Research output per year
Research output per year
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A parameterized view to the robust recoverable base problem of matroids under structural uncertainty
Ito, T., Kakimura, N., Kamiyama, N., Kobayashi, Y. & Okamoto, Y., May 2022, In: Operations Research Letters. 50, 3, p. 370-375 6 p.Research output: Contribution to journal › Article › peer-review
Open Access -
MAS Network: Surrogate Neural Network for Multi-agent Simulation
Yamada, H., Shirahashi, M., Kamiyama, N. & Nakajima, Y., 2022, Multi-Agent-Based Simulation XXII - 22nd International Workshop, MABS 2021, Revised Selected Papers. Van Dam, K. H. & Verstaevel, N. (eds.). Springer Science and Business Media Deutschland GmbH, p. 113-124 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13128 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Monotone edge ips to an orientation of maximum edge-connectivity a la Nash-Williams
Ito, T., Iwamasa, Y., Kakimura, N., Kamiyama, N., Kobayashi, Y., Maezawa, S. I., Nozaki, Y., Okamoto, Y. & Ozeki, K., 2022, ACM-SIAM Symposium on Discrete Algorithms, SODA 2022. Association for Computing Machinery, p. 1342-1355 14 p. (Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms; vol. 2022-January).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution