Expand description
supernodal factorization module
a supernodal factorization is one that processes the elements of the $LU$ factors of the input matrix by blocks, rather than by single elements. this is more efficient if the lu factors are somewhat dense
Structs§
- Supernodal
Lu - $LU$ factor structure containing the symbolic and numerical representations
- Symbolic
Supernodal Lu - $LU$ factor structure containing the symbolic structure
Functions§
- factorize_
supernodal_ numeric_ lu - computes the numeric values of the $LU$ factors of the matrix $A$ as well as the row
pivoting permutation, and stores them in
luandrow_perm/row_perm_inv - factorize_
supernodal_ numeric_ lu_ scratch - computes the size and alignment of the workspace required to perform a numeric $LU$ factorization
- factorize_
supernodal_ symbolic_ lu - computes the symbolic structure of the $LU$ factors of the matrix $A$
- factorize_
supernodal_ symbolic_ lu_ scratch - computes the size and alignment of the workspace required to compute the symbolic
$LU$ factorization of a square matrix with size
n.