Date: 2025-03-29T05:58:41+00:00

Actual source code: ex12.c

      1: static char help[] = "Poisson Problem in 2d and 3d with simplicial finite elements.\n\
      2: We solve the Poisson problem in a rectangular\n\
      3: domain, using a parallel unstructured mesh (DMPLEX) to discretize it.\n\
      4: This example supports discretized auxiliary fields (conductivity) as well as\n\
      5: multilevel nonlinear solvers.\n\n\n";

      7: /*
      8: A visualization of the adaptation can be accomplished using:

     10:   -dm_adapt_view hdf5:$PWD/adapt.h5 -sol_adapt_view hdf5:$PWD/adapt.h5::append -dm_adapt_pre_view hdf5:$PWD/orig.h5 -sol_adapt_pre_view hdf5:$PWD/orig.h5::append

     12: Information on refinement:

     14:    -info :~sys,vec,is,mat,ksp,snes,ts
     15: */

     17: #include <petscdmplex.h>
     18: #include <petscdmadaptor.h>
     19: #include <petscsnes.h>
     20: #include <petscds.h>
     21: #include <petscviewerhdf5.h>

     23: typedef enum {
     24:   NEUMANN,
     25:   DIRICHLET,
     26:   NONE
     27: } BCType;
     28: typedef enum {
     29:   RUN_FULL,
     30:   RUN_EXACT,
     31:   RUN_TEST,
     32:   RUN_PERF
     33: } RunType;
     34: typedef enum {
     35:   COEFF_NONE,
     36:   COEFF_ANALYTIC,
     37:   COEFF_FIELD,
     38:   COEFF_NONLINEAR,
     39:   COEFF_BALL,
     40:   COEFF_CROSS,
     41:   COEFF_CHECKERBOARD_0,
     42:   COEFF_CHECKERBOARD_1
     43: } CoeffType;

     45: typedef struct {
     46:   RunType   runType;    /* Whether to run tests, or solve the full problem */
     47:   PetscBool jacobianMF; /* Whether to calculate the Jacobian action on the fly */
     48:   PetscBool showInitial, showSolution, restart, quiet, nonzInit;
     49:   /* Problem definition */
     50:   BCType    bcType;
     51:   CoeffType variableCoefficient;
     52:   PetscErrorCode (**exactFuncs)(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx);
     53:   PetscBool fieldBC;
     54:   void (**exactFields)(PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[], const PetscScalar[], const PetscScalar[], const PetscInt[], const PetscInt[], const PetscScalar[], const PetscScalar[], const PetscScalar[], PetscReal, const PetscReal[], PetscInt, const PetscScalar[], PetscScalar[]);
     55:   PetscBool bdIntegral; /* Compute the integral of the solution on the boundary */
     56:   /* Reproducing tests from SISC 40(3), pp. A1473-A1493, 2018 */
     57:   PetscInt  div;   /* Number of divisions */
     58:   PetscInt  k;     /* Parameter for checkerboard coefficient */
     59:   PetscInt *kgrid; /* Random parameter grid */
     60:   PetscBool rand;  /* Make random assignments */
     61:   /* Solver */
     62:   PC        pcmg;     /* This is needed for error monitoring */
     63:   PetscBool checkksp; /* Whether to check the KSPSolve for runType == RUN_TEST */
     64: } AppCtx;

     66: static PetscErrorCode zero(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
     67: {
     68:   u[0] = 0.0;
     69:   return PETSC_SUCCESS;
     70: }

     72: static PetscErrorCode ecks(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
     73: {
     74:   u[0] = x[0];
     75:   return PETSC_SUCCESS;
     76: }

     78: /*
     79:   In 2D for Dirichlet conditions, we use exact solution:

     81:     u = x^2 + y^2
     82:     f = 4

     84:   so that

     86:     -\Delta u + f = -4 + 4 = 0

     88:   For Neumann conditions, we have

     90:     -\nabla u \cdot -\hat y |_{y=0} =  (2y)|_{y=0} =  0 (bottom)
     91:     -\nabla u \cdot  \hat y |_{y=1} = -(2y)|_{y=1} = -2 (top)
     92:     -\nabla u \cdot -\hat x |_{x=0} =  (2x)|_{x=0} =  0 (left)
     93:     -\nabla u \cdot  \hat x |_{x=1} = -(2x)|_{x=1} = -2 (right)

     95:   Which we can express as

     97:     \nabla u \cdot  \hat n|_\Gamma = {2 x, 2 y} \cdot \hat n = 2 (x + y)

     99:   The boundary integral of this solution is (assuming we are not orienting the edges)

    101:     \int^1_0 x^2 dx + \int^1_0 (1 + y^2) dy + \int^1_0 (x^2 + 1) dx + \int^1_0 y^2 dy = 1/3 + 4/3 + 4/3 + 1/3 = 3 1/3
    102: */
    103: static PetscErrorCode quadratic_u_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
    104: {
    105:   *u = x[0] * x[0] + x[1] * x[1];
    106:   return PETSC_SUCCESS;
    107: }

    109: static void quadratic_u_field_2d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar uexact[])
    110: {
    111:   uexact[0] = a[0];
    112: }

    114: static PetscErrorCode ball_u_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
    115: {
    116:   const PetscReal alpha   = 500.;
    117:   const PetscReal radius2 = PetscSqr(0.15);
    118:   const PetscReal r2      = PetscSqr(x[0] - 0.5) + PetscSqr(x[1] - 0.5);
    119:   const PetscReal xi      = alpha * (radius2 - r2);

    121:   *u = PetscTanhScalar(xi) + 1.0;
    122:   return PETSC_SUCCESS;
    123: }

    125: static PetscErrorCode cross_u_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
    126: {
    127:   const PetscReal alpha = 50 * 4;
    128:   const PetscReal xy    = (x[0] - 0.5) * (x[1] - 0.5);

    130:   *u = PetscSinReal(alpha * xy) * (alpha * PetscAbsReal(xy) < 2 * PETSC_PI ? 1 : 0.01);
    131:   return PETSC_SUCCESS;
    132: }

    134: static void f0_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
    135: {
    136:   f0[0] = 4.0;
    137: }

    139: static void f0_ball_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
    140: {
    141:   PetscInt        d;
    142:   const PetscReal alpha = 500., radius2 = PetscSqr(0.15);
    143:   PetscReal       r2, xi;

    145:   for (d = 0, r2 = 0.0; d < dim; ++d) r2 += PetscSqr(x[d] - 0.5);
    146:   xi    = alpha * (radius2 - r2);
    147:   f0[0] = (-2.0 * dim * alpha - 8.0 * PetscSqr(alpha) * r2 * PetscTanhReal(xi)) * PetscSqr(1.0 / PetscCoshReal(xi));
    148: }

    150: static void f0_cross_u_2d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
    151: {
    152:   const PetscReal alpha = 50 * 4;
    153:   const PetscReal xy    = (x[0] - 0.5) * (x[1] - 0.5);

    155:   f0[0] = PetscSinReal(alpha * xy) * (alpha * PetscAbsReal(xy) < 2 * PETSC_PI ? 1 : 0.01);
    156: }

    158: static void f0_checkerboard_0_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
    159: {
    160:   f0[0] = -20.0 * PetscExpReal(-(PetscSqr(x[0] - 0.5) + PetscSqr(x[1] - 0.5)));
    161: }

    163: static void f0_bd_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], const PetscReal n[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
    164: {
    165:   PetscInt d;
    166:   for (d = 0, f0[0] = 0.0; d < dim; ++d) f0[0] += -n[d] * 2.0 * x[d];
    167: }

    169: /* gradU[comp*dim+d] = {u_x, u_y} or {u_x, u_y, u_z} */
    170: static void f1_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[])
    171: {
    172:   PetscInt d;
    173:   for (d = 0; d < dim; ++d) f1[d] = u_x[d];
    174: }

    176: /* < \nabla v, \nabla u + {\nabla u}^T >
    177:    This just gives \nabla u, give the perdiagonal for the transpose */
    178: static void g3_uu(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g3[])
    179: {
    180:   PetscInt d;
    181:   for (d = 0; d < dim; ++d) g3[d * dim + d] = 1.0;
    182: }

    184: /*
    185:   In 2D for x periodicity and y Dirichlet conditions, we use exact solution:

    187:     u = sin(2 pi x)
    188:     f = -4 pi^2 sin(2 pi x)

    190:   so that

    192:     -\Delta u + f = 4 pi^2 sin(2 pi x) - 4 pi^2 sin(2 pi x) = 0
    193: */
    194: static PetscErrorCode xtrig_u_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
    195: {
    196:   *u = PetscSinReal(2.0 * PETSC_PI * x[0]);
    197:   return PETSC_SUCCESS;
    198: }

    200: static void f0_xtrig_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
    201: {
    202:   f0[0] = -4.0 * PetscSqr(PETSC_PI) * PetscSinReal(2.0 * PETSC_PI * x[0]);
    203: }

    205: /*
    206:   In 2D for x-y periodicity, we use exact solution:

    208:     u = sin(2 pi x) sin(2 pi y)
    209:     f = -8 pi^2 sin(2 pi x)

    211:   so that

    213:     -\Delta u + f = 4 pi^2 sin(2 pi x) sin(2 pi y) + 4 pi^2 sin(2 pi x) sin(2 pi y) - 8 pi^2 sin(2 pi x) = 0
    214: */
    215: static PetscErrorCode xytrig_u_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
    216: {
    217:   *u = PetscSinReal(2.0 * PETSC_PI * x[0]) * PetscSinReal(2.0 * PETSC_PI * x[1]);
    218:   return PETSC_SUCCESS;
    219: }

    221: static void f0_xytrig_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
    222: {
    223:   f0[0] = -8.0 * PetscSqr(PETSC_PI) * PetscSinReal(2.0 * PETSC_PI * x[0]);
    224: }

    226: /*
    227:   In 2D for Dirichlet conditions with a variable coefficient, we use exact solution:

    229:     u  = x^2 + y^2
    230:     f  = 6 (x + y)
    231:     nu = (x + y)

    233:   so that

    235:     -\div \nu \grad u + f = -6 (x + y) + 6 (x + y) = 0
    236: */
    237: static PetscErrorCode nu_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
    238: {
    239:   *u = x[0] + x[1];
    240:   return PETSC_SUCCESS;
    241: }

    243: static PetscErrorCode checkerboardCoeff(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
    244: {
    245:   AppCtx  *user = (AppCtx *)ctx;
    246:   PetscInt div  = user->div;
    247:   PetscInt k    = user->k;
    248:   PetscInt mask = 0, ind = 0, d;

    250:   PetscFunctionBeginUser;
    251:   for (d = 0; d < dim; ++d) mask = (mask + (PetscInt)(x[d] * div)) % 2;
    252:   if (user->kgrid) {
    253:     for (d = 0; d < dim; ++d) {
    254:       if (d > 0) ind *= dim;
    255:       ind += (PetscInt)(x[d] * div);
    256:     }
    257:     k = user->kgrid[ind];
    258:   }
    259:   u[0] = mask ? 1.0 : PetscPowRealInt(10.0, -k);
    260:   PetscFunctionReturn(PETSC_SUCCESS);
    261: }

    263: void f0_analytic_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
    264: {
    265:   f0[0] = 6.0 * (x[0] + x[1]);
    266: }

    268: /* gradU[comp*dim+d] = {u_x, u_y} or {u_x, u_y, u_z} */
    269: void f1_analytic_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[])
    270: {
    271:   PetscInt d;
    272:   for (d = 0; d < dim; ++d) f1[d] = (x[0] + x[1]) * u_x[d];
    273: }

    275: void f1_field_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[])
    276: {
    277:   PetscInt d;
    278:   for (d = 0; d < dim; ++d) f1[d] = a[0] * u_x[d];
    279: }

    281: /* < \nabla v, \nabla u + {\nabla u}^T >
    282:    This just gives \nabla u, give the perdiagonal for the transpose */
    283: void g3_analytic_uu(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g3[])
    284: {
    285:   PetscInt d;
    286:   for (d = 0; d < dim; ++d) g3[d * dim + d] = x[0] + x[1];
    287: }

    289: void g3_field_uu(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g3[])
    290: {
    291:   PetscInt d;
    292:   for (d = 0; d < dim; ++d) g3[d * dim + d] = a[0];
    293: }

    295: /*
    296:   In 2D for Dirichlet conditions with a nonlinear coefficient (p-Laplacian with p = 4), we use exact solution:

    298:     u  = x^2 + y^2
    299:     f  = 16 (x^2 + y^2)
    300:     nu = 1/2 |grad u|^2

    302:   so that

    304:     -\div \nu \grad u + f = -16 (x^2 + y^2) + 16 (x^2 + y^2) = 0
    305: */
    306: void f0_analytic_nonlinear_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
    307: {
    308:   f0[0] = 16.0 * (x[0] * x[0] + x[1] * x[1]);
    309: }

    311: /* gradU[comp*dim+d] = {u_x, u_y} or {u_x, u_y, u_z} */
    312: void f1_analytic_nonlinear_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[])
    313: {
    314:   PetscScalar nu = 0.0;
    315:   PetscInt    d;
    316:   for (d = 0; d < dim; ++d) nu += u_x[d] * u_x[d];
    317:   for (d = 0; d < dim; ++d) f1[d] = 0.5 * nu * u_x[d];
    318: }

    320: /*
    321:   grad (u + eps w) - grad u = eps grad w

    323:   1/2 |grad (u + eps w)|^2 grad (u + eps w) - 1/2 |grad u|^2 grad u
    324: = 1/2 (|grad u|^2 + 2 eps <grad u,grad w>) (grad u + eps grad w) - 1/2 |grad u|^2 grad u
    325: = 1/2 (eps |grad u|^2 grad w + 2 eps <grad u,grad w> grad u)
    326: = eps (1/2 |grad u|^2 grad w + grad u <grad u,grad w>)
    327: */
    328: void g3_analytic_nonlinear_uu(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g3[])
    329: {
    330:   PetscScalar nu = 0.0;
    331:   PetscInt    d, e;
    332:   for (d = 0; d < dim; ++d) nu += u_x[d] * u_x[d];
    333:   for (d = 0; d < dim; ++d) {
    334:     g3[d * dim + d] = 0.5 * nu;
    335:     for (e = 0; e < dim; ++e) g3[d * dim + e] += u_x[d] * u_x[e];
    336:   }
    337: }

    339: /*
    340:   In 3D for Dirichlet conditions we use exact solution:

    342:     u = 2/3 (x^2 + y^2 + z^2)
    343:     f = 4

    345:   so that

    347:     -\Delta u + f = -2/3 * 6 + 4 = 0

    349:   For Neumann conditions, we have

    351:     -\nabla u \cdot -\hat z |_{z=0} =  (2z)|_{z=0} =  0 (bottom)
    352:     -\nabla u \cdot  \hat z |_{z=1} = -(2z)|_{z=1} = -2 (top)
    353:     -\nabla u \cdot -\hat y |_{y=0} =  (2y)|_{y=0} =  0 (front)
    354:     -\nabla u \cdot  \hat y |_{y=1} = -(2y)|_{y=1} = -2 (back)
    355:     -\nabla u \cdot -\hat x |_{x=0} =  (2x)|_{x=0} =  0 (left)
    356:     -\nabla u \cdot  \hat x |_{x=1} = -(2x)|_{x=1} = -2 (right)

    358:   Which we can express as

    360:     \nabla u \cdot  \hat n|_\Gamma = {2 x, 2 y, 2z} \cdot \hat n = 2 (x + y + z)
    361: */
    362: static PetscErrorCode quadratic_u_3d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
    363: {
    364:   *u = 2.0 * (x[0] * x[0] + x[1] * x[1] + x[2] * x[2]) / 3.0;
    365:   return PETSC_SUCCESS;
    366: }

    368: static PetscErrorCode ball_u_3d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
    369: {
    370:   const PetscReal alpha   = 500.;
    371:   const PetscReal radius2 = PetscSqr(0.15);
    372:   const PetscReal r2      = PetscSqr(x[0] - 0.5) + PetscSqr(x[1] - 0.5) + PetscSqr(x[2] - 0.5);
    373:   const PetscReal xi      = alpha * (radius2 - r2);

    375:   *u = PetscTanhScalar(xi) + 1.0;
    376:   return PETSC_SUCCESS;
    377: }

    379: static void quadratic_u_field_3d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar uexact[])
    380: {
    381:   uexact[0] = a[0];
    382: }

    384: static PetscErrorCode cross_u_3d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
    385: {
    386:   const PetscReal alpha = 50 * 4;
    387:   const PetscReal xyz   = (x[0] - 0.5) * (x[1] - 0.5) * (x[2] - 0.5);

    389:   *u = PetscSinReal(alpha * xyz) * (alpha * PetscAbsReal(xyz) < 2 * PETSC_PI ? (alpha * PetscAbsReal(xyz) > -2 * PETSC_PI ? 1.0 : 0.01) : 0.01);
    390:   return PETSC_SUCCESS;
    391: }

    393: static void f0_cross_u_3d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
    394: {
    395:   const PetscReal alpha = 50 * 4;
    396:   const PetscReal xyz   = (x[0] - 0.5) * (x[1] - 0.5) * (x[2] - 0.5);

    398:   f0[0] = PetscSinReal(alpha * xyz) * (alpha * PetscAbsReal(xyz) < 2 * PETSC_PI ? (alpha * PetscAbsReal(xyz) > -2 * PETSC_PI ? 1.0 : 0.01) : 0.01);
    399: }

    401: static void bd_integral_2d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], const PetscReal n[], PetscInt numConstants, const PetscScalar constants[], PetscScalar *uint)
    402: {
    403:   uint[0] = u[0];
    404: }

    406: static PetscErrorCode ProcessOptions(MPI_Comm comm, AppCtx *options)
    407: {
    408:   const char *bcTypes[3]    = {"neumann", "dirichlet", "none"};
    409:   const char *runTypes[4]   = {"full", "exact", "test", "perf"};
    410:   const char *coeffTypes[8] = {"none", "analytic", "field", "nonlinear", "ball", "cross", "checkerboard_0", "checkerboard_1"};
    411:   PetscInt    bc, run, coeff;

    413:   PetscFunctionBeginUser;
    414:   options->runType             = RUN_FULL;
    415:   options->bcType              = DIRICHLET;
    416:   options->variableCoefficient = COEFF_NONE;
    417:   options->fieldBC             = PETSC_FALSE;
    418:   options->jacobianMF          = PETSC_FALSE;
    419:   options->showInitial         = PETSC_FALSE;
    420:   options->showSolution        = PETSC_FALSE;
    421:   options->restart             = PETSC_FALSE;
    422:   options->quiet               = PETSC_FALSE;
    423:   options->nonzInit            = PETSC_FALSE;
    424:   options->bdIntegral          = PETSC_FALSE;
    425:   options->checkksp            = PETSC_FALSE;
    426:   options->div                 = 4;
    427:   options->k                   = 1;
    428:   options->kgrid               = NULL;
    429:   options->rand                = PETSC_FALSE;

    431:   PetscOptionsBegin(comm, "", "Poisson Problem Options", "DMPLEX");
    432:   run = options->runType;
    433:   PetscCall(PetscOptionsEList("-run_type", "The run type", "ex12.c", runTypes, 4, runTypes[options->runType], &run, NULL));
    434:   options->runType = (RunType)run;
    435:   bc               = options->bcType;
    436:   PetscCall(PetscOptionsEList("-bc_type", "Type of boundary condition", "ex12.c", bcTypes, 3, bcTypes[options->bcType], &bc, NULL));
    437:   options->bcType = (BCType)bc;
    438:   coeff           = options->variableCoefficient;
    439:   PetscCall(PetscOptionsEList("-variable_coefficient", "Type of variable coefficient", "ex12.c", coeffTypes, 8, coeffTypes[options->variableCoefficient], &coeff, NULL));
    440:   options->variableCoefficient = (CoeffType)coeff;

    442:   PetscCall(PetscOptionsBool("-field_bc", "Use a field representation for the BC", "ex12.c", options->fieldBC, &options->fieldBC, NULL));
    443:   PetscCall(PetscOptionsBool("-jacobian_mf", "Calculate the action of the Jacobian on the fly", "ex12.c", options->jacobianMF, &options->jacobianMF, NULL));
    444:   PetscCall(PetscOptionsBool("-show_initial", "Output the initial guess for verification", "ex12.c", options->showInitial, &options->showInitial, NULL));
    445:   PetscCall(PetscOptionsBool("-show_solution", "Output the solution for verification", "ex12.c", options->showSolution, &options->showSolution, NULL));
    446:   PetscCall(PetscOptionsBool("-restart", "Read in the mesh and solution from a file", "ex12.c", options->restart, &options->restart, NULL));
    447:   PetscCall(PetscOptionsBool("-quiet", "Don't print any vecs", "ex12.c", options->quiet, &options->quiet, NULL));
    448:   PetscCall(PetscOptionsBool("-nonzero_initial_guess", "nonzero initial guess", "ex12.c", options->nonzInit, &options->nonzInit, NULL));
    449:   PetscCall(PetscOptionsBool("-bd_integral", "Compute the integral of the solution on the boundary", "ex12.c", options->bdIntegral, &options->bdIntegral, NULL));
    450:   if (options->runType == RUN_TEST) PetscCall(PetscOptionsBool("-run_test_check_ksp", "Check solution of KSP", "ex12.c", options->checkksp, &options->checkksp, NULL));
    451:   PetscCall(PetscOptionsInt("-div", "The number of division for the checkerboard coefficient", "ex12.c", options->div, &options->div, NULL));
    452:   PetscCall(PetscOptionsInt("-k", "The exponent for the checkerboard coefficient", "ex12.c", options->k, &options->k, NULL));
    453:   PetscCall(PetscOptionsBool("-k_random", "Assign random k values to checkerboard", "ex12.c", options->rand, &options->rand, NULL));
    454:   PetscOptionsEnd();
    455:   PetscFunctionReturn(PETSC_SUCCESS);
    456: }

    458: static PetscErrorCode CreateBCLabel(DM dm, const char name[])
    459: {
    460:   DM      plex;
    461:   DMLabel label;

    463:   PetscFunctionBeginUser;
    464:   PetscCall(DMCreateLabel(dm, name));
    465:   PetscCall(DMGetLabel(dm, name, &label));
    466:   PetscCall(DMConvert(dm, DMPLEX, &plex));
    467:   PetscCall(DMPlexMarkBoundaryFaces(plex, 1, label));
    468:   PetscCall(DMDestroy(&plex));
    469:   PetscFunctionReturn(PETSC_SUCCESS);
    470: }

    472: static PetscErrorCode CreateMesh(MPI_Comm comm, AppCtx *user, DM *dm)
    473: {
    474:   PetscFunctionBeginUser;
    475:   PetscCall(DMCreate(comm, dm));
    476:   PetscCall(DMSetType(*dm, DMPLEX));
    477:   PetscCall(DMSetFromOptions(*dm));
    478:   {
    479:     char      convType[256];
    480:     PetscBool flg;

    482:     PetscOptionsBegin(comm, "", "Mesh conversion options", "DMPLEX");
    483:     PetscCall(PetscOptionsFList("-dm_plex_convert_type", "Convert DMPlex to another format", "ex12", DMList, DMPLEX, convType, 256, &flg));
    484:     PetscOptionsEnd();
    485:     if (flg) {
    486:       DM dmConv;

    488:       PetscCall(DMConvert(*dm, convType, &dmConv));
    489:       if (dmConv) {
    490:         PetscCall(DMDestroy(dm));
    491:         *dm = dmConv;
    492:       }
    493:       PetscCall(DMSetFromOptions(*dm));
    494:       PetscCall(DMSetUp(*dm));
    495:     }
    496:   }
    497:   PetscCall(DMViewFromOptions(*dm, NULL, "-dm_view"));
    498:   if (user->rand) {
    499:     PetscRandom r;
    500:     PetscReal   val;
    501:     PetscInt    dim, N, i;

    503:     PetscCall(DMGetDimension(*dm, &dim));
    504:     N = PetscPowInt(user->div, dim);
    505:     PetscCall(PetscMalloc1(N, &user->kgrid));
    506:     PetscCall(PetscRandomCreate(PETSC_COMM_SELF, &r));
    507:     PetscCall(PetscRandomSetFromOptions(r));
    508:     PetscCall(PetscRandomSetInterval(r, 0.0, user->k));
    509:     PetscCall(PetscRandomSetSeed(r, 1973));
    510:     PetscCall(PetscRandomSeed(r));
    511:     for (i = 0; i < N; ++i) {
    512:       PetscCall(PetscRandomGetValueReal(r, &val));
    513:       user->kgrid[i] = 1 + (PetscInt)val;
    514:     }
    515:     PetscCall(PetscRandomDestroy(&r));
    516:   }
    517:   PetscFunctionReturn(PETSC_SUCCESS);
    518: }

    520: static PetscErrorCode SetupProblem(DM dm, AppCtx *user)
    521: {
    522:   PetscDS          ds;
    523:   DMLabel          label;
    524:   PetscWeakForm    wf;
    525:   const PetscReal *L;
    526:   const PetscInt   id = 1;
    527:   PetscInt         bd, dim;

    529:   PetscFunctionBeginUser;
    530:   PetscCall(DMGetDS(dm, &ds));
    531:   PetscCall(DMGetDimension(dm, &dim));
    532:   PetscCall(DMGetPeriodicity(dm, NULL, NULL, &L));
    533:   switch (user->variableCoefficient) {
    534:   case COEFF_NONE:
    535:     if (L && L[0]) {
    536:       if (L && L[1]) {
    537:         PetscCall(PetscDSSetResidual(ds, 0, f0_xytrig_u, f1_u));
    538:         PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu));
    539:       } else {
    540:         PetscCall(PetscDSSetResidual(ds, 0, f0_xtrig_u, f1_u));
    541:         PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu));
    542:       }
    543:     } else {
    544:       PetscCall(PetscDSSetResidual(ds, 0, f0_u, f1_u));
    545:       PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu));
    546:     }
    547:     break;
    548:   case COEFF_ANALYTIC:
    549:     PetscCall(PetscDSSetResidual(ds, 0, f0_analytic_u, f1_analytic_u));
    550:     PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_analytic_uu));
    551:     break;
    552:   case COEFF_FIELD:
    553:     PetscCall(PetscDSSetResidual(ds, 0, f0_analytic_u, f1_field_u));
    554:     PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_field_uu));
    555:     break;
    556:   case COEFF_NONLINEAR:
    557:     PetscCall(PetscDSSetResidual(ds, 0, f0_analytic_nonlinear_u, f1_analytic_nonlinear_u));
    558:     PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_analytic_nonlinear_uu));
    559:     break;
    560:   case COEFF_BALL:
    561:     PetscCall(PetscDSSetResidual(ds, 0, f0_ball_u, f1_u));
    562:     PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu));
    563:     break;
    564:   case COEFF_CROSS:
    565:     switch (dim) {
    566:     case 2:
    567:       PetscCall(PetscDSSetResidual(ds, 0, f0_cross_u_2d, f1_u));
    568:       break;
    569:     case 3:
    570:       PetscCall(PetscDSSetResidual(ds, 0, f0_cross_u_3d, f1_u));
    571:       break;
    572:     default:
    573:       SETERRQ(PETSC_COMM_WORLD, PETSC_ERR_ARG_OUTOFRANGE, "Invalid dimension %" PetscInt_FMT, dim);
    574:     }
    575:     PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu));
    576:     break;
    577:   case COEFF_CHECKERBOARD_0:
    578:     PetscCall(PetscDSSetResidual(ds, 0, f0_checkerboard_0_u, f1_field_u));
    579:     PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_field_uu));
    580:     break;
    581:   default:
    582:     SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Invalid variable coefficient type %d", user->variableCoefficient);
    583:   }
    584:   switch (dim) {
    585:   case 2:
    586:     switch (user->variableCoefficient) {
    587:     case COEFF_BALL:
    588:       user->exactFuncs[0] = ball_u_2d;
    589:       break;
    590:     case COEFF_CROSS:
    591:       user->exactFuncs[0] = cross_u_2d;
    592:       break;
    593:     case COEFF_CHECKERBOARD_0:
    594:       user->exactFuncs[0] = zero;
    595:       break;
    596:     default:
    597:       if (L && L[0]) {
    598:         if (L && L[1]) {
    599:           user->exactFuncs[0] = xytrig_u_2d;
    600:         } else {
    601:           user->exactFuncs[0] = xtrig_u_2d;
    602:         }
    603:       } else {
    604:         user->exactFuncs[0]  = quadratic_u_2d;
    605:         user->exactFields[0] = quadratic_u_field_2d;
    606:       }
    607:     }
    608:     if (user->bcType == NEUMANN) {
    609:       PetscCall(DMGetLabel(dm, "boundary", &label));
    610:       PetscCall(DMAddBoundary(dm, DM_BC_NATURAL, "wall", label, 1, &id, 0, 0, NULL, NULL, NULL, user, &bd));
    611:       PetscCall(PetscDSGetBoundary(ds, bd, &wf, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL));
    612:       PetscCall(PetscWeakFormSetIndexBdResidual(wf, label, id, 0, 0, 0, f0_bd_u, 0, NULL));
    613:     }
    614:     break;
    615:   case 3:
    616:     switch (user->variableCoefficient) {
    617:     case COEFF_BALL:
    618:       user->exactFuncs[0] = ball_u_3d;
    619:       break;
    620:     case COEFF_CROSS:
    621:       user->exactFuncs[0] = cross_u_3d;
    622:       break;
    623:     default:
    624:       user->exactFuncs[0]  = quadratic_u_3d;
    625:       user->exactFields[0] = quadratic_u_field_3d;
    626:     }
    627:     if (user->bcType == NEUMANN) {
    628:       PetscCall(DMGetLabel(dm, "boundary", &label));
    629:       PetscCall(DMAddBoundary(dm, DM_BC_NATURAL, "wall", label, 1, &id, 0, 0, NULL, NULL, NULL, user, &bd));
    630:       PetscCall(PetscDSGetBoundary(ds, bd, &wf, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL));
    631:       PetscCall(PetscWeakFormSetIndexBdResidual(wf, label, id, 0, 0, 0, f0_bd_u, 0, NULL));
    632:     }
    633:     break;
    634:   default:
    635:     SETERRQ(PETSC_COMM_WORLD, PETSC_ERR_ARG_OUTOFRANGE, "Invalid dimension %" PetscInt_FMT, dim);
    636:   }
    637:   /* Setup constants */
    638:   switch (user->variableCoefficient) {
    639:   case COEFF_CHECKERBOARD_0: {
    640:     PetscScalar constants[2];

    642:     constants[0] = user->div;
    643:     constants[1] = user->k;
    644:     PetscCall(PetscDSSetConstants(ds, 2, constants));
    645:   } break;
    646:   default:
    647:     break;
    648:   }
    649:   PetscCall(PetscDSSetExactSolution(ds, 0, user->exactFuncs[0], user));
    650:   /* Setup Boundary Conditions */
    651:   if (user->bcType == DIRICHLET) {
    652:     PetscCall(DMGetLabel(dm, "marker", &label));
    653:     if (!label) {
    654:       /* Right now, p4est cannot create labels immediately */
    655:       PetscCall(PetscDSAddBoundaryByName(ds, user->fieldBC ? DM_BC_ESSENTIAL_FIELD : DM_BC_ESSENTIAL, "wall", "marker", 1, &id, 0, 0, NULL, user->fieldBC ? (void (*)(void))user->exactFields[0] : (void (*)(void))user->exactFuncs[0], NULL, user, NULL));
    656:     } else {
    657:       PetscCall(DMAddBoundary(dm, user->fieldBC ? DM_BC_ESSENTIAL_FIELD : DM_BC_ESSENTIAL, "wall", label, 1, &id, 0, 0, NULL, user->fieldBC ? (void (*)(void))user->exactFields[0] : (void (*)(void))user->exactFuncs[0], NULL, user, NULL));
    658:     }
    659:   }
    660:   PetscFunctionReturn(PETSC_SUCCESS);
    661: }

    663: static PetscErrorCode SetupMaterial(DM dm, DM dmAux, AppCtx *user)
    664: {
    665:   PetscErrorCode (*matFuncs[1])(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar u[], void *ctx) = {nu_2d};
    666:   void *ctx[1];
    667:   Vec   nu;

    669:   PetscFunctionBegin;
    670:   ctx[0] = user;
    671:   if (user->variableCoefficient == COEFF_CHECKERBOARD_0) matFuncs[0] = checkerboardCoeff;
    672:   PetscCall(DMCreateLocalVector(dmAux, &nu));
    673:   PetscCall(PetscObjectSetName((PetscObject)nu, "Coefficient"));
    674:   PetscCall(DMProjectFunctionLocal(dmAux, 0.0, matFuncs, ctx, INSERT_ALL_VALUES, nu));
    675:   PetscCall(DMSetAuxiliaryVec(dm, NULL, 0, 0, nu));
    676:   PetscCall(VecDestroy(&nu));
    677:   PetscFunctionReturn(PETSC_SUCCESS);
    678: }

    680: static PetscErrorCode SetupBC(DM dm, DM dmAux, AppCtx *user)
    681: {
    682:   PetscErrorCode (*bcFuncs[1])(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar u[], void *ctx);
    683:   Vec      uexact;
    684:   PetscInt dim;

    686:   PetscFunctionBegin;
    687:   PetscCall(DMGetDimension(dm, &dim));
    688:   if (dim == 2) bcFuncs[0] = quadratic_u_2d;
    689:   else bcFuncs[0] = quadratic_u_3d;
    690:   PetscCall(DMCreateLocalVector(dmAux, &uexact));
    691:   PetscCall(DMProjectFunctionLocal(dmAux, 0.0, bcFuncs, NULL, INSERT_ALL_VALUES, uexact));
    692:   PetscCall(DMSetAuxiliaryVec(dm, NULL, 0, 0, uexact));
    693:   PetscCall(VecDestroy(&uexact));
    694:   PetscFunctionReturn(PETSC_SUCCESS);
    695: }

    697: static PetscErrorCode SetupAuxDM(DM dm, PetscFE feAux, AppCtx *user)
    698: {
    699:   DM dmAux, coordDM;

    701:   PetscFunctionBegin;
    702:   /* MUST call DMGetCoordinateDM() in order to get p4est setup if present */
    703:   PetscCall(DMGetCoordinateDM(dm, &coordDM));
    704:   if (!feAux) PetscFunctionReturn(PETSC_SUCCESS);
    705:   PetscCall(DMClone(dm, &dmAux));
    706:   PetscCall(DMSetCoordinateDM(dmAux, coordDM));
    707:   PetscCall(DMSetField(dmAux, 0, NULL, (PetscObject)feAux));
    708:   PetscCall(DMCreateDS(dmAux));
    709:   if (user->fieldBC) PetscCall(SetupBC(dm, dmAux, user));
    710:   else PetscCall(SetupMaterial(dm, dmAux, user));
    711:   PetscCall(DMDestroy(&dmAux));
    712:   PetscFunctionReturn(PETSC_SUCCESS);
    713: }

    715: static PetscErrorCode SetupDiscretization(DM dm, AppCtx *user)
    716: {
    717:   DM        plex, cdm = dm;
    718:   PetscFE   fe, feAux = NULL;
    719:   PetscBool simplex;
    720:   PetscInt  dim;

    722:   PetscFunctionBeginUser;
    723:   PetscCall(DMGetDimension(dm, &dim));
    724:   PetscCall(DMConvert(dm, DMPLEX, &plex));
    725:   PetscCall(DMPlexIsSimplex(plex, &simplex));
    726:   PetscCall(DMDestroy(&plex));
    727:   PetscCall(PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, simplex, NULL, -1, &fe));
    728:   PetscCall(PetscObjectSetName((PetscObject)fe, "potential"));
    729:   if (user->variableCoefficient == COEFF_FIELD || user->variableCoefficient == COEFF_CHECKERBOARD_0) {
    730:     PetscCall(PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, simplex, "mat_", -1, &feAux));
    731:     PetscCall(PetscObjectSetName((PetscObject)feAux, "coefficient"));
    732:     PetscCall(PetscFECopyQuadrature(fe, feAux));
    733:   } else if (user->fieldBC) {
    734:     PetscCall(PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, simplex, "bc_", -1, &feAux));
    735:     PetscCall(PetscFECopyQuadrature(fe, feAux));
    736:   }
    737:   /* Set discretization and boundary conditions for each mesh */
    738:   PetscCall(DMSetField(dm, 0, NULL, (PetscObject)fe));
    739:   PetscCall(DMCreateDS(dm));
    740:   PetscCall(SetupProblem(dm, user));
    741:   while (cdm) {
    742:     PetscCall(SetupAuxDM(cdm, feAux, user));
    743:     if (user->bcType == DIRICHLET) {
    744:       PetscBool hasLabel;

    746:       PetscCall(DMHasLabel(cdm, "marker", &hasLabel));
    747:       if (!hasLabel) PetscCall(CreateBCLabel(cdm, "marker"));
    748:     }
    749:     PetscCall(DMCopyDisc(dm, cdm));
    750:     PetscCall(DMGetCoarseDM(cdm, &cdm));
    751:   }
    752:   PetscCall(PetscFEDestroy(&fe));
    753:   PetscCall(PetscFEDestroy(&feAux));
    754:   PetscFunctionReturn(PETSC_SUCCESS);
    755: }

    757: int main(int argc, char **argv)
    758: {
    759:   DM           dm;          /* Problem specification */
    760:   SNES         snes;        /* nonlinear solver */
    761:   Vec          u;           /* solution vector */
    762:   Mat          A, J;        /* Jacobian matrix */
    763:   MatNullSpace nullSpace;   /* May be necessary for Neumann conditions */
    764:   AppCtx       user;        /* user-defined work context */
    765:   JacActionCtx userJ;       /* context for Jacobian MF action */
    766:   PetscReal    error = 0.0; /* L_2 error in the solution */

    768:   PetscFunctionBeginUser;
    769:   PetscCall(PetscInitialize(&argc, &argv, NULL, help));
    770:   PetscCall(ProcessOptions(PETSC_COMM_WORLD, &user));
    771:   PetscCall(SNESCreate(PETSC_COMM_WORLD, &snes));
    772:   PetscCall(CreateMesh(PETSC_COMM_WORLD, &user, &dm));
    773:   PetscCall(SNESSetDM(snes, dm));
    774:   PetscCall(DMSetApplicationContext(dm, &user));

    776:   PetscCall(PetscMalloc2(1, &user.exactFuncs, 1, &user.exactFields));
    777:   PetscCall(SetupDiscretization(dm, &user));

    779:   PetscCall(DMCreateGlobalVector(dm, &u));
    780:   PetscCall(PetscObjectSetName((PetscObject)u, "potential"));

    782:   PetscCall(DMCreateMatrix(dm, &J));
    783:   if (user.jacobianMF) {
    784:     PetscInt M, m, N, n;

    786:     PetscCall(MatGetSize(J, &M, &N));
    787:     PetscCall(MatGetLocalSize(J, &m, &n));
    788:     PetscCall(MatCreate(PETSC_COMM_WORLD, &A));
    789:     PetscCall(MatSetSizes(A, m, n, M, N));
    790:     PetscCall(MatSetType(A, MATSHELL));
    791:     PetscCall(MatSetUp(A));
    792: #if 0
    793:     PetscCall(MatShellSetOperation(A, MATOP_MULT, (void (*)(void))FormJacobianAction));
    794: #endif

    796:     userJ.dm   = dm;
    797:     userJ.J    = J;
    798:     userJ.user = &user;

    800:     PetscCall(DMCreateLocalVector(dm, &userJ.u));
    801:     if (user.fieldBC) PetscCall(DMProjectFieldLocal(dm, 0.0, userJ.u, user.exactFields, INSERT_BC_VALUES, userJ.u));
    802:     else PetscCall(DMProjectFunctionLocal(dm, 0.0, user.exactFuncs, NULL, INSERT_BC_VALUES, userJ.u));
    803:     PetscCall(MatShellSetContext(A, &userJ));
    804:   } else {
    805:     A = J;
    806:   }

    808:   nullSpace = NULL;
    809:   if (user.bcType != DIRICHLET) {
    810:     PetscCall(MatNullSpaceCreate(PetscObjectComm((PetscObject)dm), PETSC_TRUE, 0, NULL, &nullSpace));
    811:     PetscCall(MatSetNullSpace(A, nullSpace));
    812:   }

    814:   PetscCall(DMPlexSetSNESLocalFEM(dm, PETSC_FALSE, &user));
    815:   PetscCall(SNESSetJacobian(snes, A, J, NULL, NULL));

    817:   PetscCall(SNESSetFromOptions(snes));

    819:   if (user.fieldBC) PetscCall(DMProjectField(dm, 0.0, u, user.exactFields, INSERT_ALL_VALUES, u));
    820:   else PetscCall(DMProjectFunction(dm, 0.0, user.exactFuncs, NULL, INSERT_ALL_VALUES, u));
    821:   if (user.restart) {
    822: #if defined(PETSC_HAVE_HDF5)
    823:     PetscViewer viewer;
    824:     char        filename[PETSC_MAX_PATH_LEN];

    826:     PetscCall(PetscOptionsGetString(NULL, NULL, "-dm_plex_filename", filename, sizeof(filename), NULL));
    827:     PetscCall(PetscViewerCreate(PETSC_COMM_WORLD, &viewer));
    828:     PetscCall(PetscViewerSetType(viewer, PETSCVIEWERHDF5));
    829:     PetscCall(PetscViewerFileSetMode(viewer, FILE_MODE_READ));
    830:     PetscCall(PetscViewerFileSetName(viewer, filename));
    831:     PetscCall(PetscViewerHDF5PushGroup(viewer, "/fields"));
    832:     PetscCall(VecLoad(u, viewer));
    833:     PetscCall(PetscViewerHDF5PopGroup(viewer));
    834:     PetscCall(PetscViewerDestroy(&viewer));
    835: #endif
    836:   }
    837:   if (user.showInitial) {
    838:     Vec lv;
    839:     PetscCall(DMGetLocalVector(dm, &lv));
    840:     PetscCall(DMGlobalToLocalBegin(dm, u, INSERT_VALUES, lv));
    841:     PetscCall(DMGlobalToLocalEnd(dm, u, INSERT_VALUES, lv));
    842:     PetscCall(DMPrintLocalVec(dm, "Local function", 1.0e-10, lv));
    843:     PetscCall(DMRestoreLocalVector(dm, &lv));
    844:   }
    845:   if (user.runType == RUN_FULL || user.runType == RUN_EXACT) {
    846:     PetscErrorCode (*initialGuess[1])(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar u[], void *ctx) = {zero};

    848:     if (user.nonzInit) initialGuess[0] = ecks;
    849:     if (user.runType == RUN_FULL) PetscCall(DMProjectFunction(dm, 0.0, initialGuess, NULL, INSERT_VALUES, u));
    850:     PetscCall(VecViewFromOptions(u, NULL, "-guess_vec_view"));
    851:     PetscCall(SNESSolve(snes, NULL, u));
    852:     PetscCall(SNESGetSolution(snes, &u));
    853:     PetscCall(SNESGetDM(snes, &dm));

    855:     if (user.showSolution) {
    856:       PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Solution\n"));
    857:       PetscCall(VecFilter(u, 3.0e-9));
    858:       PetscCall(VecView(u, PETSC_VIEWER_STDOUT_WORLD));
    859:     }
    860:   } else if (user.runType == RUN_PERF) {
    861:     Vec       r;
    862:     PetscReal res = 0.0;

    864:     PetscCall(SNESGetFunction(snes, &r, NULL, NULL));
    865:     PetscCall(SNESComputeFunction(snes, u, r));
    866:     PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Initial Residual\n"));
    867:     PetscCall(VecFilter(r, 1.0e-10));
    868:     PetscCall(VecNorm(r, NORM_2, &res));
    869:     PetscCall(PetscPrintf(PETSC_COMM_WORLD, "L_2 Residual: %g\n", (double)res));
    870:   } else {
    871:     Vec       r;
    872:     PetscReal res = 0.0, tol = 1.0e-11;

    874:     /* Check discretization error */
    875:     PetscCall(SNESGetFunction(snes, &r, NULL, NULL));
    876:     PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Initial guess\n"));
    877:     if (!user.quiet) PetscCall(VecView(u, PETSC_VIEWER_STDOUT_WORLD));
    878:     PetscCall(DMComputeL2Diff(dm, 0.0, user.exactFuncs, NULL, u, &error));
    879:     if (error < tol) PetscCall(PetscPrintf(PETSC_COMM_WORLD, "L_2 Error: < %2.1e\n", (double)tol));
    880:     else PetscCall(PetscPrintf(PETSC_COMM_WORLD, "L_2 Error: %g\n", (double)error));
    881:     /* Check residual */
    882:     PetscCall(SNESComputeFunction(snes, u, r));
    883:     PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Initial Residual\n"));
    884:     PetscCall(VecFilter(r, 1.0e-10));
    885:     if (!user.quiet) PetscCall(VecView(r, PETSC_VIEWER_STDOUT_WORLD));
    886:     PetscCall(VecNorm(r, NORM_2, &res));
    887:     PetscCall(PetscPrintf(PETSC_COMM_WORLD, "L_2 Residual: %g\n", (double)res));
    888:     /* Check Jacobian */
    889:     {
    890:       Vec b;

    892:       PetscCall(SNESComputeJacobian(snes, u, A, A));
    893:       PetscCall(VecDuplicate(u, &b));
    894:       PetscCall(VecSet(r, 0.0));
    895:       PetscCall(SNESComputeFunction(snes, r, b));
    896:       PetscCall(MatMult(A, u, r));
    897:       PetscCall(VecAXPY(r, 1.0, b));
    898:       PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Au - b = Au + F(0)\n"));
    899:       PetscCall(VecFilter(r, 1.0e-10));
    900:       if (!user.quiet) PetscCall(VecView(r, PETSC_VIEWER_STDOUT_WORLD));
    901:       PetscCall(VecNorm(r, NORM_2, &res));
    902:       PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Linear L_2 Residual: %g\n", (double)res));
    903:       /* check solver */
    904:       if (user.checkksp) {
    905:         KSP ksp;

    907:         if (nullSpace) PetscCall(MatNullSpaceRemove(nullSpace, u));
    908:         PetscCall(SNESComputeJacobian(snes, u, A, J));
    909:         PetscCall(MatMult(A, u, b));
    910:         PetscCall(SNESGetKSP(snes, &ksp));
    911:         PetscCall(KSPSetOperators(ksp, A, J));
    912:         PetscCall(KSPSolve(ksp, b, r));
    913:         PetscCall(VecAXPY(r, -1.0, u));
    914:         PetscCall(VecNorm(r, NORM_2, &res));
    915:         PetscCall(PetscPrintf(PETSC_COMM_WORLD, "KSP Error: %g\n", (double)res));
    916:       }
    917:       PetscCall(VecDestroy(&b));
    918:     }
    919:   }
    920:   PetscCall(VecViewFromOptions(u, NULL, "-vec_view"));
    921:   {
    922:     Vec nu;

    924:     PetscCall(DMGetAuxiliaryVec(dm, NULL, 0, 0, &nu));
    925:     if (nu) PetscCall(VecViewFromOptions(nu, NULL, "-coeff_view"));
    926:   }

    928:   if (user.bdIntegral) {
    929:     DMLabel          label;
    930:     PetscBdPointFunc func[1] = {bd_integral_2d};
    931:     PetscInt         id      = 1;
    932:     PetscScalar      bdInt   = 0.0;
    933:     PetscReal        exact   = 3.3333333333;

    935:     PetscCall(DMGetLabel(dm, "marker", &label));
    936:     PetscCall(DMPlexComputeBdIntegral(dm, u, label, 1, &id, func, &bdInt, NULL));
    937:     PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Solution boundary integral: %.4g\n", (double)PetscAbsScalar(bdInt)));
    938:     PetscCheck(PetscAbsReal(PetscAbsScalar(bdInt) - exact) <= PETSC_SQRT_MACHINE_EPSILON, PETSC_COMM_WORLD, PETSC_ERR_PLIB, "Invalid boundary integral %g != %g", (double)PetscAbsScalar(bdInt), (double)exact);
    939:   }

    941:   PetscCall(MatNullSpaceDestroy(&nullSpace));
    942:   if (user.jacobianMF) PetscCall(VecDestroy(&userJ.u));
    943:   if (A != J) PetscCall(MatDestroy(&A));
    944:   PetscCall(MatDestroy(&J));
    945:   PetscCall(VecDestroy(&u));
    946:   PetscCall(SNESDestroy(&snes));
    947:   PetscCall(DMDestroy(&dm));
    948:   PetscCall(PetscFree2(user.exactFuncs, user.exactFields));
    949:   PetscCall(PetscFree(user.kgrid));
    950:   PetscCall(PetscFinalize());
    951:   return 0;
    952: }

    954: /*TEST
    955:   # 2D serial P1 test 0-4
    956:   test:
    957:     suffix: 2d_p1_0
    958:     requires: triangle
    959:     args: -run_type test -bc_type dirichlet -dm_plex_interpolate 0 -petscspace_degree 1 -show_initial -dm_plex_print_fem 1

    961:   test:
    962:     suffix: 2d_p1_1
    963:     requires: triangle
    964:     args: -run_type test -bc_type dirichlet -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 -cdm_dm_plex_coordinate_dim {{2 3}}

    966:   test:
    967:     suffix: 2d_p1_1b
    968:     requires: triangle
    969:     args: -run_type test -bc_type dirichlet -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 -dm_refine 3 -dm_coord_space 0 \
    970:           -dm_plex_option_phases proj_ -cdm_proj_dm_plex_coordinate_dim 3 -proj_dm_coord_space \
    971:           -proj_dm_coord_remap -proj_dm_coord_map sinusoid -proj_dm_coord_map_params 0.1,1.,1.

    973:   test:
    974:     suffix: 2d_p1_2
    975:     requires: triangle
    976:     args: -run_type test -dm_refine_volume_limit_pre 0.0625 -bc_type dirichlet -petscspace_degree 1 -show_initial -dm_plex_print_fem 1

    978:   test:
    979:     suffix: 2d_p1_neumann_0
    980:     requires: triangle
    981:     args: -dm_coord_space 0 -run_type test -bc_type neumann -dm_plex_boundary_label boundary -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 -dm_view ascii::ascii_info_detail

    983:   test:
    984:     suffix: 2d_p1_neumann_1
    985:     requires: triangle
    986:     args: -run_type test -dm_refine_volume_limit_pre 0.0625 -bc_type neumann -dm_plex_boundary_label boundary -petscspace_degree 1 -show_initial -dm_plex_print_fem 1

    988:   # 2D serial P2 test 5-8
    989:   test:
    990:     suffix: 2d_p2_0
    991:     requires: triangle
    992:     args: -run_type test -bc_type dirichlet -petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    994:   test:
    995:     suffix: 2d_p2_1
    996:     requires: triangle
    997:     args: -run_type test -dm_refine_volume_limit_pre 0.0625 -bc_type dirichlet -petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    999:   test:
    1000:     suffix: 2d_p2_neumann_0
    1001:     requires: triangle
    1002:     args: -dm_coord_space 0 -run_type test -bc_type neumann -dm_plex_boundary_label boundary -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 -dm_view ascii::ascii_info_detail

    1004:   test:
    1005:     suffix: 2d_p2_neumann_1
    1006:     requires: triangle
    1007:     args: -dm_coord_space 0 -run_type test -dm_refine_volume_limit_pre 0.0625 -bc_type neumann -dm_plex_boundary_label boundary -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 -dm_view ascii::ascii_info_detail

    1009:   test:
    1010:     suffix: bd_int_0
    1011:     requires: triangle
    1012:     args: -run_type test -bc_type dirichlet -petscspace_degree 2 -bd_integral -dm_view -quiet

    1014:   test:
    1015:     suffix: bd_int_1
    1016:     requires: triangle
    1017:     args: -run_type test -dm_refine 2 -bc_type dirichlet -petscspace_degree 2 -bd_integral -dm_view -quiet

    1019:   # 3D serial P1 test 9-12
    1020:   test:
    1021:     suffix: 3d_p1_0
    1022:     requires: ctetgen
    1023:     args: -run_type test -dm_plex_dim 3 -bc_type dirichlet -dm_plex_interpolate 0 -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 -dm_view

    1025:   test:
    1026:     suffix: 3d_p1_1
    1027:     requires: ctetgen
    1028:     args: -run_type test -dm_plex_dim 3 -bc_type dirichlet -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 -dm_view

    1030:   test:
    1031:     suffix: 3d_p1_2
    1032:     requires: ctetgen
    1033:     args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -bc_type dirichlet -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 -dm_view

    1035:   test:
    1036:     suffix: 3d_p1_neumann_0
    1037:     requires: ctetgen
    1038:     args: -run_type test -dm_plex_dim 3 -bc_type neumann -dm_plex_boundary_label boundary -petscspace_degree 1 -snes_fd -show_initial -dm_plex_print_fem 1 -dm_view

    1040:   # Analytic variable coefficient 13-20
    1041:   test:
    1042:     suffix: 13
    1043:     requires: triangle
    1044:     args: -run_type test -variable_coefficient analytic -petscspace_degree 1 -show_initial -dm_plex_print_fem 1
    1045:   test:
    1046:     suffix: 14
    1047:     requires: triangle
    1048:     args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient analytic -petscspace_degree 1 -show_initial -dm_plex_print_fem 1
    1049:   test:
    1050:     suffix: 15
    1051:     requires: triangle
    1052:     args: -run_type test -variable_coefficient analytic -petscspace_degree 2 -show_initial -dm_plex_print_fem 1
    1053:   test:
    1054:     suffix: 16
    1055:     requires: triangle
    1056:     args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient analytic -petscspace_degree 2 -show_initial -dm_plex_print_fem 1
    1057:   test:
    1058:     suffix: 17
    1059:     requires: ctetgen
    1060:     args: -run_type test -dm_plex_dim 3 -variable_coefficient analytic -petscspace_degree 1 -show_initial -dm_plex_print_fem 1

    1062:   test:
    1063:     suffix: 18
    1064:     requires: ctetgen
    1065:     args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient analytic -petscspace_degree 1 -show_initial -dm_plex_print_fem 1

    1067:   test:
    1068:     suffix: 19
    1069:     requires: ctetgen
    1070:     args: -run_type test -dm_plex_dim 3 -variable_coefficient analytic -petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    1072:   test:
    1073:     suffix: 20
    1074:     requires: ctetgen
    1075:     args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient analytic -petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    1077:   # P1 variable coefficient 21-28
    1078:   test:
    1079:     suffix: 21
    1080:     requires: triangle
    1081:     args: -run_type test -variable_coefficient field -petscspace_degree 1 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1

    1083:   test:
    1084:     suffix: 22
    1085:     requires: triangle
    1086:     args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient field -petscspace_degree 1 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1

    1088:   test:
    1089:     suffix: 23
    1090:     requires: triangle
    1091:     args: -run_type test -variable_coefficient field -petscspace_degree 2 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1

    1093:   test:
    1094:     suffix: 24
    1095:     requires: triangle
    1096:     args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient field -petscspace_degree 2 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1

    1098:   test:
    1099:     suffix: 25
    1100:     requires: ctetgen
    1101:     args: -run_type test -dm_plex_dim 3 -variable_coefficient field -petscspace_degree 1 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1

    1103:   test:
    1104:     suffix: 26
    1105:     requires: ctetgen
    1106:     args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient field -petscspace_degree 1 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1

    1108:   test:
    1109:     suffix: 27
    1110:     requires: ctetgen
    1111:     args: -run_type test -dm_plex_dim 3 -variable_coefficient field -petscspace_degree 2 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1

    1113:   test:
    1114:     suffix: 28
    1115:     requires: ctetgen
    1116:     args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient field -petscspace_degree 2 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1

    1118:   # P0 variable coefficient 29-36
    1119:   test:
    1120:     suffix: 29
    1121:     requires: triangle
    1122:     args: -run_type test -variable_coefficient field -petscspace_degree 1 -show_initial -dm_plex_print_fem 1

    1124:   test:
    1125:     suffix: 30
    1126:     requires: triangle
    1127:     args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient field -petscspace_degree 1 -show_initial -dm_plex_print_fem 1

    1129:   test:
    1130:     suffix: 31
    1131:     requires: triangle
    1132:     args: -run_type test -variable_coefficient field -petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    1134:   test:
    1135:     requires: triangle
    1136:     suffix: 32
    1137:     args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient field -petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    1139:   test:
    1140:     requires: ctetgen
    1141:     suffix: 33
    1142:     args: -run_type test -dm_plex_dim 3 -variable_coefficient field -petscspace_degree 1 -show_initial -dm_plex_print_fem 1

    1144:   test:
    1145:     suffix: 34
    1146:     requires: ctetgen
    1147:     args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient field -petscspace_degree 1 -show_initial -dm_plex_print_fem 1

    1149:   test:
    1150:     suffix: 35
    1151:     requires: ctetgen
    1152:     args: -run_type test -dm_plex_dim 3 -variable_coefficient field -petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    1154:   test:
    1155:     suffix: 36
    1156:     requires: ctetgen
    1157:     args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient field -petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    1159:   # Full solve 39-44
    1160:   test:
    1161:     suffix: 39
    1162:     requires: triangle !single
    1163:     args: -run_type full -dm_refine_volume_limit_pre 0.015625 -petscspace_degree 2 -pc_type gamg -pc_gamg_esteig_ksp_type cg -pc_gamg_esteig_ksp_max_it 10 -snes_rtol 1.0e-6 -ksp_rtol 1.0e-7 -ksp_monitor -ksp_converged_reason -snes_monitor_short -snes_converged_reason ::ascii_info_detail
    1164:   test:
    1165:     suffix: 40
    1166:     requires: triangle !single
    1167:     args: -run_type full -dm_refine_volume_limit_pre 0.015625 -variable_coefficient nonlinear -petscspace_degree 2 -pc_type svd -ksp_rtol 1.0e-10 -snes_monitor_short -snes_converged_reason ::ascii_info_detail
    1168:   test:
    1169:     suffix: 41
    1170:     requires: triangle !single
    1171:     args: -run_type full -dm_refine_volume_limit_pre 0.03125 -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 2 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 1 -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short
    1172:   test:
    1173:     suffix: 42
    1174:     requires: triangle !single
    1175:     args: -run_type full -dm_refine_volume_limit_pre 0.0625 -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 2 -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short -fas_levels_2_snes_type newtonls -fas_levels_2_pc_type svd -fas_levels_2_ksp_rtol 1.0e-10 -fas_levels_2_snes_atol 1.0e-11 -fas_levels_2_snes_monitor_short
    1176:   test:
    1177:     suffix: 43
    1178:     requires: triangle !single
    1179:     nsize: 2
    1180:     args: -run_type full -dm_refine_volume_limit_pre 0.03125 -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 2 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 1 -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short

    1182:   test:
    1183:     suffix: 44
    1184:     requires: triangle !single
    1185:     nsize: 2
    1186:     args: -run_type full -dm_refine_volume_limit_pre 0.0625 -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 2 -dm_plex_print_fem 0 -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short -fas_levels_2_snes_type newtonls -fas_levels_2_pc_type svd -fas_levels_2_ksp_rtol 1.0e-10 -fas_levels_2_snes_atol 1.0e-11 -fas_levels_2_snes_monitor_short

    1188:   # These tests use a loose tolerance just to exercise the PtAP operations for MATIS and multiple PCBDDC setup calls inside PCMG
    1189:   testset:
    1190:     requires: triangle !single
    1191:     nsize: 3
    1192:     args: -run_type full -petscspace_degree 1 -dm_mat_type is -pc_type mg -mg_coarse_pc_type bddc -pc_mg_galerkin pmat -ksp_rtol 1.0e-2 -snes_converged_reason -dm_refine_hierarchy 2 -snes_max_it 4
    1193:     test:
    1194:       suffix: gmg_bddc
    1195:       filter: sed -e "s/CONVERGED_FNORM_RELATIVE iterations 3/CONVERGED_FNORM_RELATIVE iterations 4/g"
    1196:       args: -mg_levels_pc_type jacobi
    1197:     test:
    1198:       filter: sed -e "s/iterations [0-4]/iterations 4/g"
    1199:       suffix: gmg_bddc_lev
    1200:       args: -mg_levels_pc_type bddc

    1202:   # VTU viewer with empty processes
    1203:   test:
    1204:     requires: !complex
    1205:     suffix: vtu_empty
    1206:     args: -quiet -run_type test -dm_plex_simplex 0 -dm_plex_box_faces 2,2 -vec_view vtk:test.vtu:vtk_vtu -petscspace_degree 1 -petscpartitioner_type simple

    1208:   # Restarting
    1209:   testset:
    1210:     suffix: restart
    1211:     requires: hdf5 triangle !complex
    1212:     args: -run_type test -bc_type dirichlet -petscspace_degree 1
    1213:     test:
    1214:       args: -dm_view hdf5:sol.h5 -vec_view hdf5:sol.h5::append
    1215:     test:
    1216:       args: -dm_plex_filename sol.h5 -dm_plex_name box -restart

    1218:   # Periodicity
    1219:   test:
    1220:     suffix: periodic_0
    1221:     requires: triangle
    1222:     args: -run_type full -bc_type dirichlet -petscspace_degree 1 -snes_converged_reason ::ascii_info_detail

    1224:   test:
    1225:     requires: !complex
    1226:     suffix: periodic_1
    1227:     args: -quiet -run_type test -dm_plex_simplex 0 -dm_plex_box_faces 3,3 -dm_plex_box_bd periodic,periodic -vec_view vtk:test.vtu:vtk_vtu -petscspace_degree 1 -dm_refine 1

    1229:   # 2D serial P1 test with field bc
    1230:   test:
    1231:     suffix: field_bc_2d_p1_0
    1232:     requires: triangle
    1233:     args: -run_type test -bc_type dirichlet -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    1235:   test:
    1236:     suffix: field_bc_2d_p1_1
    1237:     requires: triangle
    1238:     args: -run_type test -dm_refine 1 -bc_type dirichlet -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    1240:   test:
    1241:     suffix: field_bc_2d_p1_neumann_0
    1242:     requires: triangle
    1243:     args: -run_type test -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    1245:   test:
    1246:     suffix: field_bc_2d_p1_neumann_1
    1247:     requires: triangle
    1248:     args: -run_type test -dm_refine 1 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    1250:   # 3D serial P1 test with field bc
    1251:   test:
    1252:     suffix: field_bc_3d_p1_0
    1253:     requires: ctetgen
    1254:     args: -run_type test -dm_plex_dim 3 -bc_type dirichlet -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    1256:   test:
    1257:     suffix: field_bc_3d_p1_1
    1258:     requires: ctetgen
    1259:     args: -run_type test -dm_plex_dim 3 -dm_refine 1 -bc_type dirichlet -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    1261:   test:
    1262:     suffix: field_bc_3d_p1_neumann_0
    1263:     requires: ctetgen
    1264:     args: -run_type test -dm_plex_dim 3 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    1266:   test:
    1267:     suffix: field_bc_3d_p1_neumann_1
    1268:     requires: ctetgen
    1269:     args: -run_type test -dm_plex_dim 3 -dm_refine 1 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    1271:   # 2D serial P2 test with field bc
    1272:   test:
    1273:     suffix: field_bc_2d_p2_0
    1274:     requires: triangle
    1275:     args: -run_type test -bc_type dirichlet -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    1277:   test:
    1278:     suffix: field_bc_2d_p2_1
    1279:     requires: triangle
    1280:     args: -run_type test -dm_refine 1 -bc_type dirichlet -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    1282:   test:
    1283:     suffix: field_bc_2d_p2_neumann_0
    1284:     requires: triangle
    1285:     args: -run_type test -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    1287:   test:
    1288:     suffix: field_bc_2d_p2_neumann_1
    1289:     requires: triangle
    1290:     args: -run_type test -dm_refine 1 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    1292:   # 3D serial P2 test with field bc
    1293:   test:
    1294:     suffix: field_bc_3d_p2_0
    1295:     requires: ctetgen
    1296:     args: -run_type test -dm_plex_dim 3 -bc_type dirichlet -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    1298:   test:
    1299:     suffix: field_bc_3d_p2_1
    1300:     requires: ctetgen
    1301:     args: -run_type test -dm_plex_dim 3 -dm_refine 1 -bc_type dirichlet -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    1303:   test:
    1304:     suffix: field_bc_3d_p2_neumann_0
    1305:     requires: ctetgen
    1306:     args: -run_type test -dm_plex_dim 3 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    1308:   test:
    1309:     suffix: field_bc_3d_p2_neumann_1
    1310:     requires: ctetgen
    1311:     args: -run_type test -dm_plex_dim 3 -dm_refine 1 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1

    1313:   # Full solve simplex: Convergence
    1314:   test:
    1315:     suffix: 3d_p1_conv
    1316:     requires: ctetgen
    1317:     args: -run_type full -dm_plex_dim 3 -dm_refine 1 -bc_type dirichlet -petscspace_degree 1 \
    1318:       -snes_convergence_estimate -convest_num_refine 1 -pc_type lu

    1320:   # Full solve simplex: PCBDDC
    1321:   test:
    1322:     suffix: tri_bddc
    1323:     requires: triangle !single
    1324:     nsize: 5
    1325:     args: -run_type full -petscpartitioner_type simple -dm_refine 2 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -dm_mat_type is -pc_type bddc -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0

    1327:   # Full solve simplex: PCBDDC
    1328:   test:
    1329:     suffix: tri_parmetis_bddc
    1330:     requires: triangle !single parmetis
    1331:     nsize: 4
    1332:     args: -run_type full -petscpartitioner_type parmetis -dm_refine 2 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -dm_mat_type is -pc_type bddc -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0

    1334:   testset:
    1335:     args: -run_type full -dm_plex_simplex 0 -dm_plex_box_faces 3,3 -petscpartitioner_type simple -dm_refine 2 -bc_type dirichlet -petscspace_degree 2 -dm_mat_type is -pc_type bddc -ksp_type gmres -snes_monitor_short -ksp_monitor_short -snes_view -petscspace_poly_tensor -pc_bddc_corner_selection -ksp_rtol 1.e-9 -pc_bddc_use_edges 0
    1336:     nsize: 5
    1337:     output_file: output/ex12_quad_bddc.out
    1338:     filter: sed -e "s/aijcusparse/aij/g" -e "s/aijviennacl/aij/g" -e "s/factorization: cusparse/factorization: petsc/g"
    1339:     test:
    1340:       requires: !single
    1341:       suffix: quad_bddc
    1342:     test:
    1343:       requires: !single cuda
    1344:       suffix: quad_bddc_cuda
    1345:       args: -mat_is_localmat_type aijcusparse -pc_bddc_dirichlet_pc_factor_mat_solver_type cusparse -pc_bddc_neumann_pc_factor_mat_solver_type cusparse
    1346:     test:
    1347:       requires: !single viennacl
    1348:       suffix: quad_bddc_viennacl
    1349:       args: -mat_is_localmat_type aijviennacl

    1351:   # Full solve simplex: ASM
    1352:   test:
    1353:     suffix: tri_q2q1_asm_lu
    1354:     requires: triangle !single
    1355:     args: -run_type full -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -pc_type asm -pc_asm_type restrict -pc_asm_blocks 4 -sub_pc_type lu -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0

    1357:   test:
    1358:     suffix: tri_q2q1_msm_lu
    1359:     requires: triangle !single
    1360:     args: -run_type full -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -pc_type asm -pc_asm_type restrict -pc_asm_local_type multiplicative -pc_asm_blocks 4 -sub_pc_type lu -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0

    1362:   test:
    1363:     suffix: tri_q2q1_asm_sor
    1364:     requires: triangle !single
    1365:     args: -run_type full -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -pc_type asm -pc_asm_type restrict -pc_asm_blocks 4 -sub_pc_type sor -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0

    1367:   test:
    1368:     suffix: tri_q2q1_msm_sor
    1369:     requires: triangle !single
    1370:     args: -run_type full -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -pc_type asm -pc_asm_type restrict -pc_asm_local_type multiplicative -pc_asm_blocks 4 -sub_pc_type sor -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0

    1372:   # Full solve simplex: FAS
    1373:   test:
    1374:     suffix: fas_newton_0
    1375:     requires: triangle !single
    1376:     args: -run_type full -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 2 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 1 -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short

    1378:   test:
    1379:     suffix: fas_newton_1
    1380:     requires: triangle !single
    1381:     args: -run_type full -dm_refine_hierarchy 3 -petscspace_degree 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type lu -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_snes_linesearch_type basic -fas_levels_ksp_rtol 1.0e-10 -fas_levels_snes_monitor_short
    1382:     filter: sed -e "s/total number of linear solver iterations=14/total number of linear solver iterations=15/g"

    1384:   test:
    1385:     suffix: fas_ngs_0
    1386:     requires: triangle !single
    1387:     args: -run_type full -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 2 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 1 -snes_view -fas_levels_1_snes_type ngs -fas_levels_1_snes_monitor_short

    1389:   # These two tests are broken because DMPlexComputeInjectorFEM() only works for regularly refined meshes
    1390:   test:
    1391:     suffix: fas_newton_coarse_0
    1392:     requires: pragmatic triangle
    1393:     TODO: broken
    1394:     args: -run_type full -variable_coefficient nonlinear -petscspace_degree 1 \
    1395:           -dm_refine 2 -dm_coarsen_hierarchy 1 -dm_plex_hash_location -dm_adaptor pragmatic \
    1396:           -snes_type fas -snes_fas_levels 2 -snes_converged_reason ::ascii_info_detail -snes_monitor_short -snes_view \
    1397:             -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -fas_coarse_snes_linesearch_type basic \
    1398:             -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short

    1400:   test:
    1401:     suffix: mg_newton_coarse_0
    1402:     requires: triangle pragmatic
    1403:     TODO: broken
    1404:     args: -run_type full -petscspace_degree 1 \
    1405:           -dm_refine 3 -dm_coarsen_hierarchy 3 -dm_plex_hash_location -dm_adaptor pragmatic \
    1406:           -snes_atol 1.0e-8 -snes_rtol 0.0 -snes_monitor_short -snes_converged_reason ::ascii_info_detail -snes_view \
    1407:             -ksp_type richardson -ksp_atol 1.0e-8 -ksp_rtol 0.0 -ksp_norm_type unpreconditioned -ksp_monitor_true_residual \
    1408:               -pc_type mg -pc_mg_levels 4 \
    1409:               -mg_levels_ksp_type gmres -mg_levels_pc_type ilu -mg_levels_ksp_max_it 10

    1411:   # Test cgns writer for ranks with no elements
    1412:   test:
    1413:     suffix: cgns
    1414:     nsize: 5
    1415:     requires: cgns
    1416:     args: -quiet -run_type test -dm_plex_simplex 0 -petscspace_degree 1 -dm_plex_box_faces 2,2 -vec_view cgns:test.cgns -dm_refine 0 -petscpartitioner_type simple

    1418:   # Full solve tensor
    1419:   test:
    1420:     suffix: tensor_plex_2d
    1421:     args: -run_type test -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_refine_hierarchy 2

    1423:   test:
    1424:     suffix: tensor_p4est_2d
    1425:     requires: p4est
    1426:     args: -run_type test -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_forest_initial_refinement 2 -dm_forest_minimum_refinement 0 -dm_plex_convert_type p4est

    1428:   test:
    1429:     suffix: tensor_plex_3d
    1430:     args: -run_type test -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_plex_dim 3 -dm_refine_hierarchy 1 -dm_plex_box_faces 2,2,2

    1432:   test:
    1433:     suffix: tensor_p4est_3d
    1434:     requires: p4est
    1435:     args: -run_type test -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_forest_initial_refinement 1 -dm_forest_minimum_refinement 0 -dm_plex_dim 3 -dm_plex_convert_type p8est -dm_plex_box_faces 2,2,2

    1437:   test:
    1438:     suffix: p4est_test_q2_conformal_serial
    1439:     requires: p4est
    1440:     args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2

    1442:   test:
    1443:     suffix: p4est_test_q2_conformal_parallel
    1444:     requires: p4est
    1445:     nsize: 7
    1446:     args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -petscpartitioner_type simple

    1448:   test:
    1449:     suffix: p4est_test_q2_conformal_parallel_parmetis
    1450:     requires: parmetis p4est
    1451:     nsize: 4
    1452:     args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -petscpartitioner_type parmetis

    1454:   test:
    1455:     suffix: p4est_test_q2_nonconformal_serial
    1456:     requires: p4est
    1457:     filter: grep -v "CG or CGNE: variant"
    1458:     args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash

    1460:   test:
    1461:     suffix: p4est_test_q2_nonconformal_parallel
    1462:     requires: p4est
    1463:     filter: grep -v "CG or CGNE: variant"
    1464:     nsize: 7
    1465:     args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple

    1467:   test:
    1468:     suffix: p4est_test_q2_nonconformal_parallel_parmetis
    1469:     requires: parmetis p4est
    1470:     nsize: 4
    1471:     args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type parmetis

    1473:   test:
    1474:     suffix: p4est_exact_q2_conformal_serial
    1475:     requires: p4est !single !complex !__float128
    1476:     args: -run_type exact -petscspace_degree 2 -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2

    1478:   test:
    1479:     suffix: p4est_exact_q2_conformal_parallel
    1480:     requires: p4est !single !complex !__float128
    1481:     nsize: 4
    1482:     args: -run_type exact -petscspace_degree 2 -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2

    1484:   test:
    1485:     suffix: p4est_exact_q2_conformal_parallel_parmetis
    1486:     requires: parmetis p4est !single
    1487:     nsize: 4
    1488:     args: -run_type exact -petscspace_degree 2 -fas_levels_snes_linesearch_type basic -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_snes_converged_reason -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -petscpartitioner_type parmetis

    1490:   test:
    1491:     suffix: p4est_exact_q2_nonconformal_serial
    1492:     requires: p4est
    1493:     args: -run_type exact -petscspace_degree 2 -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash

    1495:   test:
    1496:     suffix: p4est_exact_q2_nonconformal_parallel
    1497:     requires: p4est
    1498:     nsize: 7
    1499:     args: -run_type exact -petscspace_degree 2 -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple

    1501:   test:
    1502:     suffix: p4est_exact_q2_nonconformal_parallel_parmetis
    1503:     requires: parmetis p4est
    1504:     nsize: 4
    1505:     args: -run_type exact -petscspace_degree 2 -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type parmetis

    1507:   test:
    1508:     suffix: p4est_full_q2_nonconformal_serial
    1509:     requires: p4est !single
    1510:     filter: grep -v "variant HERMITIAN"
    1511:     args: -run_type full -petscspace_degree 2 -snes_max_it 20 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type jacobi -fas_coarse_ksp_type cg -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type jacobi -fas_levels_ksp_type cg -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash

    1513:   test:
    1514:     suffix: p4est_full_q2_nonconformal_parallel
    1515:     requires: p4est !single
    1516:     filter: grep -v "variant HERMITIAN"
    1517:     nsize: 7
    1518:     args: -run_type full -petscspace_degree 2 -snes_max_it 20 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type jacobi -fas_coarse_ksp_type cg -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type jacobi -fas_levels_ksp_type cg -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple

    1520:   test:
    1521:     suffix: p4est_full_q2_nonconformal_parallel_bddcfas
    1522:     requires: p4est !single
    1523:     filter: grep -v "variant HERMITIAN"
    1524:     nsize: 7
    1525:     args: -run_type full -petscspace_degree 2 -snes_max_it 20 -snes_type fas -snes_fas_levels 3 -dm_mat_type is -fas_coarse_pc_type bddc -fas_coarse_ksp_type cg -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type bddc -fas_levels_ksp_type cg -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple

    1527:   test:
    1528:     suffix: p4est_full_q2_nonconformal_parallel_bddc
    1529:     requires: p4est !single
    1530:     filter: grep -v "variant HERMITIAN"
    1531:     nsize: 7
    1532:     args: -run_type full -petscspace_degree 2 -snes_max_it 20 -snes_type newtonls -dm_mat_type is -pc_type bddc -ksp_type cg -snes_monitor_short -snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple

    1534:   test:
    1535:     TODO: broken
    1536:     suffix: p4est_fas_q2_conformal_serial
    1537:     requires: p4est !complex !__float128
    1538:     args: -run_type full -variable_coefficient nonlinear -petscspace_degree 2 -snes_max_it 20 -snes_type fas -snes_fas_levels 3 -pc_type jacobi -ksp_type gmres -fas_coarse_pc_type svd -fas_coarse_ksp_type gmres -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type svd -fas_levels_ksp_type gmres -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_refine_hierarchy 3

    1540:   test:
    1541:     TODO: broken
    1542:     suffix: p4est_fas_q2_nonconformal_serial
    1543:     requires: p4est
    1544:     args: -run_type full -variable_coefficient nonlinear -petscspace_degree 2 -snes_max_it 20 -snes_type fas -snes_fas_levels 3 -pc_type jacobi -ksp_type gmres -fas_coarse_pc_type jacobi -fas_coarse_ksp_type gmres -fas_coarse_ksp_monitor_true_residual -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type jacobi -fas_levels_ksp_type gmres -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash

    1546:   test:
    1547:     suffix: fas_newton_0_p4est
    1548:     requires: p4est !single !__float128
    1549:     args: -run_type full -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 2 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash

    1551:   # Full solve simplicial AMR
    1552:   test:
    1553:     suffix: tri_p1_adapt_init_pragmatic
    1554:     requires: pragmatic
    1555:     args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_initial 1 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor pragmatic

    1557:   test:
    1558:     suffix: tri_p2_adapt_init_pragmatic
    1559:     requires: pragmatic
    1560:     args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_initial 1 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor pragmatic

    1562:   test:
    1563:     suffix: tri_p1_adapt_init_mmg
    1564:     requires: mmg
    1565:     args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_initial 1 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor mmg

    1567:   test:
    1568:     suffix: tri_p2_adapt_init_mmg
    1569:     requires: mmg
    1570:     args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_initial 1 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor mmg

    1572:   test:
    1573:     suffix: tri_p1_adapt_seq_pragmatic
    1574:     requires: pragmatic
    1575:     args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_sequence 2 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor pragmatic

    1577:   test:
    1578:     suffix: tri_p2_adapt_seq_pragmatic
    1579:     requires: pragmatic
    1580:     args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_sequence 2 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor pragmatic

    1582:   test:
    1583:     suffix: tri_p1_adapt_seq_mmg
    1584:     requires: mmg
    1585:     args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_sequence 2 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor mmg

    1587:   test:
    1588:     suffix: tri_p2_adapt_seq_mmg
    1589:     requires: mmg
    1590:     args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_sequence 2 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor mmg

    1592:   test:
    1593:     suffix: tri_p1_adapt_analytic_pragmatic
    1594:     requires: pragmatic
    1595:     args: -run_type exact -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient cross -snes_adapt_initial 4 -adaptor_target_num 500 -dm_plex_metric_h_min 0.0001 -dm_plex_metric_h_max 0.05 -dm_adaptor pragmatic

    1597:   test:
    1598:     suffix: tri_p2_adapt_analytic_pragmatic
    1599:     requires: pragmatic
    1600:     args: -run_type exact -dm_refine 3 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient cross -snes_adapt_initial 4 -adaptor_target_num 500 -dm_plex_metric_h_min 0.0001 -dm_plex_metric_h_max 0.05 -dm_adaptor pragmatic

    1602:   test:
    1603:     suffix: tri_p1_adapt_analytic_mmg
    1604:     requires: mmg
    1605:     args: -run_type exact -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient cross -snes_adapt_initial 4 -adaptor_target_num 500 -dm_plex_metric_h_max 0.5 -dm_adaptor mmg

    1607:   test:
    1608:     suffix: tri_p2_adapt_analytic_mmg
    1609:     requires: mmg
    1610:     args: -run_type exact -dm_refine 3 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient cross -snes_adapt_initial 4 -adaptor_target_num 500 -dm_plex_metric_h_max 0.5 -dm_adaptor mmg

    1612:   test:
    1613:     suffix: tri_p1_adapt_uniform_pragmatic
    1614:     requires: pragmatic tetgen
    1615:     nsize: 2
    1616:     args: -run_type full -dm_plex_box_faces 8,8,8 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 3 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor pragmatic
    1617:     timeoutfactor: 2

    1619:   test:
    1620:     suffix: tri_p2_adapt_uniform_pragmatic
    1621:     requires: pragmatic tetgen
    1622:     nsize: 2
    1623:     args: -run_type full -dm_plex_box_faces 8,8,8 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 1 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor pragmatic
    1624:     timeoutfactor: 1

    1626:   test:
    1627:     suffix: tri_p1_adapt_uniform_mmg
    1628:     requires: mmg tetgen
    1629:     args: -run_type full -dm_plex_box_faces 4,4,4 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 3 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor mmg
    1630:     timeoutfactor: 2

    1632:   test:
    1633:     suffix: tri_p2_adapt_uniform_mmg
    1634:     requires: mmg tetgen
    1635:     TODO: broken
    1636:     args: -run_type full -dm_plex_box_faces 4,4,4 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 1 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor mmg
    1637:     timeoutfactor: 1

    1639:   test:
    1640:     suffix: tri_p1_adapt_uniform_parmmg
    1641:     requires: parmmg tetgen
    1642:     nsize: 2
    1643:     args: -run_type full -dm_plex_box_faces 8,8,8 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 3 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor parmmg
    1644:     timeoutfactor: 2

    1646:   test:
    1647:     suffix: tri_p2_adapt_uniform_parmmg
    1648:     requires: parmmg tetgen
    1649:     nsize: 2
    1650:     args: -run_type full -dm_plex_box_faces 8,8,8 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 1 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor parmmg
    1651:     timeoutfactor: 1

    1653:   # Full solve tensor AMR
    1654:   test:
    1655:     suffix: quad_q1_adapt_0
    1656:     requires: p4est
    1657:     args: -run_type exact -dm_plex_simplex 0 -dm_plex_convert_type p4est -bc_type dirichlet -petscspace_degree 1 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -dm_forest_initial_refinement 4 -snes_adapt_initial 1 -dm_view
    1658:     filter: grep -v DM_

    1660:   test:
    1661:     suffix: amr_0
    1662:     nsize: 5
    1663:     args: -run_type test -petscpartitioner_type simple -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_refine 1

    1665:   test:
    1666:     suffix: amr_1
    1667:     requires: p4est !complex
    1668:     args: -run_type test -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_plex_convert_type p4est -dm_p4est_refine_pattern center -dm_forest_maximum_refinement 5 -dm_view vtk:amr.vtu:vtk_vtu -vec_view vtk:amr.vtu:vtk_vtu:append

    1670:   test:
    1671:     suffix: p4est_solve_bddc
    1672:     requires: p4est !complex
    1673:     args: -run_type full -variable_coefficient nonlinear -nonzero_initial_guess 1 -petscspace_degree 2 -snes_max_it 20 -snes_type newtonls -dm_mat_type is -pc_type bddc -ksp_type cg -snes_monitor_short -ksp_monitor -snes_linesearch_type bt -snes_converged_reason -snes_view -dm_plex_simplex 0 -petscspace_poly_tensor -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple -pc_bddc_detect_disconnected
    1674:     nsize: 4

    1676:   test:
    1677:     suffix: p4est_solve_fas
    1678:     requires: p4est
    1679:     args: -run_type full -variable_coefficient nonlinear -nonzero_initial_guess 1 -petscspace_degree 2 -snes_max_it 10 -snes_type fas -snes_linesearch_type bt -snes_fas_levels 3 -fas_coarse_snes_type newtonls -fas_coarse_snes_linesearch_type basic -fas_coarse_ksp_type cg -fas_coarse_pc_type jacobi -fas_coarse_snes_monitor_short -fas_levels_snes_max_it 4 -fas_levels_snes_type newtonls -fas_levels_snes_linesearch_type bt -fas_levels_ksp_type cg -fas_levels_pc_type jacobi -fas_levels_snes_monitor_short -fas_levels_cycle_snes_linesearch_type bt -snes_monitor_short -snes_converged_reason -snes_view -dm_plex_simplex 0 -petscspace_poly_tensor -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash
    1680:     nsize: 4
    1681:     TODO: identical machine two runs produce slightly different solver trackers

    1683:   test:
    1684:     suffix: p4est_convergence_test_1
    1685:     requires: p4est
    1686:     args: -quiet -run_type test -petscspace_degree 1 -dm_plex_simplex 0 -petscspace_poly_tensor -dm_plex_convert_type p4est -dm_forest_minimum_refinement 2 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash
    1687:     nsize: 4

    1689:   # Serial tests with GLVis visualization
    1690:   test:
    1691:     suffix: glvis_2d_tet_p1
    1692:     args: -quiet -run_type test -bc_type dirichlet -petscspace_degree 1 -vec_view glvis: -dm_plex_filename ${wPETSC_DIR}/share/petsc/datafiles/meshes/square_periodic.msh -dm_plex_boundary_label marker -dm_plex_gmsh_periodic 0 -dm_coord_space 0
    1693:   test:
    1694:     suffix: glvis_2d_tet_p2
    1695:     args: -quiet -run_type test -bc_type dirichlet -petscspace_degree 2 -vec_view glvis: -dm_plex_filename ${wPETSC_DIR}/share/petsc/datafiles/meshes/square_periodic.msh -dm_plex_boundary_label marker -dm_plex_gmsh_periodic 0 -dm_coord_space 0
    1696:   test:
    1697:     suffix: glvis_2d_hex_p1
    1698:     args: -quiet -run_type test -bc_type dirichlet -petscspace_degree 1 -vec_view glvis: -dm_plex_simplex 0 -dm_refine 1 -dm_coord_space 0
    1699:   test:
    1700:     suffix: glvis_2d_hex_p2
    1701:     args: -quiet -run_type test -bc_type dirichlet -petscspace_degree 2 -vec_view glvis: -dm_plex_simplex 0 -dm_refine 1 -dm_coord_space 0
    1702:   test:
    1703:     suffix: glvis_2d_hex_p2_p4est
    1704:     requires: p4est
    1705:     args: -quiet -run_type test -bc_type dirichlet -petscspace_degree 2 -vec_view glvis: -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 1 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -viewer_glvis_dm_plex_enable_ncmesh
    1706:   test:
    1707:     suffix: glvis_2d_tet_p0
    1708:     args: -run_type exact -guess_vec_view glvis: -nonzero_initial_guess 1 -dm_plex_filename ${wPETSC_DIR}/share/petsc/datafiles/meshes/square_periodic.msh -dm_plex_boundary_label marker -petscspace_degree 0 -dm_coord_space 0 -pc_type jacobi
    1709:   test:
    1710:     suffix: glvis_2d_hex_p0
    1711:     args: -run_type exact -guess_vec_view glvis: -nonzero_initial_guess 1 -dm_plex_box_faces 5,7 -dm_plex_simplex 0 -petscspace_degree 0 -dm_coord_space 0 -pc_type jacobi

    1713:   # PCHPDDM tests
    1714:   testset:
    1715:     nsize: 4
    1716:     requires: hpddm slepc !single defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
    1717:     args: -run_type test -run_test_check_ksp -quiet -petscspace_degree 1 -petscpartitioner_type simple -bc_type none -dm_plex_simplex 0 -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type lu -pc_hpddm_levels_1_eps_nev 2 -pc_hpddm_coarse_p 1 -pc_hpddm_coarse_pc_type svd -ksp_rtol 1.e-10 -pc_hpddm_levels_1_st_pc_factor_shift_type INBLOCKS -ksp_converged_reason
    1718:     test:
    1719:       suffix: quad_singular_hpddm
    1720:       args: -dm_plex_box_faces 6,7
    1721:     test:
    1722:       requires: p4est
    1723:       suffix: p4est_singular_2d_hpddm
    1724:       args: -dm_plex_convert_type p4est -dm_forest_minimum_refinement 1 -dm_forest_initial_refinement 3 -dm_forest_maximum_refinement 3
    1725:     test:
    1726:       requires: p4est
    1727:       suffix: p4est_nc_singular_2d_hpddm
    1728:       args: -dm_plex_convert_type p4est -dm_forest_minimum_refinement 1 -dm_forest_initial_refinement 1 -dm_forest_maximum_refinement 3 -dm_p4est_refine_pattern hash
    1729:   testset:
    1730:     nsize: 4
    1731:     requires: hpddm slepc triangle !single defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
    1732:     args: -run_type full -petscpartitioner_type simple -dm_refine 2 -bc_type dirichlet -petscspace_degree 2 -ksp_type gmres -ksp_gmres_restart 100 -pc_type hpddm -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type lu -pc_hpddm_levels_1_eps_nev 4 -pc_hpddm_coarse_p 2 -pc_hpddm_coarse_pc_type redundant -ksp_rtol 1.e-1
    1733:     test:
    1734:       args: -pc_hpddm_coarse_mat_type baij -options_left no
    1735:       suffix: tri_hpddm_reuse_baij
    1736:     test:
    1737:       requires: !complex
    1738:       suffix: tri_hpddm_reuse
    1739:   testset:
    1740:     nsize: 4
    1741:     requires: hpddm slepc !single defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
    1742:     args: -run_type full -petscpartitioner_type simple -dm_plex_box_faces 7,5 -dm_refine 2 -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 2 -ksp_type gmres -ksp_gmres_restart 100 -pc_type hpddm -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type lu -pc_hpddm_levels_1_eps_nev 4 -pc_hpddm_coarse_p 2 -pc_hpddm_coarse_pc_type redundant -ksp_rtol 1.e-1
    1743:     test:
    1744:       args: -pc_hpddm_coarse_mat_type baij -options_left no
    1745:       suffix: quad_hpddm_reuse_baij
    1746:     test:
    1747:       requires: !complex
    1748:       suffix: quad_hpddm_reuse
    1749:   testset:
    1750:     nsize: 4
    1751:     requires: hpddm slepc !single defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
    1752:     args: -run_type full -petscpartitioner_type simple -dm_plex_box_faces 7,5 -dm_refine 2 -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -pc_type hpddm -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type lu -pc_hpddm_levels_1_eps_threshold 0.1 -pc_hpddm_coarse_p 2 -pc_hpddm_coarse_pc_type redundant -ksp_rtol 1.e-1
    1753:     test:
    1754:       args: -pc_hpddm_coarse_mat_type baij -options_left no
    1755:       suffix: quad_hpddm_reuse_threshold_baij
    1756:     test:
    1757:       requires: !complex
    1758:       suffix: quad_hpddm_reuse_threshold
    1759:   testset:
    1760:     nsize: 4
    1761:     requires: hpddm slepc parmetis !single defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
    1762:     filter: sed -e "s/linear solver iterations=17/linear solver iterations=16/g"
    1763:     args: -run_type full -petscpartitioner_type parmetis -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -pc_type hpddm -snes_monitor_short -snes_converged_reason ::ascii_info_detail -snes_view -show_solution 0 -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type icc -pc_hpddm_levels_1_eps_nev 20 -pc_hpddm_coarse_p 2 -pc_hpddm_coarse_pc_type redundant -ksp_rtol 1.e-10 -dm_plex_filename ${PETSC_DIR}/share/petsc/datafiles/meshes/square_periodic.msh -dm_plex_boundary_label marker -pc_hpddm_levels_1_sub_pc_factor_levels 3 -variable_coefficient ball -dm_plex_gmsh_periodic 0 -fp_trap 0
    1764:     test:
    1765:       args: -pc_hpddm_coarse_mat_type baij -options_left no
    1766:       filter: grep -v "      total: nonzeros=" | grep -v "      rows=" | sed -e "s/total number of linear solver iterations=[1-2][4-7]/total number of linear solver iterations=16/g"
    1767:       suffix: tri_parmetis_hpddm_baij
    1768:     test:
    1769:       filter: grep -v "      total: nonzeros=" | grep -v "      rows=" | sed -e "s/total number of linear solver iterations=[1-2][4-7]/total number of linear solver iterations=16/g"
    1770:       requires: !complex
    1771:       suffix: tri_parmetis_hpddm

    1773:   # 2D serial P1 tests for adaptive MG
    1774:   test:
    1775:     suffix: 2d_p1_adaptmg_0
    1776:     requires: triangle
    1777:     args: -petscpartitioner_type simple -dm_refine_hierarchy 3 -dm_plex_box_faces 4,4 -bc_type dirichlet -petscspace_degree 1 \
    1778:           -variable_coefficient checkerboard_0 -mat_petscspace_degree 0 -div 16 -k 3 \
    1779:           -snes_max_it 1 -ksp_converged_reason \
    1780:           -ksp_rtol 1e-8 -pc_type mg
    1781:   test:
    1782:     suffix: 2d_p1_adaptmg_1
    1783:     TODO: broken
    1784:     requires: triangle bamg
    1785:     args: -petscpartitioner_type simple -dm_refine_hierarchy 3 -dm_plex_box_faces 4,4 -bc_type dirichlet -petscspace_degree 1 \
    1786:           -variable_coefficient checkerboard_0 -mat_petscspace_degree 0 -div 16 -k 3 \
    1787:           -snes_max_it 1 -ksp_converged_reason \
    1788:           -ksp_rtol 1e-8 -pc_type mg -pc_mg_galerkin -pc_mg_adapt_interp_coarse_space eigenvector -pc_mg_adapt_interp_n 1 \
    1789:             -pc_mg_mesp_ksp_type richardson -pc_mg_mesp_ksp_richardson_self_scale -pc_mg_mesp_ksp_max_it 100 -pc_mg_mesp_pc_type none
    1790:   test:
    1791:     suffix: 2d_p1_adaptmg_gdsw
    1792:     requires: triangle
    1793:     nsize: 4
    1794:     args: -petscpartitioner_type simple -dm_refine 3 -dm_plex_box_faces 4,4 -bc_type dirichlet -petscspace_degree 1 \
    1795:           -variable_coefficient checkerboard_0 -mat_petscspace_degree 0 -div 16 -k 3 \
    1796:           -snes_max_it 1 -ksp_converged_reason \
    1797:           -ksp_rtol 1e-8 -pc_type mg -pc_mg_galerkin -pc_mg_adapt_interp_coarse_space gdsw -pc_mg_levels 2 -mg_levels_pc_type asm -dm_mat_type {{aij is}}

    1799:   test:
    1800:     suffix: 2d_p1_adaptmg_agdsw
    1801:     requires: triangle mumps
    1802:     nsize: 4
    1803:     args: -petscpartitioner_type simple -dm_refine 3 -dm_plex_box_faces 4,4 -bc_type dirichlet -petscspace_degree 1 \
    1804:           -variable_coefficient checkerboard_0 -mat_petscspace_degree 0 -div 16 -k 3 \
    1805:           -snes_max_it 1 -ksp_converged_reason \
    1806:           -ksp_rtol 1e-8 -pc_type mg -pc_mg_galerkin -pc_mg_adapt_interp_coarse_space gdsw -pc_mg_levels 2 -mg_levels_pc_type asm -dm_mat_type is -mg_levels_gdsw_tolerance 0.1 -mg_levels_gdsw_pseudo_pc_type qr

    1808:   test:
    1809:     suffix: p4est_2d_asm
    1810:     requires: p4est
    1811:     nsize: 4
    1812:     args: -run_type test -run_test_check_ksp -quiet -petscspace_degree 1 -petscpartitioner_type simple -bc_type none -dm_plex_simplex 0 \
    1813:           -pc_type asm -ksp_converged_reason -dm_plex_convert_type p4est -dm_forest_minimum_refinement 1 -dm_forest_initial_refinement 3 -dm_forest_maximum_refinement 5 \
    1814:           -pc_asm_dm_subdomains -dm_p4est_refine_pattern hash -dm_plex_dd_overlap 1 -sub_pc_type lu

    1816: TEST*/