What is lambda in lsqcurvefit?

조회 수: 2 (최근 30일)
Prashant Govindarajan
Prashant Govindarajan 2019년 4월 18일
편집: Matt J 2019년 4월 19일
lsqcurvefit returns the lambda values as a structure with fields lower and upper. But according to the Levenberg-Marquardt algorithm
,
where we have to specify the initial value of lambda, which is a scalar and it changes its value after each iteration.
Why is the lambda returned by the lsqcurvefit function having two vectors for upper and lower separately and why are they zeros in most of the cases?

채택된 답변

Matt J
Matt J 2019년 4월 18일
편집: Matt J 2019년 4월 18일
The lambda returned by lsqcurvefit are not Levenberg-Marquardt parameters. They are the Lagrange multiplers at the solution. If the Lagrange multipliers are zero most of the time, it is probably because your solutions tend not to lie at the upper and lower boundaries.
  댓글 수: 2
Prashant Govindarajan
Prashant Govindarajan 2019년 4월 19일
편집: Prashant Govindarajan 2019년 4월 19일
So is there any way to obtain the parameter λ (damping parameter) from the lsqcurvefit function? I require it to calculate the standard errors of the estimated parameters.
Matt J
Matt J 2019년 4월 19일
편집: Matt J 2019년 4월 19일
You can use the OutputFcn option to get it, or display it to the screen (to some precision) by settings the Display option to 'iter', as described here,

댓글을 달려면 로그인하십시오.

추가 답변 (0개)

카테고리

Help CenterFile Exchange에서 Least Squares에 대해 자세히 알아보기

태그

Community Treasure Hunt

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

Start Hunting!

Translated by