8/24/2023 0 Comments Fmincon matlab example![]() You can see the calculated optimum isn't exactly, but it's within the default optimality tolerance. % Optimal x = optimSoln(1), optimal y = optimSoln(2) % Use fmincon to find the optimum solution, based on some initial guess % This should take one input (can be an array) Here is a very simple example, using fmincon to find the minima in myFunction, based on the initial guess. The key is that the objective function should return a scalar to be minimised. You don't have to use anonymous functions to define the actual objective function ( myFunction below), you can use functions in their own file. The input should be used in your function definition - read up on how anonymous functions should be written. See "How MATLAB Recognizes Command Syntax" in the MATLAB documentation for details. Then I tried with only one output and if I use output1 = get the errorĮrror: "output1" was previously used as a variable, conflicting with its use here as the name of a function or command. The first attept with multiple outputs gave me the error Only functions can return multiple values. I know that is a quite vague question but I'm not able to give a minimum example, since function makes a lot of things Is it possible to define something like input1 that goes from 1 to 2 for the best value mean, where mean is the mean value of some other results. Let's say that I want to find the optimum output acting only on input1 and keeping constant all the others inputs. ![]() I saw that fmincon function allows to find the optimum result with a given constraint. = my_function(input1,input2,input3,input4) I wrote a function where I give few constant parameters (real or complex) and for now, every time I change these parameters, the result changes (you don't say). Is it possible to use the optimization function fmincon with a Matlab defined function?
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