2 : Maximum amount of CPU Time exceeded. [optm2, foptm2, exitflag] = fmincon(@(x) -eta2(x), x0, A, b, Aeq, beq, lb, ub, @(x)Constraints_2(x),options); f = @(x) (optm1 - eta1(x)).^2 + (optm2 - eta2(x)).^2 Look at that more carefully. Equation solved, fsolve stalled. Optimization options parameters used by fmincon.Some parameters apply to all algorithms, some are only relevant when using the large-scale algorithm, and others are only relevant when using the medium-scale algorithm.You can use optimset to set or change the values of these fields in the parameters structure, options.See Optimization Parameters, for detailed information. MATLAB: What does exitflag =2 mean for fsolve. All algorithms: See the documentation for a complete description. Matlab link on Current Point and Function value mentions "The function value is the value of the objective function at the current point." Most common are Exit Flags -2 and 2: ExitFlag = 2 Local minimum possible. After that, fmincon runs 2 times, the control value stays the same with the same matlab message. fmincon stopped because the size of the current step is less than the selected value of the step size tolerance and constraints are satisfied to within the selected value of the constraint tolerance. [optm2, foptm2, exitflag] = fmincon(@(x) -eta2(x), x0, A, b, Aeq, beq, lb, ub, @(x)Constraints_2(x),options); f = @(x) (optm1 - eta1(x)).^2 + (optm2 - eta2(x)).^2 Look at that more carefully. matlab optimization. I'm using the optimisation function "fmincon" and in some case it doesn't converge. exitflag fsolve MATLAB. I have made a custom file for outputting fmincon solutions, the code below works for the supplied function and the bounds [0 5] in x1 and [0 5] in x2, but now if I want to go change bounds (eg. This example shows how to use static memory allocation in code generation even when some matrix sizes change during a computation. Static Memory Allocation for fmincon Code Generation. Can I limit this run's number? Share. The curve of the f(x) is like the figure below (This is just 1 specific case as the coefficients of f(x) would vary from case to case but the form is the same) , and we can see the minimum point is around the labelled one at x=7.1e-12. The problem is a simple nonlinear minimization with both a nonlinear constraint function and linear constraints. Possible values of EXITFLAG and the corresponding exit conditions are listed below. Output may not be optimal. 3 : Stop at Tiny Step. The values it can take and what they indicate is described below: 0 : Optimal Solution Found; 1 : Maximum Number of Iterations Exceeded. The exitflag allows the user to know the status of the optimization which is returned by Ipopt. [X,FVAL,EXITFLAG] = fmincon(FUN,X0,...) returns an EXITFLAG that describes the exit condition. Output may not be optimal. Without code, it is hard to follow your specific problem, but the message (and probalb the exitflag) tells you that either your initial value or your objective-function sucks. for Branch and Bound solving), say to [0 5] x1 and [3 5] in x2, it doesn't work as intended, it still finds the solution within the original bounds. Thank u so much for your attention for my question, the minimum is the value required, the "fmincon" matlab function is used, and the algorithm is default, but there is a problem not addressed, the following is the code: b) When the exitflag is -3, the objective function value returned by fmincon does NOT match the explicit calculation of function value at the x point returned by fmincon. [X,FVAL] = fmincon(FUN,X0,...) returns the value of the objective function FUN at the solution X. ExitFlag = -2 No feasible solution found. I just completed and ran a fsolve loop that gave me some results with each iteration with exitflag=2. Constraints satisfied. Options.