:orphan: # MatILUFactorSymbolic Performs symbolic ILU factorization of a matrix obtained with `MatGetFactor()` Uses levels of fill only, not drop tolerance. Use `MatLUFactorNumeric()` to complete the factorization. ## Synopsis ``` #include "petscmat.h" PetscErrorCode MatILUFactorSymbolic(Mat fact, Mat mat, IS row, IS col, const MatFactorInfo *info) ``` Collective ## Input Parameters - ***fact -*** the factorized matrix obtained with `MatGetFactor()` - ***mat -*** the matrix - ***row -*** row permutation - ***col -*** column permutation - ***info -*** structure containing ```none levels - number of levels of fill. expected fill - as ratio of original fill. 1 or 0 - indicating force fill on diagonal (improves robustness for matrices missing diagonal entries) ``` ## Notes See [Matrix Factorization](sec_matfactor) for additional information. Most users should employ the `KSP` interface for linear solvers instead of working directly with matrix algebra routines such as this. See, e.g., `KSPCreate()`. Uses the definition of level of fill as in Y. Saad, 2003 ## Developer Note The Fortran interface is not autogenerated as the interface definition cannot be generated correctly [due to `MatFactorInfo`] ## References - **** -*** Y. Saad, Iterative methods for sparse linear systems Philadelphia: Society for Industrial and Applied Mathematics, 2003 ## See Also [](ch_matrices), `Mat`, [Matrix Factorization](sec_matfactor), `MatGetFactor()`, `MatLUFactorSymbolic()`, `MatLUFactorNumeric()`, `MatCholeskyFactor()` `MatGetOrdering()`, `MatFactorInfo` ## Level developer ## Location src/mat/interface/matrix.c ## Implementations MatILUFactorSymbolic_SeqAIJ in src/mat/impls/aij/seq/aijfact.c
MatILUFactorSymbolic_SeqAIJKokkos in src/mat/impls/aij/seq/kokkos/aijkok.kokkos.cxx
MatILUFactorSymbolic_SeqAIJCUSPARSE in src/mat/impls/aij/seq/seqcusparse/aijcusparse.cu
MatILUFactorSymbolic_SeqAIJHIPSPARSE in src/mat/impls/aij/seq/seqhipsparse/aijhipsparse.hip.c
MatILUFactorSymbolic_SeqBAIJ in src/mat/impls/baij/seq/baijfact2.c
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