Levenberg–Marquardt algorithm

Known as: Levmar, Levenberg Marquardt, Levenberg-Marquardt algorithm 
In mathematics and computing, the Levenberg–Marquardt algorithm (LMA), also known as the damped least-squares (DLS) method, is used to solve non… (More)
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2014
2014
Mathematical Optimization refers to finding the minimum or maximum value from a desired set of outcomes. This paper discusses… (More)
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2010
2010
The Levenberg Marquardt (LM) algorithm is a popular nonlinear least squares optimization technique for solving data matching… (More)
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2009
2009
This paper describes a parallel Levenberg-Marquardt algorithm that has been implemented as part of a larger system to support the… (More)
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2009
2009
In automatic image mosaic, the problem of solving and optimizing the modeled image parameters is usually a least square problem… (More)
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2006
2006
This paper presents Levenberg Marquardt algorithm based multi-layer feed-forward neural network for economic load dispatch, which… (More)
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Highly Cited
2005
Highly Cited
2005
The Levenberg-Marquardt (LM) algorithm is an iterative technique that locates the minimum of a function that is expressed as the… (More)
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Highly Cited
2004
Highly Cited
2004
The Levenberg-Marquardt (LM) algorithm is the most widely used optimization algorithm. It outperforms simple gradient descent and… (More)
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Highly Cited
2002
Highly Cited
2002
Although the Levenberg-Marquardt (LM) algorithm has been extensively applied as a neural-network training method, it suffers from… (More)
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Highly Cited
2000
Highly Cited
2000
The Levenberg—Marquardt algorithm is often superior to other training algorithms in off-line applications. This motivates the… (More)
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Highly Cited
1994
Highly Cited
1994
The Marquardt algorithm for nonlinear least squares is presented and is incorporated into the backpropagation algorithm for… (More)
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