Use of the minimum norm search direction in a nonmonotone version of the Gauss-Newton method
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Publication:597160
DOI10.1023/B:JOTA.0000005041.99777.afzbMath1082.65060OpenAlexW2073627475MaRDI QIDQ597160
Francesco Lampariello, Marco Sciandrone
Publication date: 6 August 2004
Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1023/b:jota.0000005041.99777.af
algorithmglobal convergencenumerical examplesGauss-Newton methodminimum norm solutionnonlinear least-squares problemsnonmonotone line search techniques
Related Items (5)
A truncated nonmonotone Gauss-Newton method for large-scale nonlinear least-squares problems ⋮ Adaptive nonmonotone line search method for unconstrained optimization ⋮ Lanczos conjugate-gradient method and pseudoinverse computation on indefinite and singular systems ⋮ An unconstrained optimization method using nonmonotone second order Goldstein's line search ⋮ A truncated conjugate gradient method with an inexact Gauss-Newton technique for solving nonlinear systems
Uses Software
Cites Work
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