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Discussions, Conclusions, and Large-Scale Optimization

In: Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

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  • Neculai Andrei

    (Academy of Romanian Scientists)

Abstract

Having a very simple computational scheme with a very well elaborated convergence theory and requiring modest computational resources for their implementation in computer codes, the conjugate gradient methods are of prime importance for solving large-scale unconstrained optimization problems and real applications.

Suggested Citation

  • Neculai Andrei, 2020. "Discussions, Conclusions, and Large-Scale Optimization," Springer Optimization and Its Applications, in: Nonlinear Conjugate Gradient Methods for Unconstrained Optimization, chapter 0, pages 415-431, Springer.
    • Handle: RePEc:spr:spochp:978-3-030-42950-8_12
    DOI: 10.1007/978-3-030-42950-8_12
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