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Fmincon nonlinear constraints9/11/2023 ![]() % Syntax % x = fmincon(fun,x0,A,b) % x = fmincon(fun,x0,A,b,Aeq,beq) % x = fmincon(fun,x0,A,b,Aeq,beq,lb,ub) % x = fmincon(fun,x0,A,b,Aeq,beq,lb,ub,nonlcon) % x = fmincon(fun,x0,A,b,Aeq,beq,lb,ub,nonlcon,options) % = fmincon(.) % = fmincon(.) % = fmincon(.) % = fmincon(.) % = fmincon(.) % = fmincon(.) % Descriptionfmincon attempts to find a constrained minimum of a scalar % function of several variables starting at an initial estimate. f(x), c(x), and ceq(x) can be nonlinear % functions. % NOTE: fmincon % Find a minimum of a constrained nonlinear multivariable function subject % to constraints where x, b, beq, lb, and ub are vectors, A and Aeq are % matrices, c(x) and ceq(x) are functions that return vectors, and f(x) is % a function that returns a scalar. = confuneq(x) % Check the constraint values at x % NOTE: % If you have bounds (side constraints) on variables then you go as % follows: % lb = % Set lower bounds % ub = % If no upper bounds % %After 21 function evaluations, the solution produced is ![]() Options = optimset( 'LargeScale', 'off') X0 = % Make a starting guess at the solution % NOTE: % If you have more than one inequality/equality then write them as % c = & ceq = % If you do not have any inequality/equality then givee them as empty sets % c = & ceq = % NOTE: % The direction and form of inequalities must be "g(x) < 0" %Step 3: Invoke constrained optimization routine %Step 2: Write an M-file confuneq.m for the nonlinear constraints function = confuneq(x)
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