__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 | |