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Eigenvalue Analyses on the Memoryless Davidon–Fletcher–Powell Method Based on a Spectral Secant Equation

Fatemeh Dargahi (), Saman Babaie-Kafaki () and Zohre Aminifard ()
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Fatemeh Dargahi: Semnan University
Saman Babaie-Kafaki: Free University of Bozen-Bolzano
Zohre Aminifard: Semnan University

Journal of Optimization Theory and Applications, 2024, vol. 200, issue 1, No 14, 394-403

Abstract: Abstract The subject of this study is the analysis of the spectral secant equation for the well-known Davidon–Fletcher–Powell (DFP) quasi-Newton updating formula. More precisely, we plan to make the memoryless DFP formula well conditioned in several aspects. We first focus our efforts on obtaining eigenvalues of the DFP formula and directly analyzing its spectral condition number. Then, we proceed in a different direction by using the Byrd–Nocedal measure function as well. Lastly, we propose a hybrid adaptive formula for the spectral parameter of the method.

Keywords: Unconstrained optimization; Spectral secant equations; DFP update; Eigenvalue analysis; 65K05; 90C53; 15A23 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10957-023-02354-6

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