\sa MatrixBase::conjugate() */

TODO: Make sure case where no confidences are inputted works.

action name

\returns the current precision. * * \sa setPrecision() */

\returns the \c y coefficient */

\returns a const expression of the diagonal coefficients */

\returns true if the matrix of which *this is the LU decomposition represents an injective * linear map, i.e. has trivial kernel; false

\returns true if the matrix of which *this is the LU decomposition represents a surjective * linear map; false otherwise. *

\returns the \c z coefficient */

Translates the C functions that are (int, char**, n char*, and optional extra types in *args) to a more pythonic version that wraps the c

\returns the distance of a point \a p to its projection onto the line \c *this. * \sa squaredDistance() */

Resize the matrix without preserving the data (the matrix is set to zero) */

\returns the size of a side of the respective square matrix, i.e., the number of indices */

* @return the entropy of the current range (in units of random digits). * * Max() + 1 - Min() = 2^{Entropy() * \e bits}. ******