Mathematical Optimization Theory and Operations Research: 19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6–10, 2020, Revised Selected Papers
Author:   Yury Kochetov ,  Igor Bykadorov ,  Tatiana Gruzdeva
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   1275
ISBN:  

9783030586560


Pages:   438
Publication Date:   14 September 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Mathematical Optimization Theory and Operations Research: 19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6–10, 2020, Revised Selected Papers


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Overview

This book constitutes refereed proceedings of the 19th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2020, held in Novosibirsk, Russia, in July 2020. Due to the COVID-19 pandemic the conference was held online.    The 25 full papers and 8 short papers presented in this volume were carefully reviewed and selected from a total of 102 submissions. The papers in the volume are organised according to the following topical headings: ​combinatorial optimization; mathematical programming; global optimization; game theory and mathematical economics; heuristics and metaheuristics; machine learning and data analysis.

Full Product Details

Author:   Yury Kochetov ,  Igor Bykadorov ,  Tatiana Gruzdeva
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   1275
Weight:   0.694kg
ISBN:  

9783030586560


ISBN 10:   3030586561
Pages:   438
Publication Date:   14 September 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Combinatorial Optimization.- Mathematical Programming.- Global Optimization.- Game Theory and Mathematical Economics.- Heuristics and Metaheuristics.- Machine Learning and Data Analysis.

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