| __init__(self, Optimization optimization, bool error_on_fail=False) | optas.solver.Solver | |
| _error_on_fail | optas.solver.Solver | private |
| _lbg | optas.solver.CasADiSolver | private |
| _p_dict | optas.solver.Solver | private |
| _solution | optas.solver.CasADiSolver | private |
| _solve(self) | optas.solver.CasADiSolver | private |
| _solver | optas.solver.CasADiSolver | private |
| _stats | optas.solver.CasADiSolver | private |
| _ubg | optas.solver.CasADiSolver | private |
| did_solve(self) | optas.solver.CasADiSolver | |
| evaluate_cost(self, Dict[str, ArrayType] x, Dict[str, ArrayType] p) | optas.solver.Solver | |
| evaluate_cost_terms(self, Dict[str, ArrayType] x, Dict[str, ArrayType] p) | optas.solver.Solver | |
| interpolate(cs.DM traj, float T, **interp_args) | optas.solver.Solver | static |
| mi_solvers | optas.solver.CasADiSolver | static |
| nlp_solvers | optas.solver.CasADiSolver | static |
| number_of_iterations(self) | optas.solver.CasADiSolver | |
| opt | optas.solver.Solver | |
| opt_type(self) | optas.solver.Solver | |
| p | optas.solver.Solver | |
| qp_solvers | optas.solver.CasADiSolver | static |
| reset_initial_seed(self, Dict[str, ArrayType] x0) | optas.solver.Solver | |
| reset_parameters(self, Dict[str, ArrayType] p) | optas.solver.Solver | |
| setup(self, str solver_name, Dict solver_options={}) | optas.solver.CasADiSolver | |
| optas::solver::Solver.setup(self, *args, **kwargs) | optas.solver.Solver | |
| solve(self) | optas.solver.Solver | |
| stats(self) | optas.solver.CasADiSolver | |
| violated_constraints(self, Dict[str, ArrayType] x, Dict[str, ArrayType] p) | optas.solver.Solver | |
| x0 | optas.solver.Solver | |