Fmincon exitflag = 2

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Fmincon exitflag = 2

Documentation Help Center. Passing Extra Parameters explains how to pass extra parameters to the objective function and nonlinear constraint functions, if necessary. If the specified input bounds for a problem are inconsistent, fmincon throws an error. In this case, output x is x0 and fval is []. For the 'trust-region-reflective' algorithm, fmincon sets violating components to the interior of the bound region.

For other algorithms, fmincon sets violating components to the closest bound. Components that respect the bounds are not changed. See Iterations Can Violate Constraints. Use optimoptions to set these options. See fmincon Hessian. Find the minimum value of Rosenbrock's function when there is a linear inequality constraint. Set the objective function fun to be Rosenbrock's function.

fmincon exitflag = 2

Rosenbrock's function is well-known to be difficult to minimize. It has its minimum objective value of 0 at the point 1,1. Find the minimum value of Rosenbrock's function when there are both a linear inequality constraint and a linear equality constraint.

Find the minimum value starting from the point [0. Find the minimum of an objective function in the presence of bound constraints. To determine which solution is better, see Obtain the Objective Function Value.

Find the point where Rosenbrock's function is minimized within a circle, also subject to bound constraints. Look within the region. To observe the fmincon solution process, set the Display option to 'iter'. Also, try the 'sqp' algorithm, which is sometimes faster or more accurate than the default 'interior-point' algorithm.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service.

Computational Science Stack Exchange is a question and answer site for scientists using computers to solve scientific problems. It only takes a minute to sign up. I'm using Matlab's fmincon to solve a constrained nonlinear optimization for varying sets of parameters in the objective function. I have 2 parameters and have unique combination of these 2 parameters.

Within a particular combination of parameters I use a range of start points start points. Trying to do rough simulation of multi-start functionality using optimization toolbox. For a given combination of parameters in objective function, majority of the start points would solve the optimization problem and exit with a positive exitflag like 1 and in some cases 2. But for very small number of cases, the program would finish with an exitflag of -3 which corresponds to objective function at current iteration went below options.

ObjectiveLimit and maximum constraint violation was less than options. In such cases, the output message mentions about problem might be unbounded. One example message is below. Matlab link on Current Point and Function value mentions "The function value is the value of the objective function at the current point. On the other hand, Output Arguments states this for x "The solution found by the optimization function.

I'm not sure whether it is inconsistent documentation or a mis-interpretation on my part? Lastly, will draw attention to the statement Exit flags are not infallible guides to the quality of a solution. Many other factors, such as tolerance settings, can affect whether a solution is satisfactory to you.

You are responsible for deciding whether a solver returns a satisfactory answer.

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Sometimes a negative exit flag does not correspond to a "bad" solution. Similarly, sometimes a positive exit flag does not correspond to a "good" solution. Sign up to join this community. The best answers are voted up and rise to the top. The solution found by the optimization function when exitflag is negative Ask Question.

Asked 6 years, 2 months ago. Active 6 years, 2 months ago. Viewed 2k times. One example message is below Problem appears unbounded. Stopping criteria details: fmincon stopped because the objective function value, Hari Hari 35 7 7 bronze badges. Does it satisfy your constraints? Is its objective function value really The point x returned at exit of program when substituted in to objective function does not produce the function value returned by fmincon.

Do note, that the point x returned by fmincon does satisfy the constraints. It is internally consistent. Could this be floating point issue?Sign in to comment. Sign in to answer this question.

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Chen on 29 Mar Vote 0. Answered: Ameer Hamza on 29 Mar Accepted Answer: Ameer Hamza.

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I have this objective function:. And Hessian function:. Suppose the gradient and hessian are calaulated correctly here.

Then I run:. However, I have the error:. Is it because I am using a nested objective function? Or anything else?Sign in to comment. Sign in to answer this question. Unable to complete the action because of changes made to the page. Reload the page to see its updated state. Choose a web site to get translated content where available and see local events and offers.

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You may receive emails, depending on your notification preferences. Helen on 1 Jun Vote 0. Commented: Walter Roberson on 6 Jul Accepted Answer: Sargondjani.

Hello everyone. I'm creating a model on Matlab for optimization with inequality constraints, especially the minimization of a function with several variables at least 4.

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I'm trying to run the optimization for many times to get a list of solutions, gotten by a parameter varying at each simulation. If someone could advice me what method I could follow?

Thank you for the answer. Accepted Answer. Sargondjani on 1 Jun Cancel Copy to Clipboard. Edited: John Kelly on 2 Mar Helen on 4 Jun Thank you very much for your answer. I've tried to check non linear constraints. Even i found a feasible point, the problem is that I'd like to do the optimization with random values of the variables, so I could obtain a list of solutions.

How to make sure that the initial values are all feasible points?

fmincon exitflag = 2

Thank you. More Answers 2. Alan Weiss on 6 Jun Sign in to comment. Sign in to answer this question. Unable to complete the action because of changes made to the page. Reload the page to see its updated state.

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fmincon exitflag = 2

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Mathematical Optimization with MATLAB Optimization Toolbox (1)

You are now following this question You will see updates in your activity feed. You may receive emails, depending on your notification preferences. Conrado Neto on 31 Aug Vote 0.

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Edited: Matt J on 31 Aug I am solving a nonlinear optimization problem using fmincon, in which I have only 2 decision variables, with the following lower and upper bounds:. Here is a plot of the values of the objective function for different values of x1 and x However, this picture may be a bit misleading, since the objective function has several small ups and downs when zoomed in:. If I use fmincon default options, the analysis ends at the initial point as a local minimum.

The problem I have is that using different initial points, such as:. I hoped I could get an exitflag of 1 and, at least, similar results with different initial points. Does anyone have any suggestions on how to calibrate fmincon options in this case or which algorithm should I use?

I am running patternsearch now, but I am pretty sure that different initial points will give different resultsSign in to comment.

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ERROR: FMINCON requires all values returned by functions to be of data type double.

Reload the page to see its updated state. Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select:. Select the China site in Chinese or English for best site performance.

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MathWorks Answers Support. Open Mobile Search. Trial software. You are now following this question You will see updates in your activity feed. You may receive emails, depending on your notification preferences. Jamais avenir on 14 May Vote 0. Edited: Jamais avenir on 15 May Lately I've asked some questions AB here about getting infeasible exit falg using fmincon function i. That problem has been solved by checking the code many times and finding a small but important mistake.

I missed one minus sign behind some of the optimization variables limit lb,ub so I was forcing some optimization variables to be fixed. Here is the new challenges I've faced with the same problem:. I tried different solvers to get a better and faster output. Here is the challenge:. I am getting Exit Flag: 1,0,4,5 for different Pareto points ,as it is a multi-objective optimization problem, with Active-set algorithm. Then I tried to check different algorithms like interior-point and sqp for generating the Pareto points.

I observed that sqp returns few exit flags 1some 2 and few 0 but not any 4 or 5 flag. Also, I should note that, its 0 and 2 flagged solutions are correct answers. However, When it comes to return any exit flag except 1it takes a long time to solve the Pareto point.

As interior-point algorithm is designed for large scale program, it's very faster than sqp in generating the Pareto solutions.Sign in to comment. Sign in to answer this question. Unable to complete the action because of changes made to the page. Reload the page to see its updated state. Choose a web site to get translated content where available and see local events and offers.

Based on your location, we recommend that you select:. Select the China site in Chinese or English for best site performance. Other MathWorks country sites are not optimized for visits from your location. Toggle Main Navigation. Search Answers Clear Filters. Answers Support MathWorks. Search Support Clear Filters. Support Answers MathWorks. Search MathWorks.

MathWorks Answers Support. Open Mobile Search. Trial software. You are now following this question You will see updates in your activity feed. You may receive emails, depending on your notification preferences. Rajeev kamal on 21 Jan Vote 0. Answered: Star Strider on 21 Jan Accepted Answer: Star Strider. Equation solvedfsolve stalled.

What is the significance from the solution point of view. Any suggestions? Accepted Answer. Star Strider on 21 Jan Cancel Copy to Clipboard. From the documentation:. That essentially means that the solver stopped because it had reached an acceptable solution as specified in its options structure. More Answers 0. See Also. Tags exitflag fsolve. Start Hunting! Opportunities for recent engineering grads.


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