Approximation and Optimization
Algorithms, Complexity and Applications
Panos M Pardalos editor Ioannis C Demetriou editor
Format:Paperback
Publisher:Springer Nature Switzerland AG
Published:14th Aug '20
Currently unavailable, and unfortunately no date known when it will be back
This paperback is available in another edition too:
- Hardback£89.99(9783030127664)
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.
“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)
ISBN: 9783030127695
Dimensions: unknown
Weight: unknown
237 pages
1st ed. 2019