EAN: 9783030127664

APPROXIMATION AND OPTIMIZATION GEBUNDEN

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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