Functions for iterating over the metadata

Get jth column, e.g. Vec4f v = m.col(0);

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

\returns true if \a V (full or thin) is asked for in this SVD decomposition */

Private copy method

@brief Return a const pointer to the array of voxel values. @details This method guarantees that the buffer is allocated and loaded. @warning This met

@brief Return the dimensions of the coordinates spanned by this bounding box. @note Since coordinates are inclusive, a bounding box with min = max has

Dot product

@{ Return the leaf node to which the iterator is pointing.

@brief Return the bounding box of this node, i.e., the full index space spanned by the node regardless of its content.

@brief Get the intersection point in world space. @param xyz The position in world space of the intersection.

inline Index row() const { return (ArgType::Flags&RowMajorBit ? Base::outer() : this->index()); } inline Index col() const { return (ArgType::Flags&Ro

\returns the inverse of the matrix of which *this is the LU decomposition. * * \note If this matrix is not invertible, the returned matrix

Return @c true if all of this node's values are inactive.

Return @c true if the iterator at level @a lvl of the tree points to an active value.

loads directly from stream

Destroy the buffer. * @param b a buffer created with luxcore_parserlxs_yy_create_buffer() * */

Allocates the stack if it does not exist. * Guarantees space for at least one push. */

Sets the last row to [0 ... 0 1] */

\returns a view of the lower triangular matrix L */

\returns an expression of the matrix Q as products of sparse Householder reflectors. * The common usage of this function is to apply it to a dense

Perform a component-wise maximum with the other Coord.

@brief Return the maximum time (parameterized along the Ray).

Perform a component-wise minimum with the other Coord.

\returns the number of nonzero coefficients which is in practice the number * of stored coefficients. */

\returns the outer size. * * \note For a vector, this returns just 1. For a matrix (non-vector), this is the major dimension * with