Acceleration of Conjugate Gradient Algorithms

Neculai Andrei ()
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Neculai Andrei: Academy of Romanian Scientists

Chapter Chapter 5 in Nonlinear Conjugate Gradient Methods for Unconstrained Optimization, 2020, pp 161-175 from Springer

Abstract: Abstract It is common knowledge that in conjugate gradient algorithms, the search directions tend to be poorly scaled and consequently the line search must perform more function evaluations in order to obtain a suitable stepsize $$ \alpha_{k} $$.

Date: 2020
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DOI: 10.1007/978-3-030-42950-8_5

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