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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.
2014
2014
Simultaneous Source for non-uniform data variance and missing data
The use of simultaneous sources in geophysical inverse problems has revolutionized the ability to deal with large scale data sets… 
2011
2011
Fast damped gauss-newton algorithm for sparse and nonnegative tensor factorization
Alternating optimization algorithms for canonical polyadic decomposition (with/without nonnegative constraints) often accompany… 
2010
2010
Resistivity Structures of Lahendong and Kamojang Geothermal Systems Revealed from 3-D Magnetotelluric Inversions, A Comparative Study
Three-dimensional magnetotelluric (MT) inversions of Lahendong and Kamojang datasets have been performed to obtain their… 
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… 
2005
2005
Application of neural network based on simulated annealing Gauss-Newton algorithm to seepage back analysis
Simulated Annealing Gauss-Newton algorithm applied to neural network is put forward. It overcomes some limitation of 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… 
2000
2000
Fast Second-Order Gradient Descent via O(n) Curvature Matrix-Vector Products
We propose a generic method for iteratively approximating various second-order gradient steps - Newton, Gauss-Newton, Levenberg… 
1995
1995
Smooth Hinging Hyperplanes - An Alternative to Neural Nets
Recently a novel approach to nonlinear function approximation using hinging hyperplanes, was reported by L. Breiman [3]. In this… 
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… 
1980
1980
A Study of the Gauss-Newton Method for the Solution of Nonlinear Least Squares Problems