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Next: <a href="Sparse-BLAS-References-and-Further-Reading.html#Sparse-BLAS-References-and-Further-Reading" accesskey="n" rel="next">Sparse BLAS References and Further Reading</a>, Up: <a href="Sparse-BLAS-Support.html#Sparse-BLAS-Support" accesskey="u" rel="up">Sparse BLAS Support</a> &nbsp; [<a href="Function-Index.html#Function-Index" title="Index" rel="index">Index</a>]</p>
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<a name="Sparse-BLAS-operations-1"></a>
<h3 class="section">42.1 Sparse BLAS operations</h3>
<a name="index-sparse-matrices_002c-BLAS-operations"></a>

<dl>
<dt><a name="index-gsl_005fspblas_005fdgemv"></a>Function: <em>int</em> <strong>gsl_spblas_dgemv</strong> <em>(const CBLAS_TRANSPOSE_t TransA, const double <var>alpha</var>, const gsl_spmatrix * <var>A</var>, const gsl_vector * <var>x</var>, const double <var>beta</var>, gsl_vector * <var>y</var>)</em></dt>
<dd><p>This function computes the matrix-vector product and sum
<em>y \leftarrow \alpha op(A) x + \beta y</em>, where
<em>op(A) = A</em>, <em>A^T</em> for <var>TransA</var> = <code>CblasNoTrans</code>,
<code>CblasTrans</code>. In-place computations are not supported, so
<var>x</var> and <var>y</var> must be distinct vectors.
The matrix <var>A</var> may be in triplet or compressed format.
</p></dd></dl>

<dl>
<dt><a name="index-gsl_005fspblas_005fdgemm"></a>Function: <em>int</em> <strong>gsl_spblas_dgemm</strong> <em>(const double <var>alpha</var>, const gsl_spmatrix * <var>A</var>, const gsl_spmatrix * <var>B</var>, gsl_spmatrix * <var>C</var>)</em></dt>
<dd><p>This function computes the sparse matrix-matrix product
<em>C = \alpha A B</em>. The matrices must be in compressed format.
</p></dd></dl>




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