:orphan: # MatLUFactor Performs in-place LU factorization of matrix. ## Synopsis ``` #include "petscmat.h" PetscErrorCode MatLUFactor(Mat mat, IS row, IS col, const MatFactorInfo *info) ``` Collective ## Input Parameters - ***mat -*** the matrix - ***row -*** row permutation - ***col -*** column permutation - ***info -*** options for factorization, includes ```none fill - expected fill as ratio of original fill. dtcol - pivot tolerance (0 no pivot, 1 full column pivoting) Run with the option -info to determine an optimal value to use ``` ## Notes 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()`. This changes the state of the matrix to a factored matrix; it cannot be used for example with `MatSetValues()` unless one first calls `MatSetUnfactored()`. This is really in-place only for dense matrices, the preferred approach is to use `MatGetFactor()`, `MatLUFactorSymbolic()`, and `MatLUFactorNumeric()` when not using `KSP`. ## Developer Note The Fortran interface is not autogenerated as the interface definition cannot be generated correctly [due to `MatFactorInfo`] ## See Also [](ch_matrices), [Matrix Factorization](sec_matfactor), `Mat`, `MatFactorType`, `MatLUFactorSymbolic()`, `MatLUFactorNumeric()`, `MatCholeskyFactor()`, `MatGetOrdering()`, `MatSetUnfactored()`, `MatFactorInfo`, `MatGetFactor()` ## Level developer ## Location src/mat/interface/matrix.c ## Examples src/ksp/ksp/tutorials/ex74.c
## Implementations MatLUFactor_SeqAIJ in src/mat/impls/aij/seq/aijfact.c
MatLUFactor_SeqBAIJ in src/mat/impls/baij/seq/baijfact.c
MatLUFactor_SeqDense in src/mat/impls/dense/seq/dense.c
MatLUFactor_Elemental in src/mat/impls/elemental/matelem.cxx
MatLUFactor_ScaLAPACK in src/mat/impls/scalapack/matscalapack.c
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