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.
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Andrei, N. (2020). Hybrid and Parameterized Conjugate Gradient Methods. In: Nonlinear Conjugate Gradient Methods for Unconstrained Optimization. Springer Optimization and Its Applications, vol 158. Springer, Cham. https://doi.org/10.1007/978-3-030-42950-8_6
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DOI: https://doi.org/10.1007/978-3-030-42950-8_6
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