HIGHLIGHTS
- who: Naoki Fujita and colleagues from the Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo, Japan have published the Article: Pairing Optimization via Statistics: Algebraic Structure in Pairing Problems and Its Application to Performance Enhancement, in the Journal: Entropy 2023, 25, 146. of /2023/
- what: In contrast to these conventional methods, the authors propose a heuristic and fast algorithm at the 2 of 19 cost of some performance. The research proposes algorithms that work under the limited observation constraint, which is explained . . .
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