| __init__(self, Optimization optimization, bool error_on_fail=False) | optas.solver.Solver | |
| _constraints | optas.solver.ScipyMinimizeSolver | private |
| _error_on_fail | optas.solver.Solver | private |
| _p_dict | optas.solver.Solver | private |
| _solution | optas.solver.ScipyMinimizeSolver | private |
| _solve(self) | optas.solver.ScipyMinimizeSolver | private |
| _stats | optas.solver.ScipyMinimizeSolver | private |
| ddg(self, cs.np.ndarray x) | optas.solver.ScipyMinimizeSolver | |
| ddh(self, cs.np.ndarray x) | optas.solver.ScipyMinimizeSolver | |
| dg(self, cs.np.ndarray x) | optas.solver.ScipyMinimizeSolver | |
| dh(self, cs.np.ndarray x) | optas.solver.ScipyMinimizeSolver | |
| did_solve(self) | optas.solver.ScipyMinimizeSolver | |
| dv(self, cs.np.ndarray x) | optas.solver.ScipyMinimizeSolver | |
| 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 | |
| f(self, cs.np.ndarray x) | optas.solver.ScipyMinimizeSolver | |
| g(self, cs.np.ndarray x) | optas.solver.ScipyMinimizeSolver | |
| h(self, cs.np.ndarray x) | optas.solver.ScipyMinimizeSolver | |
| hess(self, cs.np.ndarray x) | optas.solver.ScipyMinimizeSolver | |
| interpolate(cs.DM traj, float T, **interp_args) | optas.solver.Solver | static |
| jac(self, cs.np.ndarray x) | optas.solver.ScipyMinimizeSolver | |
| method | optas.solver.ScipyMinimizeSolver | |
| methods_handle_constraints | optas.solver.ScipyMinimizeSolver | static |
| methods_req_hess | optas.solver.ScipyMinimizeSolver | static |
| methods_req_jac | optas.solver.ScipyMinimizeSolver | static |
| minimize_input | optas.solver.ScipyMinimizeSolver | |
| number_of_iterations(self) | optas.solver.ScipyMinimizeSolver | |
| opt | optas.solver.Solver | |
| opt_type(self) | optas.solver.Solver | |
| p | optas.solver.Solver | |
| reset_initial_seed(self, x0) | optas.solver.ScipyMinimizeSolver | |
| optas::solver::Solver.reset_initial_seed(self, Dict[str, ArrayType] x0) | optas.solver.Solver | |
| reset_parameters(self, Dict[str, ArrayType] p) | optas.solver.ScipyMinimizeSolver | |
| setup(self, str method="SLSQP", Union[None, float] tol=None, Union[None, Dict] options=None) | optas.solver.ScipyMinimizeSolver | |
| optas::solver::Solver.setup(self, *args, **kwargs) | optas.solver.Solver | |
| solve(self) | optas.solver.Solver | |
| stats(self) | optas.solver.ScipyMinimizeSolver | |
| v(self, cs.np.ndarray x) | optas.solver.ScipyMinimizeSolver | |
| violated_constraints(self, Dict[str, ArrayType] x, Dict[str, ArrayType] p) | optas.solver.Solver | |
| x0 | optas.solver.Solver | |
1.9.1