* Compute the symbolic and numeric factorization of the input sparse matrix. * The input matrix should be in column-major storage. */

template<typename _Scalar>

deallocate device memory

This parameter offset inside a larger delta vector.

Replace symbolic last/end "keywords" by their true runtime value

Where in the source file was the default action spec defined?

Given an \a index of a node, on exit, \a outVBegin and \a outVEnd range over the indices of the volume children of the node * and \a outOBegin and

\returns the index of the root of the hierarchy */

\returns the image of the matrix, also called its column-space. The columns of the returned matrix * will form a basis of the image (column-spac

\returns true if the matrix is negative (semidefinite) */

\returns true if the matrix is positive (semidefinite) */

\returns the kernel of the matrix, also called its null-space. The columns of the returned matrix * will form a basis of the kernel. *

\returns an expression of the matrix Q as products of sparse Householder reflectors. * The common usage of this function is to apply it to a dense

\returns the size of the storage major dimension, * i.e., the number of columns for a columns major matrix, and the number of rows otherwise */

\returns the outer-stride of the underlying dense matrix * \sa DenseCoeffsBase::outerStride() */

\returns an estimate of the reciprocal condition number of the matrix of * which \c *this is the Cholesky decomposition. */

Gets the number of tests to be printed in the XML report.

\returns the number of transpositions */

\returns the rotation angle in [-pi,pi] */

Gets the number of all tests.

Gets the outcome of the test part.