Optimizing/Minimizing multivariant equation with fminunc function

조회 수: 2(최근 30일)
I want to minimize a multivariate function which is dependent on 5 variables. (a,b,c,d,e) or (x(1),x(2),x(3),x(4),x(5)). I want to optimize/minimize this function to give me values of all 5 variables.
I need help in using this function. I am looking for exact code to optimization with fminunc that would work for me.
Below both equations are same first one has variables a,b,c,d,e and second has variables x(1),x(2),x(3),x(4),x(5).
Thanks
EQUATION with (a,b,c,d,e) variables
f = @(a,b,c,d,e) (-24951.7481672607*c*e)-(31692.9973208411*b*e)+(3225.11425786636*b*d)-(16419.7612619098*a*e)+(6432.88280411328*a*d)+(21319.7492059262*a*c)-(774.242787454529*d*e)-(969.74514540837*c*d)+(114650.02403548*b*c)+(9559.61986707961*a*b)-(10063.1833861524*(e^2))+(45673.2789241553*(d^2))+(54066.6037689217*(c^2))+(43331.1131990043*(b^2))+(33417.5807194389*(a^2))+ 84490.9661074925*e)-(83022.7768867125*d)-(158265.888247206*c)-(133009.535038023*b)-(76817.465849786*a)+120593.991848581
OR
EQUATION with (x(1),x(2),x(3),x(4),x(5)) variables
f = (-24951.7481672607*(x(3))*(x(5)))-(31692.9973208411*x(2)*x(5))+(3225.11425786636*x(2)*x(4))-(16419.7612619098*x(1)*x(5))+(6432.88280411328*x(1)*x(4))+(21319.7492059262*x(1)*x(3))-(774.242787454529*x(4)*x(5))-(969.74514540837*x(3)*x(4))+(114650.02403548*x(2)*x(3))+(9559.61986707961*x(1)*x(2))-(10063.1833861524*(x(5)^2))+(45673.2789241553*(x(4)^2))+(54066.6037689217*(x(3)^2))+(43331.1131990043*(x(2)^2))+(33417.5807194389*(x(1)^2))+(84490.9661074925*x(5))-(83022.7768867125*x(4))-(158265.888247206*x(3))-(133009.535038023*x(2))-(76817.465849786*x(1))+120593.991848581

답변(1개)

Alan Weiss
Alan Weiss 2012년 8월 22일
I suggest you look at the Getting Started documentation for Optimization Toolbox.
In your case, your objective functon f should accept a vector x and return f(x), such as
f = @(x) (-24951.7481672607*(x(3))*(x(5)))-....
Alan Weiss
MATLAB mathematical toolbox documentation
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Walter Roberson
Walter Roberson 2012년 8월 22일
You would get that problem if your x0 was a scalar.

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