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Initial work in progress on block AD class.
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AutoDiffBlock.hpp
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AutoDiffBlock.hpp
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/*
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Copyright 2013 SINTEF ICT, Applied Mathematics.
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This file is part of the Open Porous Media project (OPM).
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OPM is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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OPM is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with OPM. If not, see <http://www.gnu.org/licenses/>.
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*/
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#ifndef OPM_AUTODIFFBLOCK_HEADER_INCLUDED
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#define OPM_AUTODIFFBLOCK_HEADER_INCLUDED
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#include "AutoDiff.hpp"
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#include <Eigen/Eigen>
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#include <Eigen/Sparse>
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#include <vector>
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#include <cassert>
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namespace AutoDiff
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{
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template <typename Scalar>
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class ForwardBlock
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{
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public:
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/// Underlying types for scalar vectors and jacobians.
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typedef Eigen::Array<Scalar, Eigen::Dynamic, 1> V;
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typedef Eigen::SparseMatrix<Scalar> M;
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/// Named constructor pattern used here.
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static ForwardBlock constant(const int index, const V& val, const std::vector<int>& blocksizes)
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{
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std::vector<M> jac;
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const int num_elem = val.size();
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const int num_blocks = blocksizes.size();
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// For constants, all jacobian blocks are zero.
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jac.resize(num_blocks);
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for (int i = 0; i < num_blocks; ++i) {
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jac[i] = M(num_elem, blocksizes[i]);
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}
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return ForwardBlock(index, val, jac);
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}
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static ForwardBlock variable(const int index, const V& val, const std::vector<int>& blocksizes)
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{
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std::vector<M> jac;
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const int num_elem = val.size();
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const int num_blocks = blocksizes.size();
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// First, set all jacobian blocks to zero...
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jac.resize(num_blocks);
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for (int i = 0; i < num_blocks; ++i) {
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jac[i] = M(num_elem, blocksizes[i]);
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}
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// ... then set the one corrresponding to this variable to identity.
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jac[index].reserve(Eigen::VectorXi::Constant(val.size(), 1));
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for (typename M::Index row = 0; row < val.size(); ++row) {
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jac[index].insert(row, row) = Scalar(1.0);
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}
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return ForwardBlock(index, val, jac);
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}
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static ForwardBlock function(const int index, const V& val, const std::vector<M>& jac)
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{
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return ForwardBlock(index, val, jac);
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}
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#if 0
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/// Operators.
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ForwardBlock operator+(const ForwardBlock& rhs)
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{
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return function(val_ + rhs.val_, jac_ + rhs.jac_);
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}
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/// Operators.
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ForwardBlock operator-(const ForwardBlock& rhs)
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{
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return function(val_ - rhs.val_, jac_ - rhs.jac_);
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}
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/// Operators.
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ForwardBlock operator*(const ForwardBlock& rhs)
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{
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typedef Eigen::DiagonalMatrix<Scalar, Eigen::Dynamic> D;
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D D1 = val_.matrix().asDiagonal();
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D D2 = rhs.val_.matrix().asDiagonal();
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return function(val_ * rhs.val_, D2*jac_ + D1*rhs.jac_);
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}
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/// Operators.
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ForwardBlock operator/(const ForwardBlock& rhs)
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{
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typedef Eigen::DiagonalMatrix<Scalar, Eigen::Dynamic> D;
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D D1 = val_.matrix().asDiagonal();
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D D2 = rhs.val_.matrix().asDiagonal();
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D D3 = std::pow(rhs.val_, -2).matrix().asDiagonal();
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return function(val_ / rhs.val_, D3 * (D2*jac_ - D1*rhs.jac_));
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}
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#endif
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/// I/O.
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template <class Ostream>
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Ostream&
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print(Ostream& os) const
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{
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int num_blocks = jac_.size();
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os << "Variable index " << index_ << ":\nValue =\n" << val_ << "\n\nJacobian =\n";
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for (int i = 0; i < num_blocks; ++i) {
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os << "Sub Jacobian #" << i << '\n' << jac_[i] << "\n";
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}
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return os;
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}
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private:
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ForwardBlock(const int index,
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const V& val,
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const std::vector<M>& jac)
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: index_(index), val_(val), jac_(jac)
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{
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const int num_elem = val_.size();
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const int num_blocks = jac_.size();
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assert(index_ < num_blocks);
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assert(num_elem == jac_[index].cols());
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for (int block = 0; block < num_blocks; ++block) {
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assert(num_elem == jac_[block].rows());
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}
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}
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int index_;
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V val_;
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std::vector<M> jac_;
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};
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template <class Ostream, typename Scalar>
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Ostream&
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operator<<(Ostream& os, const ForwardBlock<Scalar>& fw)
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{
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return fw.print(os);
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}
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} // namespace Autodiff
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#endif // OPM_AUTODIFFBLOCK_HEADER_INCLUDED
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test_block.cpp
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test_block.cpp
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/*
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Copyright 2013 SINTEF ICT, Applied Mathematics.
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This file is part of the Open Porous Media project (OPM).
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OPM is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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OPM is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with OPM. If not, see <http://www.gnu.org/licenses/>.
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*/
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#include "AutoDiffBlock.hpp"
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#include <iostream>
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int main()
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{
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typedef AutoDiff::ForwardBlock<double> ADV;
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std::vector<int> blocksizes = { 3, 1, 2 };
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int num_blocks = blocksizes.size();
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ADV::V v1(3);
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v1 << 0.2, 1.2, 13.4;
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ADV::V v2(3);
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v2 << 1.0, 2.2, 3.4;
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enum { FirstVar = 0, SecondVar = 1, ThirdVar = 2 };
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ADV a = ADV::constant(FirstVar, v1, blocksizes);
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ADV x = ADV::variable(FirstVar, v2, blocksizes);
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std::vector<ADV::M> jacs(num_blocks);
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for (int i = 0; i < num_blocks; ++i) {
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jacs[i] = ADV::M(blocksizes[FirstVar], blocksizes[i]);
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jacs[i].insert(0,0) = -1.0;
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}
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ADV f = ADV::function(FirstVar, v2, jacs);
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std::cout << a << x << f;
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/*
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ADV xpx = x + x;
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std::cout << xpx;
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ADV xpxpa = x + x + a;
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std::cout << xpxpa;
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std::cout << xpxpa - xpx;
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ADV sqx = x * x;
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std::cout << sqx;
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ADV sqxdx = sqx / x;
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std::cout << sqxdx;
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// std::cout << a << "\n\n" << x << "\n\n" << f << std::endl;
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*/
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}
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