#include "petscmat.h" PetscErrorCode MatSeqAIJSetPreallocation(Mat B,PetscInt nz,const PetscInt nnz)Collective on MPI_Comm
|B||- The matrix-free|
|nz||- number of nonzeros per row (same for all rows)|
|nnz||- array containing the number of nonzeros in the various rows (possibly different for each row) or PETSC_NULL|
The AIJ format (also called the Yale sparse matrix format or compressed row storage), is fully compatible with standard Fortran 77 storage. That is, the stored row and column indices can begin at either one (as in Fortran) or zero. See the users' manual for details.
Specify the preallocated storage with either nz or nnz (not both). Set nz=PETSC_DEFAULT and nnz=PETSC_NULL for PETSc to control dynamic memory allocation. For large problems you MUST preallocate memory or you will get TERRIBLE performance, see the users' manual chapter on matrices.
You can call MatGetInfo() to get information on how effective the preallocation was; for example the fields mallocs,nz_allocated,nz_used,nz_unneeded; You can also run with the option -info and look for messages with the string malloc in them to see if additional memory allocation was needed.
Developers: Use nz of MAT_SKIP_ALLOCATION to not allocate any space for the matrix entries or columns indices
By default, this format uses inodes (identical nodes) when possible, to improve numerical efficiency of matrix-vector products and solves. We search for consecutive rows with the same nonzero structure, thereby reusing matrix information to achieve increased efficiency.
|-mat_no_inode||- Do not use inodes|
|-mat_inode_limit <limit>||- Sets inode limit (max limit=5)|
|-mat_aij_oneindex||- Internally use indexing starting at 1 rather than 0. Note that when calling MatSetValues(), the user still MUST index entries starting at 0!|
Index of all Mat routines
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Index of all manual pages