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bullet3/examples/ThirdPartyLibs/Eigen/src/IterativeLinearSolvers/SolveWithGuess.h
erwincoumans ae8e83988b Add preliminary PhysX 4.0 backend for PyBullet
Add inverse dynamics / mass matrix code from DeepMimic, thanks to Xue Bin (Jason) Peng
Add example how to use stable PD control for humanoid with spherical joints (see humanoidMotionCapture.py)
Fix related to TinyRenderer object transforms not updating when using collision filtering
2019-01-22 21:08:37 -08:00

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2014 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// 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_SOLVEWITHGUESS_H
#define EIGEN_SOLVEWITHGUESS_H
namespace Eigen {
template<typename Decomposition, typename RhsType, typename GuessType> class SolveWithGuess;
/** \class SolveWithGuess
* \ingroup IterativeLinearSolvers_Module
*
* \brief Pseudo expression representing a solving operation
*
* \tparam Decomposition the type of the matrix or decomposion object
* \tparam Rhstype the type of the right-hand side
*
* This class represents an expression of A.solve(B)
* and most of the time this is the only way it is used.
*
*/
namespace internal {
template<typename Decomposition, typename RhsType, typename GuessType>
struct traits<SolveWithGuess<Decomposition, RhsType, GuessType> >
: traits<Solve<Decomposition,RhsType> >
{};
}
template<typename Decomposition, typename RhsType, typename GuessType>
class SolveWithGuess : public internal::generic_xpr_base<SolveWithGuess<Decomposition,RhsType,GuessType>, MatrixXpr, typename internal::traits<RhsType>::StorageKind>::type
{
public:
typedef typename internal::traits<SolveWithGuess>::Scalar Scalar;
typedef typename internal::traits<SolveWithGuess>::PlainObject PlainObject;
typedef typename internal::generic_xpr_base<SolveWithGuess<Decomposition,RhsType,GuessType>, MatrixXpr, typename internal::traits<RhsType>::StorageKind>::type Base;
typedef typename internal::ref_selector<SolveWithGuess>::type Nested;
SolveWithGuess(const Decomposition &dec, const RhsType &rhs, const GuessType &guess)
: m_dec(dec), m_rhs(rhs), m_guess(guess)
{}
EIGEN_DEVICE_FUNC Index rows() const { return m_dec.cols(); }
EIGEN_DEVICE_FUNC Index cols() const { return m_rhs.cols(); }
EIGEN_DEVICE_FUNC const Decomposition& dec() const { return m_dec; }
EIGEN_DEVICE_FUNC const RhsType& rhs() const { return m_rhs; }
EIGEN_DEVICE_FUNC const GuessType& guess() const { return m_guess; }
protected:
const Decomposition &m_dec;
const RhsType &m_rhs;
const GuessType &m_guess;
private:
Scalar coeff(Index row, Index col) const;
Scalar coeff(Index i) const;
};
namespace internal {
// Evaluator of SolveWithGuess -> eval into a temporary
template<typename Decomposition, typename RhsType, typename GuessType>
struct evaluator<SolveWithGuess<Decomposition,RhsType, GuessType> >
: public evaluator<typename SolveWithGuess<Decomposition,RhsType,GuessType>::PlainObject>
{
typedef SolveWithGuess<Decomposition,RhsType,GuessType> SolveType;
typedef typename SolveType::PlainObject PlainObject;
typedef evaluator<PlainObject> Base;
evaluator(const SolveType& solve)
: m_result(solve.rows(), solve.cols())
{
::new (static_cast<Base*>(this)) Base(m_result);
m_result = solve.guess();
solve.dec()._solve_with_guess_impl(solve.rhs(), m_result);
}
protected:
PlainObject m_result;
};
// Specialization for "dst = dec.solveWithGuess(rhs)"
// NOTE we need to specialize it for Dense2Dense to avoid ambiguous specialization error and a Sparse2Sparse specialization must exist somewhere
template<typename DstXprType, typename DecType, typename RhsType, typename GuessType, typename Scalar>
struct Assignment<DstXprType, SolveWithGuess<DecType,RhsType,GuessType>, internal::assign_op<Scalar,Scalar>, Dense2Dense>
{
typedef SolveWithGuess<DecType,RhsType,GuessType> SrcXprType;
static void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<Scalar,Scalar> &)
{
Index dstRows = src.rows();
Index dstCols = src.cols();
if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
dst.resize(dstRows, dstCols);
dst = src.guess();
src.dec()._solve_with_guess_impl(src.rhs(), dst/*, src.guess()*/);
}
};
} // end namepsace internal
} // end namespace Eigen
#endif // EIGEN_SOLVEWITHGUESS_H