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Avoid memory manipulation for simplicity, efficiency, and safety.

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This commit is contained in:
Chen-Pang He 2012-09-29 17:41:51 +08:00
parent 5814a5f1a0
commit 50c07e50e8
1 changed files with 58 additions and 32 deletions
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90
unsupported/Eigen/src/MatrixFunctions/MatrixPower.h
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@ -12,6 +12,8 @@
namespace Eigen {
template<typename MatrixType> class MatrixPowerEvaluator;
/**
* \ingroup MatrixFunctions_Module
*
@ -41,17 +43,19 @@ class MatrixPower : public MatrixPowerBase<MatrixPower<MatrixType>,MatrixType>
* \brief Constructor.
*
* \param[in] A the base of the matrix power.
*
* \warning Construct with a matrix, not a matrix expression!
*/
template<typename MatrixExpression>
explicit MatrixPower(const MatrixExpression& A);
explicit MatrixPower(const MatrixType& A) : Base(A,0)
{ }
/**
* \brief Return the expression \f$ A^p \f$.
*
* \param[in] p exponent, a real scalar.
*/
const MatrixPowerReturnValue<MatrixType> operator()(RealScalar p)
{ return MatrixPowerReturnValue<MatrixType>(*this, p); }
const MatrixPowerEvaluator<MatrixType> operator()(RealScalar p)
{ return MatrixPowerEvaluator<MatrixType>(*this, p); }
/**
* \brief Compute the matrix power.
@ -95,12 +99,6 @@ class MatrixPower : public MatrixPowerBase<MatrixPower<MatrixType>,MatrixType>
void computeFracPower(ResultType&, RealScalar);
};
template<typename MatrixType>
template<typename MatrixExpression>
MatrixPower<MatrixType>::MatrixPower(const MatrixExpression& A) :
Base(A, 0)
{ }
template<typename MatrixType>
void MatrixPower<MatrixType>::compute(MatrixType& res, RealScalar p)
{
@ -237,9 +235,10 @@ template<typename ResultType>
void MatrixPower<MatrixType>::computeFracPower(ResultType& res, RealScalar p)
{
if (p) {
eigen_assert(m_conditionNumber);
MatrixPowerTriangularAtomic<ComplexMatrix>(m_T).compute(m_fT, p);
internal::recompose_complex_schur<NumTraits<Scalar>::IsComplex>::run(m_tmp2, m_fT, m_U);
res = m_tmp2 * res;
internal::recompose_complex_schur<NumTraits<Scalar>::IsComplex>::run(m_tmp1, m_fT, m_U);
res = m_tmp1 * res;
}
}
@ -249,14 +248,17 @@ class MatrixPowerMatrixProduct : public MatrixPowerProductBase<MatrixPowerMatrix
public:
EIGEN_MATRIX_POWER_PRODUCT_PUBLIC_INTERFACE(MatrixPowerMatrixProduct)
MatrixPowerMatrixProduct(MatrixPower<Lhs>& pow, const Rhs& b, RealScalar p)
: m_pow(pow), m_b(b), m_p(p) { }
MatrixPowerMatrixProduct(MatrixPower<Lhs>& pow, const Rhs& b, RealScalar p) :
m_pow(pow),
m_b(b),
m_p(p)
{ }
template<typename ResultType>
inline void evalTo(ResultType& res) const
{ m_pow.compute(m_b, res, m_p); }
Index rows() const { return m_b.rows(); }
Index rows() const { return m_pow.rows(); }
Index cols() const { return m_b.cols(); }
private:
@ -293,14 +295,8 @@ class MatrixPowerReturnValue : public ReturnByValue<MatrixPowerReturnValue<Deriv
* \param[in] A %Matrix (expression), the base of the matrix power.
* \param[in] p scalar, the exponent of the matrix power.
*/
MatrixPowerReturnValue(const Derived& A, RealScalar p)
: m_pow(*new MatrixPower<PlainObject>(A)), m_p(p), m_del(true) { }
MatrixPowerReturnValue(MatrixPower<PlainObject>& pow, RealScalar p)
: m_pow(pow), m_p(p), m_del(false) { }
~MatrixPowerReturnValue()
{ if (m_del) delete &m_pow; }
MatrixPowerReturnValue(const Derived& A, RealScalar p) : m_A(A), m_p(p)
{ }
/**
* \brief Compute the matrix power.
@ -310,7 +306,7 @@ class MatrixPowerReturnValue : public ReturnByValue<MatrixPowerReturnValue<Deriv
*/
template<typename ResultType>
inline void evalTo(ResultType& res) const
{ m_pow.compute(res, m_p); }
{ MatrixPower<PlainObject>(m_A.eval()).compute(res, m_p); }
/**
* \brief Return the expression \f$ A^p b \f$.
@ -321,16 +317,45 @@ class MatrixPowerReturnValue : public ReturnByValue<MatrixPowerReturnValue<Deriv
*/
template<typename OtherDerived>
const MatrixPowerMatrixProduct<PlainObject,OtherDerived> operator*(const MatrixBase<OtherDerived>& b) const
{ return MatrixPowerMatrixProduct<PlainObject,OtherDerived>(m_pow, b.derived(), m_p); }
{
MatrixPower<PlainObject> Apow(m_A.eval());
return MatrixPowerMatrixProduct<PlainObject,OtherDerived>(Apow, b.derived(), m_p);
}
Index rows() const { return m_A.rows(); }
Index cols() const { return m_A.cols(); }
private:
const Derived& m_A;
const RealScalar m_p;
MatrixPowerReturnValue& operator=(const MatrixPowerReturnValue&);
};
template<typename MatrixType>
class MatrixPowerEvaluator : public ReturnByValue<MatrixPowerEvaluator<MatrixType> >
{
public:
typedef typename MatrixType::RealScalar RealScalar;
typedef typename MatrixType::Index Index;
MatrixPowerEvaluator(MatrixPower<MatrixType>& pow, RealScalar p) : m_pow(pow), m_p(p)
{ }
template<typename ResultType>
inline void evalTo(ResultType& res) const
{ m_pow.compute(res, m_p); }
template<typename Derived>
const MatrixPowerMatrixProduct<MatrixType,Derived> operator*(const MatrixBase<Derived>& b) const
{ return MatrixPowerMatrixProduct<MatrixType,Derived>(m_pow, b.derived(), m_p); }
Index rows() const { return m_pow.rows(); }
Index cols() const { return m_pow.cols(); }
private:
MatrixPower<PlainObject>& m_pow;
MatrixPower<MatrixType>& m_pow;
const RealScalar m_p;
const bool m_del; // whether to delete the pointer at destruction
MatrixPowerReturnValue& operator=(const MatrixPowerReturnValue&);
MatrixPowerEvaluator& operator=(const MatrixPowerEvaluator&);
};
namespace internal {
@ -342,6 +367,10 @@ template<typename Derived>
struct traits<MatrixPowerReturnValue<Derived> >
{ typedef typename Derived::PlainObject ReturnType; };
template<typename MatrixType>
struct traits<MatrixPowerEvaluator<MatrixType> >
{ typedef MatrixType ReturnType; };
template<typename Lhs, typename Rhs>
struct traits<MatrixPowerMatrixProduct<Lhs,Rhs> >
: traits<MatrixPowerProductBase<MatrixPowerMatrixProduct<Lhs,Rhs>,Lhs,Rhs> >
@ -350,10 +379,7 @@ struct traits<MatrixPowerMatrixProduct<Lhs,Rhs> >
template<typename Derived>
const MatrixPowerReturnValue<Derived> MatrixBase<Derived>::pow(RealScalar p) const
{
eigen_assert(rows() == cols());
return MatrixPowerReturnValue<Derived>(derived(), p);
}
{ return MatrixPowerReturnValue<Derived>(derived(), p); }
} // namespace Eigen