\returns the first element \f$ a_0 \f$ in the sequence */

log2 approximation. A slight bit faster than std::log. */

palette must have 4 * palettesize bytes allocated, and given in format RGBARGBARGBARGBA... returns 0 if the palette is opaque, returns 1 if the pale

get the tree of a deflated block with dynamic tree, the tree itself is also Huffman compressed with a known tree*/

get the tree of a deflated block with fixed tree, as specified in the deflate specification*/

Returns how many bits needed to represent given value (max 8 bit)*/

\internal Frees memory allocated with handmade_aligned_malloc */

\internal Frees memory allocated with handmade_aligned_malloc */

\internal * \brief Reallocates aligned memory. * Since we know that our handmade version is based on std::malloc * we can use std::realloc to im

\internal * \brief Reallocates aligned memory. * Since we know that our handmade version is based on std::malloc * we can use std::realloc to im

inflate a block with dynamic of fixed Huffman tree*/

\brief Reports whether previous computation was successful. * * \returns \c Success if computation was successful, * \c Num

\brief Reports whether previous computation was successful. * * \returns \c Success if computation was successful, \c NoConvergence otherw

\returns NumericalIssue if the input contains INF or NaN values or overflow occurred. Returns Success otherwise. */

\brief Reports whether previous computation was successful. * * \returns \c Success if computation was successful, * \c Num

\brief Reports whether previous computation was successful. * * \returns \c Success if computation was successful, \c NoConvergence otherw

\returns NumericalIssue if the input contains INF or NaN values or overflow occurred. Returns Success otherwise. */

\returns the inner size. * * \note For a vector, this is just the size. For a matrix (non-vector), this is the minor dimension * wit

\returns the inner size. * * \note For a vector, this is just the size. For a matrix (non-vector), this is the minor dimension * wit

maxflow for 2D interactive image segmentation. Only binary segmentation is supported. input parameters: I : a numpy array of shape

maxflow for 3D interactive image segmentation. Only binary segmentation is supported. input parameters: I : a numpy array of shape

\returns the inverse of the matrix of which *this is the LU decomposition. * * \warning The matrix being decomposed here is assumed to be

\returns the inverse of the matrix of which *this is the LU decomposition. * * \warning The matrix being decomposed here is assumed to be

\returns \c true if \c *this is approximately equal to \a other, within the precision * determined by \a prec. * * \sa MatrixBase::isAppro

\returns \c true if \c *this is approximately equal to \a other, within the precision * determined by \a prec. * * \sa MatrixBase::isAppro