文献
J-GLOBAL ID:202202254505959960
整理番号:22A0980064
ラテンハイパキューブサンプリング法の修正に基づく大規模大気汚染モデルの感度研究【JST・京大機械翻訳】
Sensitivity Study of Large-Scale Air Pollution Model Based on Modifications of the Latin Hypercube Sampling Method
著者 (7件):
Ostromsky Tzvetan
(Department of Parallel Algorithms, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria)
,
Todorov Venelin
(Department of Parallel Algorithms, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria)
,
Todorov Venelin
(Department of Information Modeling, Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria)
,
Dimov Ivan
(Department of Parallel Algorithms, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria)
,
Georgieva Rayna
(Department of Parallel Algorithms, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria)
,
Zlatev Zahari
(National Centre for Environment and Energy, University of Århus, Roskilde, Denmark)
,
Poryazov Stoyan
(Department of Information Modeling, Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria)
資料名:
Lecture Notes in Computer Science
(Lecture Notes in Computer Science)
巻:
13127
ページ:
156-163
発行年:
2022年
JST資料番号:
H0078D
ISSN:
0302-9743
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)