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JOURNALS // Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki // Archive

Zh. Vychisl. Mat. Mat. Fiz., 2021 Volume 61, Number 5, Pages 787–799 (Mi zvmmf11238)

This article is cited in 2 papers

General numerical methods

New algorithms for solving nonlinear eigenvalue problems

W. Ganderab

a 8092 Zurich, Ramistrasse 1010, ETH, Switzerland
b Hong Kong Baptist University, 224 Waterloo Rd, Kowloon Tong, Hong Kong

Abstract: To solve a nonlinear eigenvalue problem we develop algorithms which compute zeros of $\det A(\lambda)=0$. We show how to apply third order iteration methods for that purpose. The necessary derivatives of the determinant are computed by algorithmic differentiation. Since many nonlinear eigenvalue problems have banded matrices we also present an algorithm which makes use of their structure.

Key words: nonlinear eigenvalue problem, third order methods, algorithmic differentiation.

UDC: 519.614

Received: 24.12.2020
Revised: 24.12.2020
Accepted: 14.01.2021

DOI: 10.31857/S0044466921050094


 English version:
Computational Mathematics and Mathematical Physics, 2021, 61:5, 761–773

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© Steklov Math. Inst. of RAS, 2026