sparse_permute_cols_float(_:_:)

Declaration

func sparse_permute_cols_float(_ A: sparse_matrix_float!, _ perm: UnsafePointer<sparse_index>!) -> sparse_status

Parameters

• A:

  The sparse matrix, A.

• perm:

  The permutation array. Holds number of columns in A values indicating the permutation of the matrix. The indices in perm are expected to be 0 based (first element of pointer is ptr[0]). The indices in perm are expected to be within bounds of the matrix. Undefined behavior if not met.

Return Value

On successful return, A has been permuted and SPARSE_SUCCESS is returned.

Discussion

Permute the columns of the sparse matrix A based on the provided permutation array. For each column in A, swap columns as:

 tmp[:] = A[:,j];
 A[:,j] = A[:,perm[j]];
 A[:,perm[j]] = tmp[:];

See Also

Matrix-Vector Operations

• sparse_matrix_vector_product_dense_double(_:_:_:_:_:_:_:)
• sparse_matrix_vector_product_dense_float(_:_:_:_:_:_:_:)
• sparse_vector_triangular_solve_dense_double(_:_:_:_:_:)
• sparse_vector_triangular_solve_dense_float(_:_:_:_:_:)
• sparse_outer_product_dense_double(_:_:_:_:_:_:_:_:_:)
• sparse_outer_product_dense_float(_:_:_:_:_:_:_:_:_:)
• sparse_permute_rows_double(_:_:)
• sparse_permute_rows_float(_:_:)
• sparse_permute_cols_double(_:_:)
• sparse_elementwise_norm_double(_:_:)
• sparse_elementwise_norm_float(_:_:)
• sparse_operator_norm_double(_:_:)
• sparse_operator_norm_float(_:_:)
• sparse_matrix_trace_double(_:_:)
• sparse_matrix_trace_float(_:_:)