Jump to main content
博士論文

分子シミュレーションに特化した効率的な乱数生成手法の提案と深層学習を用いた乱数生成の有効性の検討 (本文)

Icons representing 博士論文

分子シミュレーションに特化した効率的な乱数生成手法の提案と深層学習を用いた乱数生成の有効性の検討 (本文)

Material type
博士論文
Author
岡田, 清志郎
Publisher
慶應義塾大学大学院理工学研究科
Publication date
-
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
慶應義塾大学,博士 (工学)
View All

Notes on use

Note (General):

type:text

Search by Bookstore

Holdings of Libraries in Japan

This page shows libraries in Japan other than the National Diet Library that hold the material.

Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.

other

  • Keio Associated Repository of Academic resources

    Digital
    You can check the holdings of institutions and databases with which Institutional Repositories DataBase(IRDB)(Institutional Repository) is linked at the site of Institutional Repositories DataBase(IRDB)(Institutional Repository).

Bibliographic Record

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Digital

Material Type
博士論文
Author/Editor
岡田, 清志郎
Author Heading
Publication, Distribution, etc.
Alternative Title
ブンシ シミュレーション ニ トッカシタ コウリツテキナ ランスウ セイセイ シュホウ ノ テイアン ト シンソウ ガクシュウ オ モチイタ ランスウ セイセイ ノ ユウコウセイ ノ ケントウ (ホンブン)
Bunshi shimyurēshon ni tokkashita kōritsutekina ransū seisei shuhō no teian to shinsō gakushū o mochiita ransū seisei no yūkōsei no kentō (honbun)
Proposal of an efficient random number generation method specialized for molecular simulations and examination of the efficacy of random number generation using deep learning
Degree grantor/type
慶應義塾大学
Date Granted
2024-02-29
Dissertation Number
甲第6209号
Degree Type
博士 (工学)