eigen/Eigen/QR

#ifndef EIGEN_QR_MODULE_H
#define EIGEN_QR_MODULE_H

#include "Core"

namespace Eigen {

#include "Eigen/src/QR/QR.h"
#include "Eigen/src/QR/EigenSolver.h"

} // namespace Eigen

#endif // EIGEN_QR_MODULE_H
Added Triangular expression to extract upper or lower (strictly or not) part of a matrix. Triangular also provide an optimised method for forward and backward substitution. Further optimizations regarding assignments and products might come later. Updated determinant() to take into account triangular matrices. Started the QR module with a QR decompostion algorithm. Help needed to build a QR algorithm (eigen solver) based on it. 2008-04-27 02:26:05 +08:00			`#ifndef EIGEN_QR_MODULE_H`
			`#define EIGEN_QR_MODULE_H`

			`#include "Core"`

			`namespace Eigen {`

			`#include "Eigen/src/QR/QR.h"`
* Draft of a eigenvalues solver (does not support complex and does not re-use the QR decomposition) * Rewrite the cache friendly product to have only one instance per scalar type ! This significantly speeds up compilation time and reduces executable size. The current drawback is that some trivial expressions might be evaluated like conjugate or negate. * Renamed "cache optimal" to "cache friendly" * Added the ability to directly access matrix data of some expressions via: - the stride()/_stride() methods - DirectAccessBit flag (replace ReferencableBit) 2008-05-12 18:23:09 +08:00			`#include "Eigen/src/QR/EigenSolver.h"`
Added Triangular expression to extract upper or lower (strictly or not) part of a matrix. Triangular also provide an optimised method for forward and backward substitution. Further optimizations regarding assignments and products might come later. Updated determinant() to take into account triangular matrices. Started the QR module with a QR decompostion algorithm. Help needed to build a QR algorithm (eigen solver) based on it. 2008-04-27 02:26:05 +08:00
			`} // namespace Eigen`

			`#endif // EIGEN_QR_MODULE_H`