This is an old version, view current version.
7.3 Sparse matrix arithmetic
7.3.1 Sparse matrix multiplication
The only supported operation is the multiplication of a sparse matrix \(A\) and a dense vector \(b\) to produce a dense vector \(A\,b\). Multiplying a dense row vector \(b\) and a sparse matrix \(A\) can be coded using transposition as \[ b \, A = (A^{\top} \, b^{\top})^{\top}, \] but care must be taken to represent \(A^{\top}\) rather than \(A\) as a sparse matrix.
vector
csr_matrix_times_vector
(int m, int n, vector w, array[] int v, array[] int u, vector b)
Multiply the \(\text{m} \times \text{n}\) matrix represented by values
w, column indices v, and row start indices u by the vector b; see
compressed row storage.
Available since 2.18