Optimization completed because the size of the gradient is less than the value of the optimality tolerance.

33 ビュー (過去 30 日間)
佳琪 曾
佳琪 曾 2022 年 3 月 22 日
回答済み: Alan Weiss 2022 年 3 月 22 日
x=[0.0134 0.0260 0.0340 0.0457 0.0533 0.0587 0.0622 0.0694 0.0721 0.0757 0.0784 0.0801 0.0842]; y=[0.0000 0.0000 0.0000 0.0036 0.0230 0.0412 0.0884 0.2845 0.3946 0.4854 0.5495 0.5750 0.5931]; beta0=[0 0 0 0]; [p]=lsqcurvefit(@nihehanshu,beta0,x,y);
  1 件のコメント
Alan Weiss
Alan Weiss 2022 年 3 月 22 日
I don't know what your question is. The reported exit message is a good one, corresponding to an exit flag of 1. What is it you want to know? The exit message means lsqcurvefit reached a local minimum.
Alan Weiss
MATLAB mathematical toolbox documentation

サインインしてコメントする。

回答 (1 件)

Alan Weiss
Alan Weiss 2022 年 3 月 22 日
I think that you are mistaking the exit message for the solution. The solution resides in the p variable that the solver returns.
Alan Weiss
MATLAB mathematical toolbox documentation

タグ

Community Treasure Hunt

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

Start Hunting!

Translated by