編集済み:Matt J2025 年 1 月 11 日
Hello, I am trying to use fmincon to find values that maximizes the function. (2 variables) The document on the website provides sample that provides scalar and I want to return vectors instead of it. Below is the sample code I wrote to understand how fmincon works....
Why don't you optimize all parameters in one call to fmincon ? It's not a problem that Ea and k are different for each dataset, but that they share a common value for alpha. Further I suggest using "lsqcurvefit" instead of "fmincon" which is especially desig...
fmincon does not itself know anything about optimal control problems or about final free time.
Since you don't appear to have any constraints, you probably don't want to usefmincon. Instead, use one of theunconstrained optimizationfunctions. Their signatures are much shorter than that offmincon, since they don't accept constraints. ...
, to write an objective function, you need to put all your variables into one vector, typically called x. So your objective function should look something like the following:No
The exit flag value of 1 indicates that fmincon converges to a local minimum that satisfies all of the constraints. This code creates the fullexample function, which contains the nested functions myobj and myconstr. Get function [x,fval,exitflag] = fullexample x0 = [1; 4; 5; 2; 5]...
GlobalSearch and MultiStart have similar approaches to finding global or multiple minima. Both algorithms start a local solver (such as fmincon) from multiple start points. The algorithms use multiple start points to sample multiple basins of attraction. For more information, see Basins of Attraction...
In this investigation, we use indirect optimization methods. The most fundamental feature of indirect methods is that any trajectory satisfying the necessary conditions and all boundary conditions (BCs) is guaranteed to yield a local extremal. In space applications the equations of motion (EOM) are ...
Before I added the UseParallel function, the fmincon ran well and there was no this error. In my understanding, the finite difference derivatives at initial point shouldn't be effected by using parallel or not? I do not really know how to solve this proble...