東大数理セミナー情報 --- 談話会・数理科学講演会

| 過去の記録 ～05/16 | 今後の予定 05/17～ | 談話会・セミナー ホーム | 東大数理 ホーム | 数理へのアクセス |

次回セミナー予定

2012年05月25日(金)

16:30 - 17:30 数理科学研究科棟(駒場) 002号室

旧記録は、上記セミナーURLにあります。
お茶&Coffee&お菓子: 16:00～16:30 (コモンルーム)。

Harald Niederreiter 氏 (RICAM, Austrian Academy of Sciences)

『 Quasi-Monte Carlo methods: deterministic is often better than random 』(ENGLISH)

Quasi-Monte Carlo (QMC) methods are deterministic analogs of statistical Monte Carlo methods in computational mathematics. QMC methods employ evenly distributed low-discrepancy sequences instead of the random samples used in Monte Carlo methods. For many types of computational problems, QMC methods are more efficient than Monte Carlo methods. After a general introduction to QMC methods, the talk focuses on the problem of constructing low-discrepancy sequences which has fascinating links with subjects such as finite fields, error-correcting codes, and algebraic curves.