On the convergence of an inexact Gauss-Newton trust-region method for nonlinear least-squares problems with simple bounds

From MaRDI portal
Publication:1941187

DOI10.1007/s11590-011-0430-zzbMath1268.90091OpenAlexW2118785781MaRDI QIDQ1941187

Margherita Porcelli

Publication date: 12 March 2013

Published in: Optimization Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11590-011-0430-z



Related Items

Model-Based Derivative-Free Methods for Convex-Constrained Optimization, Inexact Gauss-Newton like methods for injective-overdetermined systems of equations under a majorant condition, Preconditioning of Active-Set Newton Methods for PDE-constrained Optimal Control Problems, Preconditioning PDE-constrained optimization with \(L^1\)-sparsity and control constraints, An inexact Newton-like conditional gradient method for constrained nonlinear systems, Approximate Gauss-Newton methods for solving underdetermined nonlinear least squares problems, A new inexact SQP algorithm for nonlinear systems of mixed equalities and inequalities, An inexact projected LM type algorithm for solving convex constrained nonlinear equations, On affine-scaling inexact dogleg methods for bound-constrained nonlinear systems, A majorization-minimization-based method for nonconvex inverse rig problems in facial animation: algorithm derivation, Approximate norm descent methods for constrained nonlinear systems, Superlinearly convergent exact penalty methods with projected structured secant updates for constrained nonlinear least squares, Modified inexact Levenberg-Marquardt methods for solving nonlinear least squares problems, New updates of incomplete LU factorizations and applications to large nonlinear systems, A new trust region method for solving least-square transformation of system of equalities and inequalities, A brief survey of methods for solving nonlinear least-squares problems, Quasi-Newton methods for constrained nonlinear systems: complexity analysis and applications, A Newton conditional gradient method for constrained nonlinear systems, Finite element model updating for structural applications, Gauss-Newton methods with approximate projections for solving constrained nonlinear least squares problems, An affine-scaling derivative-free trust-region method for solving nonlinear systems subject to linear inequality constraints


Uses Software


Cites Work