opm-simulators/AutoDiffBlock.hpp
2013-04-30 20:28:32 +02:00

207 lines
7.1 KiB
C++

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