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Tous les ebooks de Neculai Andrei en PDF et EPUB

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A Derivative-free Two Level Random Search Method for Unconstrained Optimization

Neculai Andrei

The book is intended for graduate students and researchers in mathematics, computer science, and operational research.The book presents a new derivative-free optimization method/algorithm based on randomly generated trial points in specified domains and where the...

2021-03-31 |

Springer

Collection :

SpringerBriefs in Optimization



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63,29 l'ebook
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Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

Neculai Andrei

Two approaches are known for solving large-scale unconstrained optimization problems—the limited-memory quasi-Newton method (truncated Newton method) and the conjugate gradient method. This is the first book to detail conjugate gradient methods, showing...




137,14 l'ebook