Téléchargez le livre : Approximation and Optimization

Approximation and Optimization

Algorithms, Complexity and Applications de

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Éditeur :

Springer


Collection :

Springer Optimization and Its Applications

Paru le : 2019-05-10

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Description


This book focuses on the development of approximation-related algorithms and their relevant applications. Individual contributions are written by leading experts and reflect emerging directions and connections in data approximation and optimization. Chapters discuss state of the art topics with highly relevant applications throughout science, engineering, technology and social sciences. Academics, researchers, data science practitioners, business analysts, social sciences investigators and graduate students will find the number of illustrations, applications, and examples provided useful.
This volume is based on the conference Approximation and Optimization: Algorithms, Complexity, and Applications, which was held in the National and Kapodistrian University of Athens, Greece, June 29–30, 2017. The mix of survey and research content includes topics in approximations to discrete noisy data; binary sequences; design of networks and energy systems; fuzzy control; large scale optimization; noisy data; data-dependent approximation; networked control systems; machine learning ; optimal design; no free lunch theorem; non-linearly constrained optimization; spectroscopy.
Pages
237 pages
Collection
Springer Optimization and Its Applications
Parution
2019-05-10
Marque
Springer
EAN papier
9783030127664
EAN PDF
9783030127671
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
5100 Ko
Prix
63,29 €
EAN EPUB
9783030127671
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
16282 Ko
Prix
63,29 €

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