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Added utilitied collapseJacs() and vertcat().
The utilities are not optimized for speed, but make it easy to construct a linear system from all the jacobian blocks.
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@ -363,4 +363,67 @@ spdiag(const AutoDiff::ForwardBlock<double>::V& d)
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/// Returns the input expression, but with all Jacobians collapsed to one.
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inline
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AutoDiff::ForwardBlock<double>
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collapseJacs(const AutoDiff::ForwardBlock<double>& x)
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{
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typedef AutoDiff::ForwardBlock<double> ADB;
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const int nb = x.numBlocks();
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typedef Eigen::Triplet<double> Tri;
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int nnz = 0;
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for (int block = 0; block < nb; ++block) {
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nnz += x.derivative()[block].nonZeros();
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}
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std::vector<Tri> t;
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t.reserve(nnz);
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int block_col_start = 0;
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for (int block = 0; block < nb; ++block) {
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const ADB::M& jac = x.derivative()[block];
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// ADB::M is column major
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for (int col = 0; col < jac.cols(); ++col) {
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for (int elem = jac.outerIndexPtr()[col];
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elem < jac.outerIndexPtr()[col + 1];
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++elem) {
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const int row = jac.innerIndexPtr()[elem];
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t.emplace_back(row, block_col_start + col, jac.valuePtr()[elem]);
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}
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}
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block_col_start += jac.cols();
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}
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// Build final jacobian.
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std::vector<ADB::M> jacs(1);
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jacs[0].resize(x.size(), block_col_start);
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jacs[0].setFromTriplets(t.begin(), t.end());
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return ADB::function(x.value(), jacs);
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}
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/// Returns the vertical concatenation [ x; y ] of the inputs.
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inline
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AutoDiff::ForwardBlock<double>
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vertcat(const AutoDiff::ForwardBlock<double>& x,
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const AutoDiff::ForwardBlock<double>& y)
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{
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const int nx = x.size();
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const int ny = y.size();
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const int n = nx + ny;
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std::vector<int> xind(nx);
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for (int i = 0; i < nx; ++i) {
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xind[i] = i;
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}
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std::vector<int> yind(ny);
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for (int i = 0; i < ny; ++i) {
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yind[i] = nx + i;
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}
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return superset(x, xind, n) + superset(y, yind, n);
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}
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#endif // OPM_AUTODIFFHELPERS_HEADER_INCLUDED
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