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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

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BackpropagationBerndt–Hall–Hall–Hausman algorithmCholesky decompositionConjugate gradient method

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
A Globally Convergent Gauss-Newton Algorithm for AC Optimal Power Flow
We propose a globally convergent and robust Gauss-Newton algorithm for finding a (local) optimal solution of a non-convex and… 
2012
2012
Motion-without-structure: Real-time multipose optimization for accurate visual odometry
State of the art visual odometry systems use bundle adjustment (BA) like methods to jointly optimize motion and scene structure… 
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… 
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… 
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
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… 
1980
1980
A Study of the Gauss-Newton Method for the Solution of Nonlinear Least Squares Problems