Overview
- Provides new directions for further research
- Features highly interdisciplinary topics
- Serves as a reference to a large community of researchers
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 191)
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Table of contents (13 chapters)
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Front Matter
Keywords
- high-dimensional optimization
- deterministic global optimization
- probability theory
- data science
- machine learning
- statistical models data mining
- non-smooth optimization
- variational inequalities and equilibrium problems
- approximation and complexity in numerical optimization
- optimization in medicine
- energy systems
- complex network analysis
- Strasbourg-Zurich meetings
About this book
The book is a valuable source for graduate students as well as researchers working on Optimization, Probability and their various interconnections with a variety of other areas.
Chapter 12 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Editors and Affiliations
About the editors
Panos M. Pardalos serves as distinguished professor of industrial and systems engineering at the University of Florida. Additionally, he is the Paul and Heidi Brown Preeminent Professor of industrial and systems engineering. Professor Pardalos is also an affiliated faculty member of the computer and information science department, the Hellenic Studies Center, and the biomedical engineering program. Additionally, he serves as the director of the Center for Applied Optimization. Professor Pardalos is a world leading expert in global and combinatorial optimization. His recent research interests include network design problems, optimization in telecommunications, ecommerce, data mining, biomedical applications, and massive computing. Panos Pardalos is a prolific author who lectures all over the world. He is the recipient of a multitude of fellowships and awards, the most recent of which is the Humboldt Research Award (2018).
Andrei Raigorodskii is a Federal Professor of Mathematics at the Moscow Institute of Physics and Technology (MIPT) where he is the Director of the Phystech-School of Applied Mathematics and Computer Science, the Head of the Discrete Mathematics Department, the Head of the Laboratory of Advanced Combinatorics and Network Applications, as well as the Head of the Laboratory of Applied Research MIPT-Sberbank. He is also the Head of the Caucasus Mathematical Center. He lectures at MIPT, MSU, HSE and has published about 200 papers and 20 books. He is the Editor-in-Chief of the Moscow Journal of Combinatorics and Number Theory. In 2011,he was awarded the 2011 Russian President's Prize in Science and Innovation for young scientists.
Michael Th. Rassias is a Research Fellow at the University of Zürich and a visiting researcher at the Institute for Advanced Study, Princeton. While conducting postdoctoral research at the Department of Mathematics of Princeton University in 2014-2015, he prepared with John F. Nash, Jr. the volume "Open Problems in Mathematics", Springer, 2016. He has received several awards in mathematical problem-solving competitions, including a Silver medal at the International Mathematical Olympiad of 2003 in Tokyo. In 2014 he was awarded with the Notara Prize by the Academy of Athens. He has authored and edited several books with Springer. His current research interests lie in mathematical analysis, analytic number theory, and more specifically the Riemann Hypothesis, Goldbach’s conjecture, the distribution of prime numbers, approximation theory, functional equations andanalytic inequalities.
Bibliographic Information
Book Title: High-Dimensional Optimization and Probability
Book Subtitle: With a View Towards Data Science
Editors: Ashkan Nikeghbali, Panos M. Pardalos, Andrei M. Raigorodskii, Michael Th. Rassias
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-3-031-00832-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-00831-3Published: 05 August 2022
Softcover ISBN: 978-3-031-00834-4Published: 05 August 2023
eBook ISBN: 978-3-031-00832-0Published: 04 August 2022
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: VIII, 417
Number of Illustrations: 7 b/w illustrations, 33 illustrations in colour
Topics: Optimization, Probability Theory and Stochastic Processes, IT in Business, Applications of Mathematics