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河原林研究室
Showing the original Japanese · View translation
グラフを対象に、アルゴリズムと離散数学の基礎と理論を究める研究室。
AboutAbout the lab
応用を急がず、基礎と理論から。
河原林研究室は、
最初から
アルゴリズムの
離散数学の
Key terms
- 離散数学
- 整数や
グラフのように、とびとびの 値や 構造を 扱う 数学の 分野 - グラフ
- 点
（頂点）と、 点どうしを 結ぶ 線 （辺）で、 もの どうしの つながりを 表した もの - NP困難
- 効率よく
解く 方法が 見つかっていない、とくに 難しい 問題の 仲間である こと
NewsLab news
View More ↗ResearchResearch themes
アルゴリズムと
*Illustrative imageグラフ問題の高速で正確な解き方
グラフを
*Illustrative image実世界のグラフのためのアルゴリズム
実世界に
*Illustrative image種類を絞ったグラフでの高速化
平面グラフや
*Illustrative imageグラフアルゴリズムの機械学習への応用
グラフアルゴリズムの
MembersFaculty
河原林研究室の
- Professor河原林 健一
- Assistant Professor林 興養Publications ↗
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Social Network Visualization” Martin Grandjean / CC BY-SA 4.0 (cropped)
- グラフ問題の
高速で 正確な 解き方: “Petersen-graph” PSL27 / CC BY-SA 4.0 (cropped) - 実世界の
グラフの ための アルゴリズム: “Network Visualization” Martin Grandjean / CC BY-SA 4.0 (cropped) - 種類を
絞った グラフでの 高速化: “Four color theorem map of Germany 3” Tomwsulcer / CC0 (cropped) - グラフアルゴリズムの
機械学習への 応用: “Artificial Neural Network with Chip” mikemacmarketing / photo on flickr / CC BY 2.0 (cropped) - Related lab (杉山・横矢・石田研究室): “T-SNE Embedding of MNIST” Kyle McDonald / CC BY 2.0 (cropped)
- Related lab (吉本研究室): “150601 es 1s” JAMSTEC / CC BY-SA 4.0 (cropped)
- Related lab (品川研究室): “Alx source snippet” Tino / CC BY-SA 4.0 (cropped)
- Related lab (馬研究室): “Unmarked Nissan Rogue - Possible Test Autonomous Vehicle - San Francisco, May 2025 04” 9yz / CC BY 4.0 (cropped)
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