Approximation and Optimization: Algorithms, Complexity and Applications: 145 (Springer Optimization and Its Applications) - Tapa blanda

Libro 135 de 176: Springer Optimization and Its Applications
 
9783030127695: Approximation and Optimization: Algorithms, Complexity and Applications: 145 (Springer Optimization and Its Applications)
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ISBN 10: 3030127699 ISBN 13: 9783030127695
Editorial: Springer, 2020

Sinopsis

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.


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De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2020
Idioma
Inglés
ISBN 10 
3030127699
ISBN 13 
9783030127695
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
248
Editor
Demetriou Ioannis C., Pardalos Panos M.
Contacto del fabricante
Springer Nature Customer Service Center GmbH
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Europaplatz 3,69115 Heidelberg, Germany
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Alemania

Otras ediciones populares con el mismo título

9783030127664: Approximation and Optimization: Algorithms, Complexity and Applications: 145 (Springer Optimization and Its Applications, 145)

Edición Destacada

ISBN 10:  3030127664 ISBN 13:  9783030127664
Editorial: Springer, 2019
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