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.

Solving Nonlinear Systems of Equations Via Spectral Residual Methods: Stepsize Selection and Applications / Enrico Meli, Benedetta Morini, Margherita Porcelli, Cristina Sgattoni. - In: JOURNAL OF SCIENTIFIC COMPUTING. - ISSN 0885-7474. - STAMPA. - 90:(2022), pp. 1-41. [10.1007/s10915-021-01690-x]

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

Enrico Meli;Benedetta Morini;Margherita Porcelli
;
2022

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.
2022
90
1
41
Enrico Meli, Benedetta Morini, Margherita Porcelli, Cristina Sgattoni
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1250615
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