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Gauss–Newton algorithm

Known as: Gauss-Newton method, Gauss–Newton method, Newton-Gauss 
The Gauss–Newton algorithm is used to solve non-linear least squares problems. It is a modification of Newton's method for finding a minimum of a… 
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Related topics

Related topics

32 relations
BackpropagationBerndt–Hall–Hall–Hausman algorithmCholesky decompositionConjugate gradient method

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
Damped Gauss-Newton algorithm for nonnegative Tucker decomposition
Algorithms based on alternating optimization for nonnegative Tucker decompositions (NTD) such as ALS, multiplicative least… 
2009
2009
Free Knots and Parity
We consider knot theories possessing a parity: each crossing is decreed odd or even according to some universal rule. If this… 
Highly Cited
2009
Highly Cited
2009
Wavelet-Based Breast Tumor Localization Technique Using a UWB Radar
This paper deals with the potential of ultra-wideband (UWB) microwave imaging for the detection and localization of breast cancer… 
2008
2008
A two-phase parameter estimation method for radiative transfer problems in paper industry applications
A two-phase method for estimation of the scattering and absorption coefficients and the asymmetry factor (σs, σa and g) in the… 
2004
2004
Pose Estimation via Gauss-Newton-on-manifold
. We present a Gauss-Newton-on-manifold approach for estimating the relative pose (position and orientation) between a 3D object… 
2001
2001
COMPARISON OF NEWTON-GAUSS WITH LEVENBERG-MARQUARDT ALGORITHM FOR SPACE RESECTION
Based on the perspective view of non-linear model fitting, a new algorithm for space resection based on Levenberg-Marquardt… 
2000
2000
Data fusion modeling for groundwater systems
1997
1997
Microwave imaging: Reconstructions from experimental data using conjugate gradient and enhancement by edge‐preserving regularization
A method for reconstructing the complex permittivity profile of lossy dielectric objects from measured scattered far‐field data… 
Highly Cited
1996
Highly Cited
1996
A hybrid EM/Gauss-Newton algorithm for maximum likelihood in mixture distributions
A faster alternative to the EM algorithm in finite mixture distributions is described, which alternates EM iterations with Gauss… 
1992
1992
Gauss-Newton based adaptive subspace estimation
An adaptive approach for estimating all (or some) of the orthogonal eigenvectors of the data covariance matrix (of a time series… 
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