WebJan 31, 2013 · I just saw in your code you want to pas in two extra parameters, X and Y. You might have to encapsulate these in a single variable for the anonymous function (but also maybe you can send both I'm not sure) try options.Y = Y; options.X = X; and then use @ (options)fit_simp (options) Share Improve this answer Follow edited Jan 25, 2013 at … WebOct 19, 2024 · MATLAB optimization using fmincon - Two variables Part 2 fmincon Optimization Wireless Communication Essentials 205 subscribers Share 5.9K views 3 …
How to set specific variables in fmincon to be integers only?
WebNov 2, 2010 · fminbnd with two variables. 988 views. Skip to first unread message ... fminbnd is for single-variable functions. Use fminsearch or fmincon instead. Best wishes Torsten. Matt J. unread, Nov 2, 2010, 11:05:05 AM 11/2/10 ... Webfminconfinds a constrained minimum of a scalar function of several variables starting at an initial estimate. This is generally referred to as constrained nonlinear optimizationor nonlinear programming. x = fmincon(fun,x0,A,b) x0can be a scalar, vector, or matrix. x = fmincon(fun,x0,A,b,Aeq,beq) Set A=[]and b=[]if no inequalities exist. daisy lampkin allen street new britain
Fmincon passing on variables between functions - MathWorks
WebJul 3, 2014 · x0 is a vector of initial guesses for the variables. Here they are all initialized to 1. It's of length 12 here as there seem to be 12 variables (including 'M'). x0 = ones(12,1) [x,fval] = fmincon(@fun,x0,[],[],[],[],zeros(12,1),[]) This link will help you understand how to write the objective functions for multiple variables: WebApr 10, 2024 · Answers (1) fmincon takes the size of the x0 input as determining the number of input variables. Your x0 has 6 elements, so fmincon thinks that you have a 6-variable problem. You are attempting to vectorize fmincon. However, fmincon cannot be vectorized, meaning it does not accept multiple input points. WebAug 17, 2024 · One option would be to do a variable transformation in your objective function. So for example, instead of making x your optimizing variable, use y, which we define as: y = x if 0<100, and y = x+30 if -100<-30. Note that, for allowable values of x, y ranges from -70 to +100, so you'd want to make those the constraints for y in fmincon. daisy leigh whiteford