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
TOPICAL NAME USED AS SUBJECT
Approximation theory -- Congresses
Mathematical optimization -- Congresses
LIBRARY OF CONGRESS CLASSIFICATION
Class number
QA221
Book number
.
A67
2019
PERSONAL NAME - SECONDARY RESPONSIBILITY
Demetriou, Ioannis C., editor
Pardalos, P. M. (Panos M.), 1954- editor
CORPORATE BODY NAME - ALTERNATIVE RESPONSIBILITY
Conference on Approximation and Optimization (2017 : Athens, Greece)
ORIGINATING SOURCE
Country
Iran
Agency
University of Tehran. Library of College of Science