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https://github.com/OPM/opm-simulators.git
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Cleaned up comments
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@@ -159,22 +159,6 @@ namespace Opm
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// ... then set the one corrresponding to this variable to identity.
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assert(blocksizes[index] == num_elem);
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jac[index] = M(M::IdentityMatrix, val.size());
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// if(val.size()>0)
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// {
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// // if val is empty the following will run into an assertion
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// // with Eigen
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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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// }
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// else
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// {
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// // Do some check. Empty jacobian only make sense for empty val.
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// for (int i = 0; i < num_blocks; ++i) {
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// assert(jac[i].size()==0);
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// }
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// }
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return AutoDiffBlock(std::move(val), std::move(jac));
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}
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@@ -258,7 +242,6 @@ namespace Opm
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const int num_blocks = rhs.numBlocks();
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jac_.resize(num_blocks);
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for (int block = 0; block < num_blocks; ++block) {
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// jac_[block] = -rhs.jac_[block];
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jac_[block] = rhs.jac_[block] * (-1.0);
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}
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} else if (!rhs.jac_.empty()) {
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@@ -502,7 +485,6 @@ namespace Opm
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std::vector<typename AutoDiffBlock<Scalar>::M> jac(num_blocks);
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assert(lhs.cols() == rhs.value().rows());
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for (int block = 0; block < num_blocks; ++block) {
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// jac[block] = lhs*rhs.derivative()[block];
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fastSparseProduct(lhs, rhs.derivative()[block], jac[block]);
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}
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typename AutoDiffBlock<Scalar>::V val = lhs*rhs.value().matrix();
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@@ -519,7 +501,6 @@ namespace Opm
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std::vector<typename AutoDiffBlock<Scalar>::M> jac(num_blocks);
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assert(lhs.cols() == rhs.value().rows());
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for (int block = 0; block < num_blocks; ++block) {
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// jac[block] = lhs*rhs.derivative()[block];
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fastSparseProduct(lhs, rhs.derivative()[block], jac[block]);
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}
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typename AutoDiffBlock<Scalar>::V val = lhs*rhs.value().matrix();
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