\returns the inverse of the matrix of which *this is the LU decomposition. * * \note If this matrix is not invertible, the returned matrix

\returns the currently set level 1 cpu cache size (in bytes) used to estimate the ideal blocking size parameters. * \sa setCpuCacheSize */

Sets the last row to [0 ... 0 1] */

r""" Calculate the optimal number of bins for discretization of mutual information and variation of information. Parameters ---------

Number of theads available in the underlying thread pool. This number can be different from the value returned by numThreads().

\brief Computes the inverse square root of the matrix. * * \returns the inverse positive-definite square root of the matrix * * \pre The e

\returns the projection of a point \a p onto the line \c *this. */

\internal * Queries and returns the cache sizes in Bytes of the L1, L2, and L3 data caches respectively */

Fill the given vector with random numbers Ranging from -0.5 to 0.5

*/

Return the number of rows of the underlying matrix.

Return the number of rows of the underlying matrix.

* Get the number of rows of the input matrix and the Q matrix */

Sets the maximum number of function evaluation */