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Add cholesky's members to MatrixBase

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Various documentation improvements including new snippets (AngleAxis and Cholesky)
This commit is contained in:
Gael Guennebaud
2008-07-19 22:59:05 +00:00
parent 6e2c53e056
commit 269f683902
11 changed files with 58 additions and 7 deletions
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17
Eigen/src/Cholesky/Cholesky.h
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@@ -66,7 +66,7 @@ template<typename MatrixType> class Cholesky
bool isPositiveDefinite(void) const { return m_isPositiveDefinite; }
template<typename Derived>
typename Derived::Eval solve(MatrixBase<Derived> &b);
typename Derived::Eval solve(const MatrixBase<Derived> &b) const;
void compute(const MatrixType& matrix);
@@ -110,10 +110,14 @@ void Cholesky<MatrixType>::compute(const MatrixType& a)
/** \returns the solution of A x = \a b using the current decomposition of A.
* In other words, it returns \code A^-1 b \endcode computing
* \code L^-* L^1 b \endcode from right to left.
*
* Example: \include Cholesky_solve.cpp
* Output: \verbinclude Cholesky_solve.out
*
*/
template<typename MatrixType>
template<typename Derived>
typename Derived::Eval Cholesky<MatrixType>::solve(MatrixBase<Derived> &b)
typename Derived::Eval Cholesky<MatrixType>::solve(const MatrixBase<Derived> &b) const
{
const int size = m_matrix.rows();
ei_assert(size==b.size());
@@ -121,5 +125,14 @@ typename Derived::Eval Cholesky<MatrixType>::solve(MatrixBase<Derived> &b)
return m_matrix.adjoint().template extract<Upper>().inverseProduct(matrixL().inverseProduct(b));
}
/** \cholesky_module
* \returns the Cholesky decomposition of \c *this
*/
template<typename Derived>
inline const Cholesky<typename ei_eval<Derived>::type>
MatrixBase<Derived>::cholesky() const
{
return Cholesky<typename ei_eval<Derived>::type>(derived());
}
#endif // EIGEN_CHOLESKY_H

13
Eigen/src/Cholesky/CholeskyWithoutSquareRoot.h
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@@ -77,7 +77,7 @@ template<typename MatrixType> class CholeskyWithoutSquareRoot
}
template<typename Derived>
typename Derived::Eval solve(MatrixBase<Derived> &b);
typename Derived::Eval solve(const MatrixBase<Derived> &b) const;
void compute(const MatrixType& matrix);
@@ -127,7 +127,7 @@ void CholeskyWithoutSquareRoot<MatrixType>::compute(const MatrixType& a)
*/
template<typename MatrixType>
template<typename Derived>
typename Derived::Eval CholeskyWithoutSquareRoot<MatrixType>::solve(MatrixBase<Derived> &vecB)
typename Derived::Eval CholeskyWithoutSquareRoot<MatrixType>::solve(const MatrixBase<Derived> &vecB) const
{
const int size = m_matrix.rows();
ei_assert(size==vecB.size());
@@ -140,5 +140,14 @@ typename Derived::Eval CholeskyWithoutSquareRoot<MatrixType>::solve(MatrixBase<D
);
}
/** \cholesky_module
* \returns the Cholesky decomposition without square root of \c *this
*/
template<typename Derived>
inline const CholeskyWithoutSquareRoot<typename ei_eval<Derived>::type>
MatrixBase<Derived>::choleskyNoSqrt() const
{
return derived();
}
#endif // EIGEN_CHOLESKY_WITHOUT_SQUARE_ROOT_H