Mathematical Optimization Theory and Operations Research

Discover the cutting-edge insights of "Mathematical Optimization Theory and Operations Research," authored by Alexander Kononov and published by Springer Nature Switzerland AG in 2020. This comprehensive volume features the proceedings from the 19th International Conference on Mathematical Optimization Theory and Operations Research (MOTOR 2020), held in Novosibirsk, Russia, in July 2020. With a total of 471 pages, this book includes 31 meticulously reviewed full papers selected from an impressive pool of 102 submissions, showcasing the latest advancements in optimization theory and operations research. Ideal for researchers, practitioners, and students in computer science and information theory, this edition serves as an essential resource for understanding contemporary challenges and solutions in the field. Dive into the world of mathematical optimization and enhance your knowledge with this authoritative text.