Pastāsti draugiem par šo preci:
Schur Analysis and Applications to Hypercomplex Analysis, Neural Networks, and Linear Systems: Chapman University, January 2024 - Operator Theory: Advances and Applications
Schur Analysis and Applications to Hypercomplex Analysis, Neural Networks, and Linear Systems: Chapman University, January 2024 - Operator Theory: Advances and Applications
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;
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2026. gada 12. maijs |
| ISBN13 | 9783032023148 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 393 |
| Izmēri | 150 × 220 × 20 mm · 768 g |
| Valoda | Vācu |
| Redaktors | Alpay, Daniel |
| Redaktors | Lewkowicz, Izchak |
| Redaktors | Vajiac, Adrian |
| Redaktors | Vajiac, Mihaela |