\internal */

Apply V -> VQ and compute the new f. Should be called after compress_H(), since m_k is updated there. Only need to update the first k+1 columns of V T

Conducts the major computation procedure. \param selection An enumeration value indicating the selection rule of the requested eigenvalues, for exam

\brief Complex conjugate of the Householder sequence. */

TODO(rmlarsen): Define max in terms of total cost, not elementwise.

TODO(rmlarsen): Define min in terms of total cost, not elementwise.

D^2 regression score function, fraction of Tweedie deviance explained. Best possible score is 1.0 and it can be negative (because the model can be

\returns The determinant of the matrix. * * \sa absDeterminant(), logAbsDeterminant() */

\returns the distance between the boxes \a b and \c *this, * and zero if the boxes intersect. * \sa squaredExteriorDistance(const AlignedBox&)

Does nothing: provided for compatibility with SparseMatrix */

r""" Fit and transform the sample matrix. Returns transformed data in expected dimension. Parameters ----------

--- TO BE IMPLEMENTED IN CHILD CLASS --- */

\internal Like malloc, but the returned pointer is guaranteed to be 16-byte aligned. * Fast, but wastes 16 additional bytes of memory. Does not thro

\returns the column or row index of the current coefficient.

* \brief Reports whether the minimization was successful * \returns \c Success if the minimization was succesful, * \c NumericalIssu

Returns the status of the computation. The full list of enumeration values can be found in \ref Enumerations.

Must be call first when calling Eigen from multiple threads */

Indicate that the pattern of the input matrix is symmetric */

The following is for Gibbs sampling

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

\returns the currently set level 3 cpu cache size (in bytes) used to estimate the ideal blocking size paramete\ rs.

\brief Get suitable degree for Pade approximation. (specialized for RealScalar = float) */

\returns the absolute value of the biggest pivot, i.e. the biggest * diagonal coefficient of U. */

maxval is 'safe' meaning 1 / maxval does not underflow

mul_2si

mul_2ui

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