Hybrid and Parameterized Conjugate Gradient Methods

Neculai Andrei ()
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Neculai Andrei: Academy of Romanian Scientists

Chapter Chapter 6 in Nonlinear Conjugate Gradient Methods for Unconstrained Optimization, 2020, pp 177-204 from Springer

Abstract: Abstract Numerical experiments with standard conjugate gradient methods showed that the methods FR, DY, and CD have modest numerical performances, being affected by jamming, although they have strong convergence properties. On the other hand, the computational performances of HS, PRP, and LS methods are better, even if their convergence properties are weaker.

Date: 2020
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DOI: 10.1007/978-3-030-42950-8_6

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