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Springer Optimization and Its Applications

Approximation and Optimization

Algorithms, Complexity and Applications

Editors: Demetriou, Ioannis C., Pardalos, Panos M. (Eds.)

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  • Presents approximation-related algorithms and their relevant applications
  • Contains new approaches and techniques to data-dependent approximation
  • Highlights new research results
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eBook $84.99
price for USA in USD (gross)
  • ISBN 978-3-030-12767-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.99
price for USA in USD
  • ISBN 978-3-030-12766-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.


Table of contents (11 chapters)

Table of contents (11 chapters)
  • Introduction

    Pages 1-4

    Demetriou, Ioannis C. (et al.)

  • Evaluation Complexity Bounds for Smooth Constrained Nonlinear Optimization Using Scaled KKT Conditions and High-Order Models

    Pages 5-26

    Cartis, Coralia (et al.)

  • Data-Dependent Approximation in Social Computing

    Pages 27-34

    Wu, Weili (et al.)

  • Multi-Objective Evolutionary Optimization Algorithms for Machine Learning: A Recent Survey

    Pages 35-55

    Alexandropoulos, Stamatios-Aggelos N. (et al.)

  • No Free Lunch Theorem: A Review

    Pages 57-82

    Adam, Stavros P. (et al.)

Buy this book

eBook $84.99
price for USA in USD (gross)
  • ISBN 978-3-030-12767-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.99
price for USA in USD
  • ISBN 978-3-030-12766-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Approximation and Optimization
Book Subtitle
Algorithms, Complexity and Applications
Editors
  • Ioannis C. Demetriou
  • Panos M. Pardalos
Series Title
Springer Optimization and Its Applications
Series Volume
145
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-12767-1
DOI
10.1007/978-3-030-12767-1
Hardcover ISBN
978-3-030-12766-4
Series ISSN
1931-6828
Edition Number
1
Number of Pages
X, 237
Number of Illustrations
29 b/w illustrations, 27 illustrations in colour
Topics