cobyqa.problem.Problem#
- class cobyqa.problem.Problem(obj, x0, bounds, linear, nonlinear, callback, feasibility_tol, scale, store_history, history_size, filter_size, debug)[source]#
Optimization problem.
- Attributes:
bounds
Bound constraints.
fun_history
History of objective function evaluations.
fun_name
Name of the objective function.
is_feasibility
Whether the problem is a feasibility problem.
linear
Linear constraints.
m_bounds
Number of bound constraints.
m_linear_eq
Number of linear equality constraints.
m_linear_ub
Number of linear inequality constraints.
m_nonlinear_eq
Number of nonlinear equality constraints.
m_nonlinear_ub
Number of nonlinear inequality constraints.
maxcv_history
History of maximum constraint violations.
n
Number of variables.
n_eval
Number of function evaluations.
n_orig
Number of variables in the original problem (with fixed variables).
type
Type of the problem.
x0
Initial guess.
Methods
__call__
(x[, penalty])Evaluate the objective and nonlinear constraint functions.
best_eval
(penalty)Return the best point in the filter and the corresponding objective and nonlinear constraint function evaluations.
build_x
(x)Build the full vector of variables from the reduced vector.
maxcv
(x[, cub_val, ceq_val])Evaluate the maximum constraint violation.
violation