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Solving Nonlinear Systems of Equations Via Spectral Residual Methods: Stepsize Selection and Applications

Authors :
Margherita Porcelli
Benedetta Morini
Cristina Sgattoni
Enrico Meli
Meli E.
Morini B.
Porcelli M.
Sgattoni C.
Source :
Journal of scientific computing 90 (2021). doi:10.1007/s10915-021-01690-x, info:cnr-pdr/source/autori:Meli E.; Morini B.; Porcelli M.; Sgattoni C./titolo:Solving nonlinear systems of equations via spectral residual methods: stepsize selection and applications/doi:10.1007%2Fs10915-021-01690-x/rivista:Journal of scientific computing/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:90
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

Abstract

Spectral residual methods are derivative-free and low-cost per iteration procedures for solving nonlinear systems of equations. They are generally coupled with a nonmonotone linesearch strategy and compare well with Newton-based methods for large nonlinear systems and sequences of nonlinear systems. The residual vector is used as the search direction and choosing the steplength has a crucial impact on the performance. In this work we address both theoretically and experimentally the steplength selection and provide results on a real application such as a rolling contact problem.

Details

ISSN :
15737691 and 08857474
Volume :
90
Database :
OpenAIRE
Journal :
Journal of Scientific Computing
Accession number :
edsair.doi.dedup.....2348af8925a7f3f0c7ab7cd52ef9aa7e
Full Text :
https://doi.org/10.1007/s10915-021-01690-x