// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_DETERMINANT_H
#define EIGEN_DETERMINANT_H
namespace Eigen {
namespace internal {
template <
typename Derived>
EIGEN_DEVICE_FUNC
inline const typename Derived::Scalar bruteforce_det3_helper
(
const MatrixBase<Derived>& matrix,
int a,
int b,
int c)
{
return matrix.coeff(
0 ,a)
* (matrix.coeff(
1 ,b) * matrix.coeff(
2 ,c) - matrix.coeff(
1 ,c) * matrix.coeff(
2 ,b));
}
template <
typename Derived,
int DeterminantType = Derived::RowsAtCompileTime
>
struct determinant_impl
{
static inline typename traits<Derived>::Scalar run(
const Derived& m)
{
if (Derived::ColsAtCompileTime==Dynamic && m.rows()==
0 )
return typename traits<Derived>::Scalar(
1 );
return m.partialPivLu().determinant();
}
};
template <
typename Derived>
struct determinant_impl<Derived,
1 >
{
static inline EIGEN_DEVICE_FUNC
typename traits<Derived>::Scalar run(
const Derived& m)
{
return m.coeff(
0 ,
0 );
}
};
template <
typename Derived>
struct determinant_impl<Derived,
2 >
{
static inline EIGEN_DEVICE_FUNC
typename traits<Derived>::Scalar run(
const Derived& m)
{
return m.coeff(
0 ,
0 ) * m.coeff(
1 ,
1 ) - m.coeff(
1 ,
0 ) * m.coeff(
0 ,
1 );
}
};
template <
typename Derived>
struct determinant_impl<Derived,
3 >
{
static inline EIGEN_DEVICE_FUNC
typename traits<Derived>::Scalar run(
const Derived& m)
{
return bruteforce_det3_helper(m,
0 ,
1 ,
2 )
- bruteforce_det3_helper(m,
1 ,
0 ,
2 )
+ bruteforce_det3_helper(m,
2 ,
0 ,
1 );
}
};
template <
typename Derived>
struct determinant_impl<Derived,
4 >
{
typedef typename traits<Derived>::Scalar Scalar;
static EIGEN_DEVICE_FUNC
Scalar run(
const Derived& m)
{
Scalar d2_01 = det2(m,
0 ,
1 );
Scalar d2_02 = det2(m,
0 ,
2 );
Scalar d2_03 = det2(m,
0 ,
3 );
Scalar d2_12 = det2(m,
1 ,
2 );
Scalar d2_13 = det2(m,
1 ,
3 );
Scalar d2_23 = det2(m,
2 ,
3 );
Scalar d3_0 = det3(m,
1 ,d2_23,
2 ,d2_13,
3 ,d2_12);
Scalar d3_1 = det3(m,
0 ,d2_23,
2 ,d2_03,
3 ,d2_02);
Scalar d3_2 = det3(m,
0 ,d2_13,
1 ,d2_03,
3 ,d2_01);
Scalar d3_3 = det3(m,
0 ,d2_12,
1 ,d2_02,
2 ,d2_01);
return internal::pmadd(-m(
0 ,
3 ),d3_0, m(
1 ,
3 )*d3_1) +
internal::pmadd(-m(
2 ,
3 ),d3_2, m(
3 ,
3 )*d3_3);
}
protected :
static EIGEN_DEVICE_FUNC
Scalar det2(
const Derived& m, Index i0, Index i1)
{
return m(i0,
0 ) * m(i1,
1 ) - m(i1,
0 ) * m(i0,
1 );
}
static EIGEN_DEVICE_FUNC
Scalar det3(
const Derived& m, Index i0,
const Scalar& d0, Index i1,
const Scalar& 
;d1, Index i2, const Scalar& d2)
{
return internal::pmadd(m(i0,2 ), d0, internal::pmadd(-m(i1,2 ), d1, m(i2,2 )*d2));
}
};
} // end namespace internal
/** \lu_module
*
* \returns the determinant of this matrix
*/
template <typename Derived>
EIGEN_DEVICE_FUNC
inline typename internal::traits<Derived>::Scalar MatrixBase<Derived>::determinant() const
{
eigen_assert(rows() == cols());
typedef typename internal::nested_eval<Derived,Base::RowsAtCompileTime>::type Nested;
return internal::determinant_impl<typename internal::remove_all<Nested>::type>::run(derived());
}
} // end namespace Eigen
#endif // EIGEN_DETERMINANT_H
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