\internal return the index of the coeff at (row,col) or just before if it does not exist. * This is an analogue of std::lower_bound. */

\internal \returns b if a<=0, and returns a otherwise. */

\internal */

Performs equivalent check of std::fabs(lhs - rhs) <= margin But without the subtraction to allow for INFINITY in comparison

\brief Returns the unitary matrix Q in the decomposition * * \returns object representing the matrix Q * * \pre Either the con

Returns an AlignedBox that is the union of \a b and \c *this. * \note Merging with an empty box may result in a box bigger than \c *this. * \sa

\returns the max number of threads reserved for Eigen * \sa setNbThreads */

This function checks if the GPU runtime recorded an error for the underlying stream device.

r""" This method calculates the optimal portfolio according to the optimization model selected by the user. Parameters

r""" Calculate the OWA weights to calculate the Conditional Value at Risk (CVaR) of a returns series as shown in :cite:`d-Cajas3`. Parame

r""" Calculate the OWA weights to calculate the Weighted Conditional Value at Risk (WCVaR) of a returns series as shown in :cite:`d-Cajas3`.

Colour, message variants: - white: No tests ran. - red: Failed [both/all] N test cases, failed [both/all] M assertions. - white: Passed [both/all] N

Suppresses all nonzeros which are \b much \b smaller \b than \a reference under the tolerance \a epsilon */

\returns the pseudo-inverse of the matrix of which *this is the complete * orthogonal decomposition. * \warning: Do not compute \c this->pseudoI

dummy resize function

\returns the number of rows. \sa cols() */

\returns the number of columns */

Schur decomposition on an upper Hessenberg matrix

Solve (A - s * I)x = b

C++ Wrapper of the functions above

Set the cpu L1 and L2 cache sizes (in bytes). * These values are use to adjust the size of the blocks * for the algorithms working per blocks. *

Set the tolerance for the convergence of the iterative scaling algorithm */

Removes all non zeros but keep allocated memory * * This function does not free the currently allocated memory. To release as much as memo

\returns the squared norm of the quaternion's coefficients * \sa QuaternionBase::norm(), MatrixBase::squaredNorm() */

FIXME shall we remove it ?

\returns the number of sub diagonals */

\returns the number of super diagonals */