A secant method for nonlinear least-squares minimization
type: Item
instance of: scholarly article
title: A secant method for nonlinear least-squares minimization
zbMATH Open document ID: 1245.90128
published in: Computational Optimization and Applications
publication date: 2012-07-10T00:00:00Z
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 90C53
zbMATH DE Number: 6053912
zbMATH Keywords: nonlinear least square problems
zbMATH Keywords: quasi-Newton method
zbMATH Keywords: automatic differentiation
describes a project that uses: immoptibox
describes a project that uses: ADMAT
describes a project that uses: minpack
MaRDI profile type: Publication
full work available at URL: s10589-010-9336-4
OpenAlex ID: W2129835959
cites work: A Class of Methods for Solving Nonlinear Simultaneous Equations
cites work: The Convergence of a Class of Double-rank Minimization Algorithms 1. General Considerations
cites work: The Convergence of an Algorithm for Solving Sparse Nonlinear Systems
cites work: The Efficient Computation of Structured Gradients using Automatic Differentiation
cites work: Trust Region Methods
cites work: Q5666076
cites work: Q4868581
cites work: A new approach to variable metric algorithms
cites work: Some Convergence Properties of Broyden’s Method
cites work: A Family of Variable-Metric Methods Derived by Variational Means
cites work: Q5689624
cites work: Q4003880
cites work: Testing Unconstrained Optimization Software
cites work: Q4403648
cites work: Conditioning of Quasi-Newton Methods for Function Minimization
cites work: Generalized inverses: theory and computations
DOI: 10.1007/S10589-010-9336-4
author: Wei Xu
author: Thomas F. Coleman
author: Gang Liu
description: scientific article; zbMATH DE number 6053912