We have analyzed the important problem of contemporary high-energy physics concerning the estimation of some parameters of the observed complex phenomenon. The standard statistical method of the data ...

Abstract: We propose a decision-making model under uncertainty to minimize the ex-ante regret in a distributionally robust manner using the Wasserstein metric, where the regret is defined as the ...

Abstract: In modern communication systems, the demand for efficient and secure data transmission has become increasingly important due to the rapid growth of wireless technologies and connected ...

In the present paper we introduce new heuristic methods for the state minimization of nondeterministic finite automata. These methods are based on the classical Kameda-Weiner algorithm joined with ...

The software and data in this repository are a snapshot of the software and data that were used in the research reported in the paper Reinforcement learning driven heuristic for two-dimensional ...

Kohlberg, Elon. "The Nucleolus as a Solution to a Minimization Problem." SIAM Journal on Applied Mathematics 23, no. 1 (July 1972): 34 – 39.

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