Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

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.
2019
2019
Low-complexity Proximal Gauss-Newton Algorithm for Nonnegative Matrix Factorization
In this paper we propose a quasi-Newton algorithm for the celebrated nonnegative matrix factorization (NMF) problem. The proposed… 
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… 
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… 
2006
2006
Classification of wood surface texture based on Gauss-MRF model
The basal theory of Gauss-MRF is expounded and 2–5 order Gauss-MRF models are established. Parameters of the 2–5 order Gauss-MRF… 
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
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)