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1.9.5
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autogenu-jupyter
An automatic code generator and the continuation/GMRES (C/GMRES) based numerical solvers for nonlinear MPC
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This is the complete list of members for cgmres::detail::ContinuationGMRESCondensing< NLP >, including all inherited members.
| ContinuationGMRESCondensing(const NLP &nlp, const Scalar finite_difference_epsilon, const Scalar zeta) | cgmres::detail::ContinuationGMRESCondensing< NLP > | inline |
| ContinuationGMRESCondensing()=default | cgmres::detail::ContinuationGMRESCondensing< NLP > | |
| dim | cgmres::detail::ContinuationGMRESCondensing< NLP > | static |
| eval_Ax(const Scalar t, const MatrixBase< VectorType1 > &x0, const MatrixBase< VectorType2 > &solution, const std::array< Vector< nx >, N+1 > &x, const std::array< Vector< nx >, N+1 > &lmd, const std::array< Vector< nub >, N > &dummy, const std::array< Vector< nub >, N > &mu, const MatrixBase< VectorType3 > &solution_update, const MatrixBase< VectorType4 > &ax_vec) | cgmres::detail::ContinuationGMRESCondensing< NLP > | inline |
| eval_b(const Scalar t, const MatrixBase< VectorType1 > &x0, const MatrixBase< VectorType2 > &solution, const std::array< Vector< nx >, N+1 > &x, const std::array< Vector< nx >, N+1 > &lmd, const std::array< Vector< nub >, N > &dummy, const std::array< Vector< nub >, N > &mu, const MatrixBase< VectorType3 > &solution_update, const MatrixBase< VectorType4 > &b_vec) | cgmres::detail::ContinuationGMRESCondensing< NLP > | inline |
| eval_fonc(const Scalar t, const MatrixBase< VectorType > &x0, const Vector< dim > &solution, const std::array< Vector< nx >, N+1 > &x, const std::array< Vector< nx >, N+1 > &lmd, const std::array< Vector< nub >, N > &dummy, const std::array< Vector< nub >, N > &mu) | cgmres::detail::ContinuationGMRESCondensing< NLP > | inline |
| expansion(const Scalar t, const MatrixBase< VectorType1 > &x0, const MatrixBase< VectorType2 > &solution, std::array< Vector< nx >, N+1 > &x, std::array< Vector< nx >, N+1 > &lmd, std::array< Vector< nub >, N > &dummy, std::array< Vector< nub >, N > &mu, const MatrixBase< VectorType3 > &solution_update, const Scalar dt, const Scalar min_dummy) | cgmres::detail::ContinuationGMRESCondensing< NLP > | inline |
| get_nlp() const | cgmres::detail::ContinuationGMRESCondensing< NLP > | inline |
| N | cgmres::detail::ContinuationGMRESCondensing< NLP > | static |
| nc | cgmres::detail::ContinuationGMRESCondensing< NLP > | static |
| nu | cgmres::detail::ContinuationGMRESCondensing< NLP > | static |
| nub | cgmres::detail::ContinuationGMRESCondensing< NLP > | static |
| nuc | cgmres::detail::ContinuationGMRESCondensing< NLP > | static |
| nx | cgmres::detail::ContinuationGMRESCondensing< NLP > | static |
| optError() const | cgmres::detail::ContinuationGMRESCondensing< NLP > | inline |
| retrive_dummy(const Vector< dim > &solution, std::array< Vector< nub >, N > &dummy, const std::array< Vector< nub >, N > &mu, const Scalar min_dummy) | cgmres::detail::ContinuationGMRESCondensing< NLP > | inline |
| retrive_lmd(const Scalar t, const MatrixBase< VectorType > &x0, const Vector< dim > &solution, const std::array< Vector< nx >, N+1 > &x, std::array< Vector< nx >, N+1 > &lmd) | cgmres::detail::ContinuationGMRESCondensing< NLP > | inline |
| retrive_mu(const Vector< dim > &solution, const std::array< Vector< nub >, N > &dummy, std::array< Vector< nub >, N > &mu) | cgmres::detail::ContinuationGMRESCondensing< NLP > | inline |
| retrive_x(const Scalar t, const MatrixBase< VectorType > &x0, const Vector< dim > &solution, std::array< Vector< nx >, N+1 > &x) | cgmres::detail::ContinuationGMRESCondensing< NLP > | inline |
| synchronize_ocp() | cgmres::detail::ContinuationGMRESCondensing< NLP > | inline |
| ~ContinuationGMRESCondensing()=default | cgmres::detail::ContinuationGMRESCondensing< NLP > |
1.9.5