Titlebook: Nonlinear Conjugate Gradient Methods for Unconstrained Optimization; Neculai Andrei Book 2020 The Editor(s) (if applicable) and The Author

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Three-Term Conjugate Gradient Methods,This chapter is dedicated to presenting three-term conjugate gradient methods. For solving the nonlinear unconstrained.

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Preconditioning of the Nonlinear Conjugate Gradient Algorithms,Preconditioning is a technique to accelerate the conjugate gradient algorithms. In Chapter ., the preconditioning of the linear conjugate gradient algorithm has been presented. For linear systems . preconditioning modifies the system of equations in order to improve the eigenvalue distribution of

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Discussions, Conclusions, and Large-Scale Optimization,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.

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Springer Optimization and Its Applicationshttp://image.papertrans.cn/n/image/667362.jpg

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Nonlinear Conjugate Gradient Methods for Unconstrained Optimization978-3-030-42950-8Series ISSN 1931-6828 Series E-ISSN 1931-6836

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Introduction: Overview of Unconstrained Optimization,se variables. When the number of variables is large, this problem becomes quite challenging. The most important gradient methods for solving unconstrained optimization problems are described in this chapter. These methods are iterative.