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Discussions, Conclusions, and Large-Scale Optimization

  • Neculai AndreiEmail author
Chapter
  • 35 Downloads
Part of the Springer Optimization and Its Applications book series (SOIA, volume 158)

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.

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Center for Advanced Modeling and OptimizationAcademy of Romanian ScientistsBucharestRomania

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