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Gauss–Newton algorithm
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11	On a Global Optimization Technique for Solving a Nonlinear Hyperboloid Least Squares Problem Leticia Velázquez1, Miguel Argáez1, Brenda Bueno2, Boguslaw Stec3 The University of Texas at El Paso 500 West University Ave. Add to Reading List Source URL: www.math.utep.edu Language: English - Date: 2008-01-16 14:45:52 Least squares Regression analysis Operations research Convex optimization Levenberg–Marquardt algorithm Non-linear least squares Nonlinear programming Global optimization Gauss–Newton algorithm Mathematical optimization Numerical analysis Statistics
12	E04 – Minimizing or Maximizing a Function E04GBF NAG Library Routine Document E04GBF Add to Reading List Source URL: nag.com Language: English - Date: 2013-01-25 10:45:00 Regression analysis Least squares Mathematical optimization Subroutine Derivative Gauss–Newton algorithm ALGOL 68 Matrix Degrees of freedom Computer programming Software engineering Computing
13	Model parametrization strategies for Newton-based acoustic full waveform inversion Amsalu Y. Anagaw, University of Alberta, Edmonton, Canada, [removed] Summary This paper studies the effects of model parameteri Add to Reading List Source URL: geoconvention.org Language: English - Date: 2014-06-08 22:33:24 Least squares Mathematical optimization Regression analysis Matrix theory Gauss–Newton algorithm Matrix Hessian matrix Eigenvalues and eigenvectors Inverse problem Algebra Mathematics Linear algebra
14	Table of Contents I Preliminaries 1 Add to Reading List Source URL: nmr.mgh.harvard.edu Language: English - Date: 2005-03-16 22:57:21 Mathematical analysis Computational science Least squares Numerical analysis Electromagnetism Computational electromagnetics Finite-difference time-domain method Gauss–Newton algorithm Iterative reconstruction Mathematics Algebra Electrodynamics
15	Full waveform inversion by deconvolution gradient method Fuchun Gao, Paul Williamson, Henri Houllevigue, Total), 2012 Lei Fu Rice University Add to Reading List Source URL: www.trip.caam.rice.edu Language: English* - Date: 2012-11-26 10:32:15 Mathematical optimization Regression analysis Numerical linear algebra Deconvolution Gradient descent Gauss–Newton algorithm Gradient method ESCI Numerical analysis Signal processing Least squares
16	Elastodynamic FWI efficiency study with partial stacking in 2D Vladimir N. Zubov, CREWES, University of Calgary [removed] and Gary F. Margrave, CREWES, University of Calgary [removed] Add to Reading List Source URL: www.geoconvention.com Language: English* - Date: 2014-04-20 15:59:25 Linear elasticity Preconditioner Wavelet Mathematics Physics Applied mathematics Numerical linear algebra Gauss–Newton algorithm Stack
17	Fekedulegn, Mac33(4) Siurtainresearch & Colbert notes Silva Fennica Add to Reading List Source URL: www.silvafennica.fi Language: English - Date: 2013-05-07 07:30:17 Nonlinear regression Linear model Logistic function Estimation theory Differential equation Least squares Gauss–Newton algorithm Statistics Regression analysis Linear regression
18	Statistical Quasi-Newton: A New Look at Least-Change Scott Vander Wiel and Add to Reading List Source URL: www.stat.lanl.gov Language: English - Date: 2007-08-30 17:11:19 Quasi-Newton method Mathematical optimization Iteration Hessian matrix Gauss–Newton algorithm Limited-memory BFGS Mathematical analysis Mathematics Numerical analysis
19	j489 Index a accuracy – avoiding numerical problems 20 Add to Reading List Source URL: www.wiley-vch.de Language: English - Date: 2013-11-12 21:06:32 Interior point method Quadratic programming Penalty method Linear programming Quasi-Newton method Lagrange multiplier Gauss–Newton algorithm Karush–Kuhn–Tucker conditions Duality Numerical analysis Mathematical optimization Mathematical analysis
20	Genetic Optimization Using Derivatives∗ by Jasjeet S. Sekhon† and Walter R. Mebane, Jr.‡ Add to Reading List Source URL: sekhon.berkeley.edu Language: English - Date: 2002-07-06 02:24:26 Cybernetics Operations research Genetic algorithms Quasi-Newton method BFGS method Evolutionary algorithm Gauss–Newton algorithm Linear programming Mutation Mathematical optimization Numerical analysis Applied mathematics

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