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Mathematical Optimization Theory and Operations Research -

Mathematical Optimization Theory and Operations Research

19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6–10, 2020, Revised Selected Papers
Buch | Softcover
XVI, 438 Seiten
2020 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-58656-0 (ISBN)
CHF 74,85 inkl. MwSt
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.

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

Erscheinungsdatum
Reihe/Serie Communications in Computer and Information Science
Zusatzinfo XVI, 438 p. 109 illus., 31 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 694 g
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Mathematik / Informatik Mathematik Computerprogramme / Computeralgebra
Schlagworte Applications • Approximation Theory • Artificial Intelligence • clustering algorithms • Clustering Methods • Combinatorial Mathematics • combinatorial optimization • Combinatorial Problems • Computer Networks • Computer Science • Computer systems • computer vision • conference proceedings • Correlation Analysis • Data Mining • evolutionary algorithms • Genetic algorithms • graph theory • Informatics • machine learning • Numerical Methods • Optimization • Optimization Problems • Research • theoretical computer science
ISBN-10 3-030-58656-1 / 3030586561
ISBN-13 978-3-030-58656-0 / 9783030586560
Zustand Neuware
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