Crate sparsetools

Modules

• coo
• csc
• csr
• dok
• graph

Traits

• Complex
• Float
• Integer
• Nonzero
• Scalar

Functions

• coo_matvec
  Compute Y += A*X for COO matrix A and dense vectors X,Y
• coo_tocsr
  Compute B = A for COO matrix A, CSR matrix B
• coo_todense
  Compute B += A for COO matrix A, dense matrix B
• csc_diagonal
• csc_matmat
• csc_matmat_maxnnz
• csc_matvec
  Compute Y += A*X for CSC matrix A and dense vectors X,Y
• csc_matvecs
  Compute Y += A*X for CSC matrix A and dense block vectors X,Y
• csc_tocsr
• csr_add_csr
• csr_binop_csr
  Compute C = A (binary_op) B for CSR matrices A,B where the column indices with the rows of A and B are known to be sorted.
• csr_binop_csr_canonical
  Compute C = A (binary_op) B for CSR matrices that are in the canonical CSR format. Specifically, this method requires that the rows of the input matrices are free of duplicate column indices and that the column indices are in sorted order.
• csr_binop_csr_general
  Compute C = A (binary_op) B for CSR matrices that are not necessarily canonical CSR format. Specifically, this method works even when the input matrices have duplicate and/or unsorted column indices within a given row.
• csr_column_index1
  Slice columns given as an array of indices (pass 1). This pass counts idx entries and computes a new indptr.
• csr_column_index2
  Slice columns given as an array of indices (pass 2). This pass populates indices/data entries for selected columns.
• csr_count_diagonals
  Count the number of occupied diagonals in CSR matrix A
• csr_diagonal
  Extract k-th diagonal of CSR matrix A
• csr_div_csr
• csr_eliminate_zeros
  Eliminate zero entries from CSR matrix A
• csr_eq_csr
• csr_ge_csr
• csr_gt_csr
• csr_has_canonical_format
  Determine whether the matrix structure is canonical CSR. Canonical CSR implies that column indices within each row are (1) sorted and (2) unique. Matrices that meet these conditions facilitate faster matrix computations.
• csr_has_sorted_indices
  Determine whether the CSR column indices are in sorted order.
• csr_le_csr
• csr_lt_csr
• csr_matmat
  Compute CSR entries for matrix C = A*B.
• csr_matmat_maxnnz
  Compute C = A*B for CSR matrices A,B
• csr_matvec
  Compute Y += A*X for CSR matrix A and dense vectors X,Y
• csr_matvecs
  Compute Y += A*X for CSR matrix A and dense block vectors X,Y
• csr_max_csr
• csr_min_csr
• csr_mul_csr
• csr_ne_csr
• csr_row_index
  Slice rows given as an array of indices.
• csr_row_slice
  Slice rows given as a (start, stop, step) tuple.
• csr_scale_columns
  Scale the columns of a CSR matrix in place
• csr_scale_rows
  Scale the rows of a CSR matrix in place
• csr_select
• csr_sort_indices
  Sort CSR column indices inplace
• csr_sub_csr
• csr_sum_duplicates
  Sum together duplicate column entries in each row of CSR matrix A
• csr_tocoo
• csr_tocsc
  Compute B = A for CSR matrix A, CSC matrix B
• csr_todense
  Compute B += A for CSR matrix A, C-contiguous dense matrix B
• expandptr
  Expand a compressed row pointer into a row array
• get_csr_submatrix

Type Aliases

• Binop