Synopsis
PC = gf_precond('identity')
PC = gf_precond('cidentity')
PC = gf_precond('diagonal', vec D)
PC = gf_precond('ildlt', spmat m)
PC = gf_precond('ilu', spmat m)
PC = gf_precond('ildltt', spmat m[, int fillin[, scalar threshold]])
PC = gf_precond('ilut', spmat m[, int fillin[, scalar threshold]])
PC = gf_precond('superlu', spmat m)
PC = gf_precond('spmat', spmat m)
Description :
General constructor for precond objects.
The preconditioners may store REAL or COMPLEX values. They accept getfem sparse matrices and Matlab sparse matrices.
Command list :
PC = gf_precond('identity')
Create a REAL identity precondioner.PC = gf_precond('cidentity')
Create a COMPLEX identity precondioner.PC = gf_precond('diagonal', vec D)
Create a diagonal precondioner.PC = gf_precond('ildlt', spmat m)
Create an ILDLT (Cholesky) preconditioner for the (symmetric) sparse matrix <literal>m</literal>. This preconditioner has the same sparsity pattern than <literal>m</literal> (no fill-in).PC = gf_precond('ilu', spmat m)
Create an ILU (Incomplete LU) preconditioner for the sparse matrix <literal>m</literal>. This preconditioner has the same sparsity pattern than <literal>m</literal> (no fill-in).PC = gf_precond('ildltt', spmat m[, int fillin[, scalar threshold]])
Create an ILDLTT (Cholesky with filling) preconditioner for the (symmetric) sparse matrix <literal>m</literal>. The preconditioner may add at most <literal>fillin</literal> additional non-zero entries on each line. The default value for <literal>fillin</literal> is 10, and the default threshold is1e-7.PC = gf_precond('ilut', spmat m[, int fillin[, scalar threshold]])
Create an ILUT (Incomplete LU with filling) preconditioner for the sparse matrix <literal>m</literal>. The preconditioner may add at most <literal>fillin</literal> additional non-zero entries on each line. The default value for <literal>fillin</literal> is 10, and the default threshold is 1e-7.PC = gf_precond('superlu', spmat m)
Uses SuperLU to build an exact factorization of the sparse matrix <literal>m</literal>. This preconditioner is only available if the getfem-interface was built with SuperLU support. Note that LU factorization is likely to eat all your memory for 3D problems.PC = gf_precond('spmat', spmat m)
Preconditionner given explicitely by a sparse matrix.