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Can I read Approximation and Optimization: Algorithms, Complexity and Applications (Springer Optimization and Its Applications, 145) on EtoBox?

Approximation and Optimization: Algorithms, Complexity and Applications (Springer Optimization and Its Applications, 145) by Ioannis C. Demetriou, Panos M. Pardalos is a nonfiction available to read on EtoBox.

What is Approximation and Optimization: Algorithms, Complexity and Applications (Springer Optimization and Its Applications, 145) about?

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.

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

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Ioannis C. Demetriou, Panos M. Pardalos
Publisher
Springer International Publishing : Imprint: Springer
Published
2019
Language
EN
ISBN
9783030127671
Category
nonfiction
Subjects
Mathematics, Computer Science, Programming

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