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.

Meli E., Morini B., Porcelli M., Sgattoni C. (2022). Solving Nonlinear Systems of Equations Via Spectral Residual Methods: Stepsize Selection and Applications. JOURNAL OF SCIENTIFIC COMPUTING, 90(1), 1-41 [10.1007/s10915-021-01690-x].

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

Porcelli M.
;
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
Meli E., Morini B., Porcelli M., Sgattoni C. (2022). Solving Nonlinear Systems of Equations Via Spectral Residual Methods: Stepsize Selection and Applications. JOURNAL OF SCIENTIFIC COMPUTING, 90(1), 1-41 [10.1007/s10915-021-01690-x].
Meli E.; Morini B.; Porcelli M.; Sgattoni C.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/845572
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