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https://github.com/OPM/opm-simulators.git
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Constified everything.
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1aaec4b9a0
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125
sim_simple.cpp
125
sim_simple.cpp
@ -276,27 +276,27 @@ int main()
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Opm::time::StopWatch clock;
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clock.start();
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Opm::GridManager gm(3,3);//(50, 50, 10);
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const Opm::GridManager gm(3,3);//(50, 50, 10);
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const UnstructuredGrid& grid = *gm.c_grid();
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using namespace Opm::unit;
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using namespace Opm::prefix;
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// Opm::IncompPropertiesBasic props(2, Opm::SaturationPropsBasic::Linear,
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// { 1000.0, 800.0 },
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// { 1.0*centi*Poise, 5.0*centi*Poise },
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// 0.2, 100*milli*darcy,
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// grid.dimensions, grid.number_of_cells);
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// Opm::IncompPropertiesBasic props(2, Opm::SaturationPropsBasic::Linear,
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// { 1000.0, 1000.0 },
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// { 1.0, 1.0 },
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// 1.0, 1.0,
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// grid.dimensions, grid.number_of_cells);
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Opm::IncompPropertiesBasic props(2, Opm::SaturationPropsBasic::Linear,
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{ 1000.0, 1000.0 },
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{ 1.0, 30.0 },
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1.0, 1.0,
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grid.dimensions, grid.number_of_cells);
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// const Opm::IncompPropertiesBasic props(2, Opm::SaturationPropsBasic::Linear,
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// { 1000.0, 800.0 },
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// { 1.0*centi*Poise, 5.0*centi*Poise },
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// 0.2, 100*milli*darcy,
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// grid.dimensions, grid.number_of_cells);
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// const Opm::IncompPropertiesBasic props(2, Opm::SaturationPropsBasic::Linear,
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// { 1000.0, 1000.0 },
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// { 1.0, 1.0 },
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// 1.0, 1.0,
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// grid.dimensions, grid.number_of_cells);
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const Opm::IncompPropertiesBasic props(2, Opm::SaturationPropsBasic::Linear,
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{ 1000.0, 1000.0 },
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{ 1.0, 30.0 },
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1.0, 1.0,
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grid.dimensions, grid.number_of_cells);
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std::vector<double> htrans(grid.cell_facepos[grid.number_of_cells]);
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tpfa_htrans_compute((UnstructuredGrid*)&grid, props.permeability(), htrans.data());
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tpfa_htrans_compute(const_cast<UnstructuredGrid*>(&grid), props.permeability(), htrans.data());
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// std::vector<double> trans(grid.number_of_faces);
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V trans_all(grid.number_of_faces);
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tpfa_trans_compute((UnstructuredGrid*)&grid, htrans.data(), trans_all.data());
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@ -308,7 +308,7 @@ int main()
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std::cerr << "Opm core " << clock.secsSinceLast() << std::endl;
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// Define neighbourhood-derived operator matrices.
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HelperOps ops(grid);
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const HelperOps ops(grid);
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const int num_internal = ops.internal_faces.size();
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V transi(num_internal);
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for (int fi = 0; fi < num_internal; ++fi) {
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@ -334,15 +334,15 @@ int main()
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// totmob - explicit as well
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TwoCol kr(nc, 2);
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props.relperm(nc, s0.data(), allcells.data(), kr.data(), 0);
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V krw = kr.leftCols<1>();
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V kro = kr.rightCols<1>();
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const V krw = kr.leftCols<1>();
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const V kro = kr.rightCols<1>();
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const double* mu = props.viscosity();
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V totmob = krw/mu[0] + kro/mu[1];
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V totmobf = (ops.caver*totmob.matrix()).array();
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const V totmob = krw/mu[0] + kro/mu[1];
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const V totmobf = (ops.caver*totmob.matrix()).array();
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// Mobility-weighted transmissibilities per internal face.
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// Still explicit, and no upwinding!
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V mobtransf = totmobf*transi;
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const V mobtransf = totmobf*transi;
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std::cerr << "Property arrays " << clock.secsSinceLast() << std::endl;
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@ -351,18 +351,18 @@ int main()
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p0.fill(200*Opm::unit::barsa);
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// First actual AD usage: defining pressure variable.
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std::vector<int> block_pattern = { nc };
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// Could actually write { nc } instead of block_pattern below,
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const std::vector<int> bpat = { nc };
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// Could actually write { nc } instead of bpat below,
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// but we prefer a named variable since we will repeat it.
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ADB p = ADB::variable(0, p0, block_pattern);
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ADB ngradp = ops.ngrad*p;
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const ADB p = ADB::variable(0, p0, bpat);
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const ADB ngradp = ops.ngrad*p;
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// We want flux = totmob*trans*(p_i - p_j) for the ij-face.
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// We only need to multiply mobtransf and pdiff_face,
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// but currently multiplication with constants is not in,
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// so we define an AD constant to multiply with.
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ADB mobtransf_ad = ADB::constant(mobtransf, block_pattern);
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ADB flux = mobtransf_ad*ngradp;
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ADB residual = ops.div*flux - ADB::constant(q, block_pattern);
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const ADB mobtransf_ad = ADB::constant(mobtransf, bpat);
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const ADB flux = mobtransf_ad*ngradp;
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const ADB residual = ops.div*flux - ADB::constant(q, bpat);
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std::cerr << "Construct AD residual " << clock.secsSinceLast() << std::endl;
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// It's the residual we want to be zero. We know it's linear in p,
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@ -374,20 +374,21 @@ int main()
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// residual.derived()[0].
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Eigen::UmfPackLU<M> solver;
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M matr = residual.derivative()[0];
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matr.coeffRef(0,0) *= 2.0;
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matr.makeCompressed();
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solver.compute(matr);
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M pmatr = residual.derivative()[0];
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pmatr.coeffRef(0,0) *= 2.0;
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pmatr.makeCompressed();
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solver.compute(pmatr);
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if (solver.info() != Eigen::Success) {
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std::cerr << "Pressure/flow Jacobian decomposition error\n";
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return EXIT_FAILURE;
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}
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Eigen::VectorXd x = solver.solve(residual.value().matrix());
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// const Eigen::VectorXd dp = solver.solve(residual.value().matrix());
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const V dp = solver.solve(residual.value().matrix()).array();
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if (solver.info() != Eigen::Success) {
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std::cerr << "Pressure/flow solve failure\n";
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return EXIT_FAILURE;
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}
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V p1 = p0 - x.array();
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const V p1 = p0 - dp;
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std::cerr << "Solve " << clock.secsSinceLast() << std::endl;
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// std::cout << p1 << std::endl;
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@ -402,57 +403,51 @@ int main()
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double res_norm = 1e100;
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V s1 = /*s0.leftCols<1>()*/0.5*V::Ones(nc,1); // Initial guess.
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UpwindSelector<double> upws(grid, ops);
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const UpwindSelector<double> upws(grid, ops);
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const V nkdp = transi * (ops.ngrad * p1.matrix()).array();
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const V dflux = totmobf * nkdp;
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const V pv = Eigen::Map<const V>(props.porosity(), nc, 1)
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* Eigen::Map<const V>(grid.cell_volumes, nc, 1);
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const double dt = 0.0005;
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const V dtpv = dt/pv;
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V qneg = dtpv*q;
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V qpos = dtpv*q;
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// Cheating a bit...
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qneg[0] = 0.0;
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qpos[nc-1] = 0.0;
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std::cout.setf(std::ios::scientific);
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std::cout.precision(16);
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int it = 0;
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do {
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const std::vector<int>& bp = block_pattern;
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ADB s = ADB::variable(0, s1, bp);
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const double dt = 0.0005;
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V pv = Eigen::Map<const V>(props.porosity(), nc, 1)
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* Eigen::Map<const V>(grid.cell_volumes, nc, 1);
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V dtpv = dt/pv;
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// std::cout << dtpv;
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std::vector<ADB> pmobc = phaseMobility<ADB>(props, allcells, s.value());
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std::vector<ADB> pmobf = upws.select(p1, pmobc);
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ADB fw_cell = fluxFunc(pmobc);
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const ADB s = ADB::variable(0, s1, bpat);
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const std::vector<ADB> pmobc = phaseMobility<ADB>(props, allcells, s.value());
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const std::vector<ADB> pmobf = upws.select(p1, pmobc);
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const ADB fw_cell = fluxFunc(pmobc);
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const ADB fw_face = fluxFunc(pmobf);
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const ADB flux1 = fw_face * ADB::constant(dflux, bp);
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// std::cout << flux1;
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V qneg = dtpv*q;
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V qpos = dtpv*q;
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// Cheating a bit...
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qneg[0] = 0.0;
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qpos[nc-1] = 0.0;
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ADB qtr_ad = ADB::constant(qpos, bp) + fw_cell*ADB::constant(qneg, bp);
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ADB transport_residual = s - ADB::constant(s0.leftCols<1>(), bp)
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+ ADB::constant(dtpv, bp)*(ops.div*flux1)
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const ADB flux1 = fw_face * ADB::constant(dflux, bpat);
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const ADB qtr_ad = ADB::constant(qpos, bpat) + fw_cell*ADB::constant(qneg, bpat);
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const ADB transport_residual = s - ADB::constant(s0.leftCols<1>(), bpat)
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+ ADB::constant(dtpv, bpat)*(ops.div*flux1)
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- qtr_ad;
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res_norm = transport_residual.value().matrix().norm();
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std::cout << "res_norm[" << it << "] = "
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<< res_norm << std::endl;
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matr = transport_residual.derivative()[0];
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matr.makeCompressed();
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// std::cout << transport_residual;
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solver.compute(matr);
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M smatr = transport_residual.derivative()[0];
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smatr.makeCompressed();
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solver.compute(smatr);
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if (solver.info() != Eigen::Success) {
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std::cerr << "Transport Jacobian decomposition error\n";
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return EXIT_FAILURE;
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}
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x = solver.solve(transport_residual.value().matrix());
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const V ds = solver.solve(transport_residual.value().matrix()).array();
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if (solver.info() != Eigen::Success) {
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std::cerr << "Transport solve failure\n";
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return EXIT_FAILURE;
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}
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// std::cout << x << std::endl;
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s1 = s.value() - x.array();
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s1 = s.value() - ds;
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std::cerr << "Solve for s[" << it << "]: "
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<< clock.secsSinceLast() << '\n';
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for (int c = 0; c < nc; ++c) {
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