
SVD of diagonal matrix, n=6

  1 SVD nconv=6 Values (Errors) 6. (removed) 5. (removed) 4. (removed) 3. (removed) 2. (removed) 1. (removed)
  1 SVD converged value (error) #0 6. (removed)
  1 SVD converged value (error) #1 5. (removed)
  1 SVD converged value (error) #2 4. (removed)
  1 SVD converged value (error) #3 3. (removed)
  1 SVD converged value (error) #4 2. (removed)
  1 SVD converged value (error) #5 1. (removed)
SVD Object: svd 1 MPI processes
  type: trlanczos
    50% of basis vectors kept after restart
    using the locking variant
    two-sided reorthogonalization
  transpose mode: explicit
  selected portion of the spectrum: largest
  number of singular values (nsv): 1
  number of column vectors (ncv): 6
  maximum dimension of projected problem (mpd): 6
  maximum number of iterations: 100
  convergence test: relative to the singular value
BV Object: 1 MPI processes
  type: svec
  7 columns of global length 6
  vector orthogonalization method: classical Gram-Schmidt
  orthogonalization refinement: if needed (eta: 0.7071)
  block orthogonalization method: GS
  doing matmult as a single matrix-matrix product
DS Object: 1 MPI processes
  type: svd
 SVD solve converged (6 singular triplets) due to CONVERGED_TOL; iterations 1
Error_svd = [
removed
removed
removed
removed
removed
removed
];
 ---------------------- --------------------
          sigma            relative error
 ---------------------- --------------------
        6.000000           removed
        5.000000           removed
        4.000000           removed
        3.000000           removed
        2.000000           removed
        1.000000           removed
 ---------------------- --------------------
Singular values = 
   6.00000
   5.00000
   4.00000
   3.00000
   2.00000
   1.00000

     6.00000

