Module nalgebra_sparse::ops::serial

Serial sparse matrix arithmetic routines.

All routines are single-threaded.

Some operations have the prealloc suffix. This means that they expect that the sparsity pattern of the output matrix has already been pre-allocated: that is, the pattern of the result of the operation fits entirely in the output pattern. In the future, there will also be some operations which will be able to dynamically adapt the output pattern to fit the result, but these have yet to be implemented.

Structs

OperationError

A description of the error that occurred during an arithmetic operation.

Enums

OperationErrorKind

The different kinds of operation errors that may occur.

Functions

spadd_csc_prealloc	Sparse matrix addition C <- beta * C + alpha * op(A).
spadd_csr_prealloc	Sparse matrix addition C <- beta * C + alpha * op(A).
spadd_pattern	Sparse matrix addition pattern construction, C <- A + B.
spmm_csc_dense	Sparse-dense matrix-matrix multiplication C <- beta * C + alpha * op(A) * op(B).
spmm_csc_pattern	Sparse matrix multiplication pattern construction, C <- A * B.
spmm_csc_prealloc	Sparse-sparse matrix multiplication, C <- beta * C + alpha * op(A) * op(B).
spmm_csr_dense	Sparse-dense matrix-matrix multiplication C <- beta * C + alpha * op(A) * op(B).
spmm_csr_pattern	Sparse matrix multiplication pattern construction, C <- A * B.
spmm_csr_prealloc	Sparse-sparse matrix multiplication, C <- beta * C + alpha * op(A) * op(B).
spsolve_csc_lower_triangular	Solve the lower triangular system op(L) X = B.