Levenberg–Marquardt algorithm
id:
levenberg-marquardt-algorithm-271-14459998
title:
Levenberg–Marquardt algorithm
text:
In mathematics and computing, the Levenberg–Marquardt algorithm, also known as the damped least-squares (DLS) method, is used to solve non-linear least squares problems. These minimization problems arise especially in least squares curve fitting. The LMA interpolates between the Gauss–Newton algorithm (GNA) and the method of gradient descent. The LMA is more robust than the GNA, which means that in many cases it finds a solution even if it starts very far off the final minimum. For well-behaved
brand slug:
wiki
category slug:
encyclopedia
description:
Algorithm used to solve non-linear least squares problems
original url:
https://en.wikipedia.org/wiki/Levenberg%E2%80%93Marquardt_algorithm
date created:
date modified:
2024-04-26T07:50:07Z
main entity:
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image:
fields total:
13
integrity:
14