株式会社極東書店トップ ＞ 商品一覧 ＞ Schur Analysis and Applications to Hypercomplex Analysis, Neural Networks, and Linear Systems : Chapman University, January 2024.
商品詳細
Schur Analysis and Applications to Hypercomplex Analysis, Neural Networks, and Linear Systems : Chapman University, January 2024.
・ISBN 978-3-032-02314-8 hard EUR 199.99
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| 著者・編者 | Alpay, Daniel / Lewkowicz, Izchack / Vajiac, Adrian / Vajiac, Mihaela (eds.), |
|---|---|
| シリーズ | Operator Theory: Advances and Applications |
| 出版社 | (Birkhauser, SZ) |
| 出版年月 | 2025 |
| ページ数 | 393 pp. |
| 言語 | ENG |
| ニュース番号 | ＜M25-17386＞ |
解説
This volume presents selected contributions from a conference held at Chapman University in January 2024 on Schur analysis and its applications. The papers, written by leading researchers in the field, are divided into four sections: function theory, harmonic analysis, and operator theory; Schur analysis and signal processing; hypercomplex analysis; and infinite dimensional analysis, probabilities, and non-commutative theory. The volume will be a valuable resource for mathematicians and other researchers interested in learning about the latest developments and applications of Schur analysis.