How to minimize cost function define over volume omega using BFGS algorithm? 1

[Lemine]

Hello, Engineer and Mathematician programmer,

I have computed a cost function J(x1,..xn) and her gradient J'(x1,..xn) defined over a volume using finite element analysis.
so I have the value of these fields J and J' at n nodes (x1,..xn) in the geometry (integration point) and I have saved the data in a text file.
My problem is how to minimize this function using for example BFGS algorithm?

Thanks for your help

 

[GregLocock]

I typed BFGS example into my favorite search engine/data raper and got many hits. Matlab uses BFGS in fmincon, sometimes.

Cheers

Greg Locock


New here? Try reading these, they might help FAQ731-376

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[IRstuff]

Not only that, but there's even code available:

https://www.mathworks.com/matlabcen...-broydon-fletcher-goldfarb-shanno-bfgs-method

TTFN (ta ta for now)
I can do absolutely anything. I'm an expert!

https://www.youtube.com/watch?v=BKorP55Aqvg

faq731-376 forum1529 Entire Forum list

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[Jessica Herron]

Well, a cost function is something we want to minimize. For example, our cost function might be the sum of squared errors over the training set. Gradient descent is a method for finding the minimum of a function of multiple variables. So we can use gradient descent as a tool to minimize our cost function.

 

[3DDave]

Jessica Herron plagiarized

https://towardsdatascience.com/minimizing-the-cost-function-gradient-descent-a5dd6b5350e1

What I cannot figure out is why.

 

[FreddyNurk]

3DDave, I suspect its a bot poster or similar, since posts are starting to come up with a link in the signature.