Interior point maximization on non-smooth surface

2 次查看(过去 30 天)
I am estimating a state-space model using maximum likelihood, and i am also doing simulations. For the actual maximisation part i have found that Interior point is the fastest way and also more accurate than BFGS, however my function to be maximized is very "bumpy" locally, overall it does behave nicely but if you soom in there are alot of local max and mins, so i figure meaby it would help if the nummerical derivatives were calculated over a greater length of area(as oposed to just moving slightly around the estimates to get them).
Is this possible ?
Thank you
  2 个评论
Sayyed Ahmad
Sayyed Ahmad 2018-6-18
You can also devlp your algorithm in C++ inline function to accelerating your code use it by mex compiler in matlab. You will be surprised. An inline function in C++ looked like this:
template<class T> inline T plus2(T a,T b) { return a+b; }
The following Link is a very easy example to understanding mex:
have fun Ahmad
John D'Errico
John D'Errico 2018-6-18
This is not a question of speed, of compiling a mex function at all, and all you did was resurrect a 6 year old dead question.

请先登录,再进行评论。

回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Online Estimation 的更多信息

Community Treasure Hunt

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

Start Hunting!

Translated by