ksopt_optimize.m

function [x, fval, exitflag, output] = ksopt_optimize(fun, x_0, A, b, Aeq, beq, lb, ub, nonlcon, options, varargin)
	%OPTIMIZE call nlopt with unconstrained algorithm to solve optimization problem
	%	Input:
	%		fun:		objective function to minimize
	%		x_0:		initial value or matrix of initial values or StartPointSet of initial values to start optimization from
	%		A:			matrix of linear inequlity constraints
	%		b:			upper limits for linear inequality constraints
	%		Aeq:		matrix for linear equality constraints
	%		beq:		upper limits for linear equality constraints
	%		lb:			fixed lower bounds on x
	%		ub:			fixed upper bounds on x
	%		nonlcon:	nonlinear inequality and equality constraints
	%		options:	settings for optimization
	%		varargin:	additional arguments for objective function
	%	Output:
	%		x:			optimal value
	%		fval:		function value at optimal value
	%		exitflag:	optimization result indicator
	%		output:		structure with information about optimization
	error('KSOPT:optimize', 'KSOPT is only available as compiled mex file.');
end