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Non-linear least squares

Known as: NLS, Nonlinear least squares, NLLS 
Nonlinear least squares is the form of least squares analysis used to fit a set of m observations with a model that is non-linear in n unknown… Expand
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Highly Cited
2013
Highly Cited
2013
The Levenberg-Marquardt method is a standard technique used to solve nonlinear least squares problems. Least squares problems… Expand
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Highly Cited
2010
Highly Cited
2010
The first € price and the £ and $ price are net prices, subject to local VAT. Prices indicated with * include VAT for books; the… Expand
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Highly Cited
2007
Highly Cited
2007
For given data ($t_i\ , y_i), i=1, \ldots ,m$ , we consider the least squares fit of nonlinear models of the form F($\underset… Expand
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Highly Cited
2007
Highly Cited
2007
The Gauss-Newton algorithm is an iterative method regularly used for solving nonlinear least squares problems. It is particularly… Expand
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Highly Cited
2004
2004
2004
Spreadsheet program Origin was used successfully to process experimental data of “Detecting Surface Tension of Solution”. The use… Expand
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Highly Cited
2004
Highly Cited
2004
  • T., B.
  • 2004
  • Corpus ID: 16872686
Tue, 01 Jan 2019 05:36:00 GMT training feedforward networks with the pdf Training Feedforward Neural Networks Using Genetic… Expand
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Highly Cited
2002
Highly Cited
2002
A new method for extracting seasonality information from time-series of satellite sensor data is presented. The method is based… Expand
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Highly Cited
2001
Highly Cited
2001
This paper describes least squares estimation algorithms used for tracking the physical location of radioactive sources in real… Expand
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Highly Cited
1999
Highly Cited
1999
 
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