Use -pc_type lu -pc_factor_mat_solver_package superlu to us this direct solver
| -mat_superlu_equil <FALSE> | - Equil (None) | |
| -mat_superlu_colperm <COLAMD> | - (choose one of) NATURAL MMD_ATA MMD_AT_PLUS_A COLAMD | |
| -mat_superlu_iterrefine <NOREFINE> | - (choose one of) NOREFINE SINGLE DOUBLE EXTRA | |
| -mat_superlu_symmetricmode: <FALSE> | - SymmetricMode (None) | |
| -mat_superlu_diagpivotthresh <1> | - DiagPivotThresh (None) | |
| -mat_superlu_pivotgrowth <FALSE> | - PivotGrowth (None) | |
| -mat_superlu_conditionnumber <FALSE> | - ConditionNumber (None) | |
| -mat_superlu_rowperm <NOROWPERM> | - (choose one of) NOROWPERM LargeDiag | |
| -mat_superlu_replacetinypivot <FALSE> | - ReplaceTinyPivot (None) | |
| -mat_superlu_printstat <FALSE> | - PrintStat (None) | |
| -mat_superlu_lwork <0> | - size of work array in bytes used by factorization (None) | |
| -mat_superlu_ilu_droptol <0> | - ILU_DropTol (None) | |
| -mat_superlu_ilu_filltol <0> | - ILU_FillTol (None) | |
| -mat_superlu_ilu_fillfactor <0> | - ILU_FillFactor (None) | |
| -mat_superlu_ilu_droprull <0> | - ILU_DropRule (None) | |
| -mat_superlu_ilu_norm <0> | - ILU_Norm (None) | |
| -mat_superlu_ilu_milu <0> | - ILU_MILU (None) |
Notes: Do not confuse this with MATSOLVERSUPERLU_DIST which is for parallel sparse solves
Level:beginner
Location:src/mat/impls/aij/seq/superlu/superlu.c
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