Description
This invokes CasOC::Problem::calcCost().
Inheritance diagram for CasOC::Cost:
#include <Moco/Moco/MocoCasADiSolver/CasOCFunction.h>
Public Member Functions | |
| VectorDM | eval (const VectorDM &args) const override |
 Public Member Functions inherited from CasOC::Endpoint | |
| void | constructFunction (const Problem *casProblem, const std::string &name, int index, int numEquations, const std::string &finiteDiffScheme, std::shared_ptr< const std::vector< VariablesDM >> pointsForSparsityDetection) |
| casadi_int | get_n_in () override |
| std::string | get_name_in (casadi_int i) override final |
| casadi::Sparsity | get_sparsity_in (casadi_int i) override |
| casadi_int | get_n_out () override final |
| std::string | get_name_out (casadi_int i) override final |
| casadi::Sparsity | get_sparsity_out (casadi_int i) override final |
| casadi::DM | getSubsetPoint (const VariablesDM &fullPoint) const override |
| The endpoint input is not simply a subset of the NLP variables; the endpoint function also depends on an integral, computed from an integrand function and using a transcription's quadrature scheme. More... | |
| Public Member Functions inherited from CasOC::Function | |
| void | constructFunction (const Problem *casProblem, const std::string &name, const std::string &finiteDiffScheme, std::shared_ptr< const std::vector< VariablesDM >> pointsForSparsityDetection) |
| void | setCommonOptions (casadi::Dict &opts) |
| std::string | getFiniteDifferenceScheme () |
| casadi_int | get_n_in () override |
| std::string | get_name_in (casadi_int i) override |
| casadi::Sparsity | get_sparsity_in (casadi_int i) override |
| bool | has_jacobian_sparsity () const override |
| casadi::Sparsity | get_jacobian_sparsity () const override |
Additional Inherited Members | |
| Protected Attributes inherited from CasOC::Endpoint | |
| int | m_index = -1 |
| int | m_numEquations = -1 |
| Protected Attributes inherited from CasOC::Function | |
| const Problem * | m_casProblem |
The documentation for this class was generated from the following file: