cobyqa.problem.Problem

class cobyqa.problem.Problem(obj, x0, bounds, linear_ub, linear_eq, nonlinear_ub, nonlinear_eq, debug)

Optimization problem.

Attributes:

bounds

Bound constraints.

fun_name

Name of the objective function.

is_feasibility

Whether the problem is a feasibility problem.

linear_eq

Linear equality constraints.

linear_ub

Linear inequality 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.

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

best_eval(penalty, x[, fun_val, cub_val, ...])	Return the best point and the corresponding function evaluations.
build_x(x)	Build the full vector of variables from the reduced vector.
ceq(x)	Evaluate the nonlinear equality constraints.
cub(x)	Evaluate the nonlinear inequality constraints.
fun(x)	Evaluate the objective function.
resid(x[, cub_val, ceq_val])	Evaluate the constraint residuals.