Approximation and Optimization: Algorithms, Complexity and Applications: 145 (Springer Optimization and Its Applications, 145) - Image 1

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

Name: Approximation and Optimization: Algorithms, Complexity and Applications: 145 (Springer Optimization and Its Applications, 145)
Brand: Springer
Price: 76.14 GBP
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Algorithms

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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. Review “This book would be suitable as a textbook at any level, but it could be of interest to researchers currently working on optimization problems.” (MAA Reviews, February 24, 2020) From the Back Cover 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.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3030127664
Category: Books > Subjects > Computing & Internet > Programming > Algorithms
Domain: Amazon UK
Release Date: 22 May 2019
Listed Since: 10 January 2019

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

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