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  5. Mathematical Optimization Theory and Operations Research: Recent Trends

Mathematical Optimization Theory and Operations Research: Recent Trends

By Michael Khachay

part of the Communications in Computer and Information Science series

Mathematical Optimization Theory and Operations Research: Recent Trends by Michael Khachay Save 16% from RPP Save 16%
About Mathematical Optimization Theory and Operations Research: Recent Trends

This book constitutes refereed proceedings of the 22nd International Conference on Mathematical Optimization Theory and Operations Research: Recent Trends, MOTOR 2023, held in Ekaterinburg, Russia, during July 2¿8, 2023. The 28 full papers and one invited paper presented in this volume were carefully reviewed and selected from a total of 61 submissions. The papers in the volume are organized according to the following topical headings: mathematical programming; stochastic optimization; discrete and combinatorial optimization; operations research; optimal control and mathematical economics; and optimization in machine learning.

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  • Language:
  • English
  • ISBN:
  • 9783031432569
  • Binding:
  • Paperback
  • Pages:
  • 424
  • Published:
  • September 20, 2023
  • Edition:
  • 23001
  • Dimensions:
  • 155x23x235 mm.
  • Weight:
  • 639 g.
Delivery: 2-4 weeks
Expected delivery: December 15, 2024

About Michael Khachay

View all books by Michael Khachay

Description of Mathematical Optimization Theory and Operations Research: Recent Trends

This book constitutes refereed proceedings of the 22nd International Conference on Mathematical Optimization Theory and Operations Research: Recent Trends, MOTOR 2023, held in Ekaterinburg, Russia, during July 2¿8, 2023.
The 28 full papers and one invited paper presented in this volume were carefully reviewed and selected from a total of 61 submissions. The papers in the volume are organized according to the following topical headings: mathematical programming; stochastic optimization; discrete and combinatorial optimization; operations research; optimal control and mathematical economics; and optimization in machine learning.

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