__init__(self) | jormungandr.optimization.Problem | |
add_callback(self, Callable[[IterationInfo], bool] callback) | jormungandr.optimization.Problem | |
clear_callbacks(self) | jormungandr.optimization.Problem | |
cost_function_type(self) | jormungandr.optimization.Problem | |
decision_variable(self) | jormungandr.optimization.Problem | |
decision_variable(self, int rows, int cols=1) | jormungandr.optimization.Problem | |
equality_constraint_type(self) | jormungandr.optimization.Problem | |
inequality_constraint_type(self) | jormungandr.optimization.Problem | |
maximize(self, Variable objective) | jormungandr.optimization.Problem | |
maximize(self, VariableMatrix objective) | jormungandr.optimization.Problem | |
maximize(self, float objective) | jormungandr.optimization.Problem | |
minimize(self, Variable cost) | jormungandr.optimization.Problem | |
minimize(self, VariableMatrix cost) | jormungandr.optimization.Problem | |
minimize(self, float cost) | jormungandr.optimization.Problem | |
solve(self, **kwargs) | jormungandr.optimization.Problem | |
subject_to(self, EqualityConstraints constraint) | jormungandr.optimization.Problem | |
subject_to(self, InequalityConstraints constraint) | jormungandr.optimization.Problem | |
symmetric_decision_variable(self, int rows) | jormungandr.optimization.Problem | |