Optimisation of parameters in a PDE

1 次查看(过去 30 天)
Hi,
Suppose I am dealing with the heat equation: ∂T/∂t=α∂^2T/∂x^2 and I have some data which I want to fit it to and determine the best value for α.
I can follow the general instructions for optimisation but how do I do it for a PDE such as this?

回答(1 个)

Torsten
Torsten 2018-9-20
https://de.mathworks.com/matlabcentral/answers/406938-fitting-the-numerical-solution-of-a-pde-with-one-parameter-to-some-data
Best wishes
Torsten.
  2 个评论
Matthew Hunt
Matthew Hunt 2018-9-20
I'm not using pdepe to solve my equation. I have my own routine which takes in t,x, and alpha and spits out the profile. I understand what objective functions are in general. Do I have to put the data which I want to optimise against and the numerical solution in to the objective function?
Torsten
Torsten 2018-9-24
Usually the sum of differences squared between experimental and simulated data is minimized with respect to a fitting parameter (in your case "alpha").
Best wishes
Torsten.

请先登录,再进行评论。

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by