株式会社極東書店トップ ＞ 商品一覧 ＞ Algorithms and Complexity in Mathematics, Epistemology, and Science : Proceedings of 2015 and 2016 ACMES Conferences. 1st ed. 2019.
商品詳細
Algorithms and Complexity in Mathematics, Epistemology, and Science : Proceedings of 2015 and 2016 ACMES Conferences. 1st ed. 2019.
・ISBN 978-1-4939-9050-4 hard EUR 99.99
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お気に入り
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| 著者・編者 | Fillion, Nicolas / Corless, Robert M. / Kotsireas, Ilias S. (eds.), |
|---|---|
| シリーズ | Fields Institute Communications |
| 出版社 | (Springer-Verlag New York Inc., US) |
| 出版年月 | 2019 |
| ページ数 | 294 pp. |
| 言語 | ENG |
| ニュース番号 | ＜M25-5514＞ |
解説
ACMES (Algorithms and Complexity in Mathematics, Epistemology, and Science) is a multidisciplinary conference series that focuses on epistemological and mathematical issues relating to computation in modern science. This volume includes a selection of papers presented at the 2015 and 2016 conferences held at Western University that provide an interdisciplinary outlook on modern applied mathematics that draws from theory and practice, and situates it in proper context. These papers come from leading mathematicians, computational scientists, and philosophers of science, and cover a broad collection of mathematical and philosophical topics, including numerical analysis and its underlying philosophy, computer algebra, reliability and uncertainty quantification, computation and complexity theory, combinatorics, error analysis, perturbation theory, experimental mathematics, scientific epistemology, and foundations of mathematics.
By bringing together contributions from researchers who approach the mathematical sciences from different perspectives, the volume will further readers' understanding of the multifaceted role of mathematics in modern science, informed by the state of the art in mathematics, scientific computing, and current modeling techniques.
By bringing together contributions from researchers who approach the mathematical sciences from different perspectives, the volume will further readers' understanding of the multifaceted role of mathematics in modern science, informed by the state of the art in mathematics, scientific computing, and current modeling techniques.