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Eigen::VectorXd | polyfem::gradient_from_energy (const int size, const int n_bases, const assembler::NonLinearAssemblerData &data, const std::function< DScalar1< double, Eigen::Matrix< double, 6, 1 > >(const assembler::NonLinearAssemblerData &)> &fun6, const std::function< DScalar1< double, Eigen::Matrix< double, 8, 1 > >(const assembler::NonLinearAssemblerData &)> &fun8, const std::function< DScalar1< double, Eigen::Matrix< double, 12, 1 > >(const assembler::NonLinearAssemblerData &)> &fun12, const std::function< DScalar1< double, Eigen::Matrix< double, 18, 1 > >(const assembler::NonLinearAssemblerData &)> &fun18, const std::function< DScalar1< double, Eigen::Matrix< double, 24, 1 > >(const assembler::NonLinearAssemblerData &)> &fun24, const std::function< DScalar1< double, Eigen::Matrix< double, 30, 1 > >(const assembler::NonLinearAssemblerData &)> &fun30, const std::function< DScalar1< double, Eigen::Matrix< double, 60, 1 > >(const assembler::NonLinearAssemblerData &)> &fun60, const std::function< DScalar1< double, Eigen::Matrix< double, 81, 1 > >(const assembler::NonLinearAssemblerData &)> &fun81, const std::function< DScalar1< double, Eigen::Matrix< double, Eigen::Dynamic, 1, 0, SMALL_N, 1 > >(const assembler::NonLinearAssemblerData &)> &funN, const std::function< DScalar1< double, Eigen::Matrix< double, Eigen::Dynamic, 1, 0, 1000, 1 > >(const assembler::NonLinearAssemblerData &)> &funBigN, const std::function< DScalar1< double, Eigen::VectorXd >(const assembler::NonLinearAssemblerData &)> &funn) |
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Eigen::MatrixXd | polyfem::hessian_from_energy (const int size, const int n_bases, const assembler::NonLinearAssemblerData &data, const std::function< DScalar2< double, Eigen::Matrix< double, 6, 1 >, Eigen::Matrix< double, 6, 6 > >(const assembler::NonLinearAssemblerData &)> &fun6, const std::function< DScalar2< double, Eigen::Matrix< double, 8, 1 >, Eigen::Matrix< double, 8, 8 > >(const assembler::NonLinearAssemblerData &)> &fun8, const std::function< DScalar2< double, Eigen::Matrix< double, 12, 1 >, Eigen::Matrix< double, 12, 12 > >(const assembler::NonLinearAssemblerData &)> &fun12, const std::function< DScalar2< double, Eigen::Matrix< double, 18, 1 >, Eigen::Matrix< double, 18, 18 > >(const assembler::NonLinearAssemblerData &)> &fun18, const std::function< DScalar2< double, Eigen::Matrix< double, 24, 1 >, Eigen::Matrix< double, 24, 24 > >(const assembler::NonLinearAssemblerData &)> &fun24, const std::function< DScalar2< double, Eigen::Matrix< double, 30, 1 >, Eigen::Matrix< double, 30, 30 > >(const assembler::NonLinearAssemblerData &)> &fun30, const std::function< DScalar2< double, Eigen::Matrix< double, 60, 1 >, Eigen::Matrix< double, 60, 60 > >(const assembler::NonLinearAssemblerData &)> &fun60, const std::function< DScalar2< double, Eigen::Matrix< double, 81, 1 >, Eigen::Matrix< double, 81, 81 > >(const assembler::NonLinearAssemblerData &)> &fun81, const std::function< DScalar2< double, Eigen::Matrix< double, Eigen::Dynamic, 1, 0, SMALL_N, 1 >, Eigen::Matrix< double, Eigen::Dynamic, Eigen::Dynamic, 0, SMALL_N, SMALL_N > >(const assembler::NonLinearAssemblerData &)> &funN, const std::function< DScalar2< double, Eigen::VectorXd, Eigen::MatrixXd >(const assembler::NonLinearAssemblerData &)> &funn) |
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double | polyfem::von_mises_stress_for_stress_tensor (const Eigen::MatrixXd &stress) |
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Eigen::MatrixXd | polyfem::pk1_from_cauchy (const Eigen::MatrixXd &stress, const Eigen::MatrixXd &F) |
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Eigen::MatrixXd | polyfem::pk2_from_cauchy (const Eigen::MatrixXd &stress, const Eigen::MatrixXd &F) |
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void | polyfem::compute_diplacement_grad (const int size, const ElementAssemblyValues &vals, const Eigen::MatrixXd &local_pts, const int p, const Eigen::MatrixXd &displacement, Eigen::MatrixXd &displacement_grad) |
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void | polyfem::compute_diplacement_grad (const int size, const ElementBases &bs, const ElementAssemblyValues &vals, const Eigen::MatrixXd &local_pts, const int p, const Eigen::MatrixXd &displacement, Eigen::MatrixXd &displacement_grad) |
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double | polyfem::convert_to_lambda (const bool is_volume, const double E, const double nu) |
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double | polyfem::convert_to_mu (const double E, const double nu) |
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Eigen::Matrix2d | polyfem::d_lambda_mu_d_E_nu (const bool is_volume, const double E, const double nu) |
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Eigen::Matrix2d | polyfem::d_E_nu_d_lambda_mu (const bool is_volume, const double lambda, const double mu) |
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double | polyfem::convert_to_E (const bool is_volume, const double lambda, const double mu) |
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double | polyfem::convert_to_nu (const bool is_volume, const double lambda, const double mu) |
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template<typename AutoDiffVect > |
void | polyfem::get_local_disp (const assembler::NonLinearAssemblerData &data, const int size, AutoDiffVect &local_disp) |
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template<typename AutoDiffVect , typename AutoDiffGradMat > |
void | polyfem::compute_disp_grad_at_quad (const assembler::NonLinearAssemblerData &data, const AutoDiffVect &local_disp, const int p, const int size, AutoDiffGradMat &def_grad) |
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template<typename AutoDiffGradMat > |
AutoDiffGradMat::Scalar | polyfem::first_invariant (const AutoDiffGradMat &B) |
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template<typename AutoDiffGradMat > |
AutoDiffGradMat::Scalar | polyfem::second_invariant (const AutoDiffGradMat &B) |
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template<typename AutoDiffGradMat > |
AutoDiffGradMat::Scalar | polyfem::third_invariant (const AutoDiffGradMat &B) |
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