\returns the vertex of the bounding box at the corner defined by * the corner-id corner. It works only for a 1D, 2D or 3D bounding box. * For

static int8_t count(T x) { std::cout << "popcount 4B\n"; return __builtin_popcountl((uint32_t)x); }

static int8_t count(T x) { std::cout << "popcount 8B\n"; return __builtin_popcountll((uint64_t)x); }

static int8_t count(T x) { std::cout << "popcount 4B\n"; return __builtin_popcountl((uint32_t)x); }

static int8_t count(T x) { std::cout << "popcount 8B\n"; return __builtin_popcountll((uint64_t)x); }

Please Note ***: - If you end up here looking at a compiler error because it's trying to register your custom reporter class be aware that the native

Please Note ***: - If you end up here looking at a compiler error because it's trying to register your custom reporter class be aware that the native

\returns an expression of the coefficient-wise absolute value of \c *this * * Example: \include MatrixBase_cwiseAbs.cpp * Output: \verbinclude M

\returns an expression of the coefficient-wise squared absolute value of \c *this * * Example: \include MatrixBase_cwiseAbs2.cpp * Output: \verb

Returns a pointer to the first coefficient of the matrix or vector. * * \note When addressing this data, make sure to honor the strides re

\returns the determinant of the underlying matrix from the current factorization */

\returns the determinant of the underlying matrix from the current factorization */

\returns the determinant of the permutation matrix, which is either 1 or -1 depending on the parity of the permutation. * * This function

\returns the determinant of the triangular matrix * \sa MatrixBase::determinant() */

\returns the dimension in which the box holds */

\returns the dimension in which the line holds */

\returns the dimension in which the plane holds */

\returns the dimension of the kernel of the matrix of which *this is the QR decomposition. * * \note This method has to determine which pi

\returns the dimension of the kernel of the matrix of which *this is the QR decomposition. * * \note This method has to determine which pi

\returns the dimension of the kernel of the matrix of which *this is the LU decomposition. * * \note This method has to determine which pi

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