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Solving Nonlinear Systems of Equations Via Spectral Residual Methods: Stepsize Selection and Applications
- 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.
- Subjects :
- Numerical Analysis
Work (thermodynamics)
Spectral gradient method
Applied Mathematics
General Engineering
Approximate norm descent methods
Residual
Spectral gradient methods
Nonlinear systems of equation
Theoretical Computer Science
Nonlinear systems of equations
Computational Mathematics
Nonlinear system
Approximate norm descent method
Steplength selection
Computational Theory and Mathematics
Applied mathematics
Software
Selection (genetic algorithm)
Mathematics
Subjects
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