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Saito, Takumi*; Motokawa, Ryuhei; Okubo, Takahiro*; Miura, Daisuke*; Kumada, Takayuki
Environmental Science & Technology, 57(26), p.9802 - 9810, 2023/07
Times Cited Count：0 Percentile：0(Engineering, Environmental)Komatsu, Yuya*; Shimizu, Ryota*; Sato, Ryuhei*; Wilde, M.*; Nishio, Kazunori*; Katase, Takayoshi*; Matsumura, Daiju; Saito, Hiroyuki*; Miyauchi, Masahiro*; Adelman, J. R.*; et al.
Chemistry of Materials, 34(8), p.3616 - 3623, 2022/04
Times Cited Count：9 Percentile：75.5(Chemistry, Physical)Kobayashi, Taishi*; Nakajima, Shogo*; Motokawa, Ryuhei; Matsumura, Daiju; Saito, Takumi*; Sasaki, Takayuki*
Langmuir, 35(24), p.7995 - 8006, 2019/06
Times Cited Count：5 Percentile：22.5(Chemistry, Multidisciplinary)Miyazawa, Tadashi*; Asari, Yuki*; Miyoshi, Kazuyoshi*; Umeno, Daisuke*; Saito, Kyoichi*; Nagatani, Takeshi*; Yoshikawa, Naohito*; Motokawa, Ryuhei; Koizumi, Satoshi*
Nihon Kaisui Gakkai-Shi, 64(6), p.360 - 365, 2010/12
Miyamura, Hiroko; Shinano, Yuji*; Miyashiro, Ryuhei*; Saito, Takafumi*
Joho Shori Gakkai Rombunshi; Suri Moderuka To Oyo (Internet), 2(2), p.103 - 112, 2009/03
In branch-and-bound algorithms for integer programming, runtime behavior of the algorithms depends much on branching strategy. However, from a huge computation log of a large program, it is difficult to explore a key factor for effective branching. To analyze which factor of branching strategy is essential, we develop a system for visualization of growing process of a large branch-and-bound tree. The proposed system provides intuitive understanding how branching strategy affects branch-and-bound process.
Nishiyama, Satoshi*; Uehara, Shinichi*; Yano, Takao*; Saito, Ryuhei*; Uchida, Masahiro; Sawada, Atsushi; Takebe, Atsuji
JNC TY8400 2005-007, 70 Pages, 2005/03
JNC-TY8400-2005-007.pdf:2.24MB
None
Aoyagi, Noboru; Motokawa, Ryuhei; Saito, Takumi*; Okumura, Masahiko; Ikeda, Atsushi
no journal, ,
