Approximation and Optimization: Algorithms, Complexity and Applications - Couverture souple

Couverture souple

ISBN 10 : 3030127699 ISBN 13 : 9783030127695

Editeur : Springer, 2020

Synopsis

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.

Détails de l'édition

• Éditeur: Springer
• Date d'édition: 2020
• Langue: anglais
• ISBN 10: 3030127699
• ISBN 13: 9783030127695
• Reliure: Broché
• Nombre de pages: 248
• Éditeur: Demetriou Ioannis C., Pardalos Panos M.
• Coordonnées du fabricant: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Allemagne