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

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

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

(OP)
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

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

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.

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

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

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