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Editorial: Special Issue on Mathematical Optimization Theory and Operations Research

Tatiana Gruzdava, Yury Kochetov, Denis Sidorov

Abstract



The special issue focuses on selected papers presented at the annual international conference “Mathematical Optimization Theory and Operations Research” (MOTOR-2021), July 5 – 10, 2021, Lake Baikal region. It contains the selected extended talks, highlighting theoretical
and applied results aimed to show the use of the state-of-the-art operations research methods and machine learning technologies in various applications.

Keywords


optimization, machine learning, operations research, NP-hard problem

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