Schur Analysis and Applications to Hypercomplex Analysis, Neural Networks, and Linear Systems, Gebunden

Schur Analysis and Applications to Hypercomplex Analysis, Neural Networks, and Linear Systems

Buch

Chapman University, January 2024

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Herausgeber:: Daniel Alpay, Izchak Lewkowicz, Adrian Vajiac, Mihaela Vajiac
Verlag:: Birkhäuser, 05/2026
Einband:: Gebunden
Sprache:: Englisch
ISBN-13:: 9783032023148
Artikelnummer:: 12353010
Umfang:: 404 Seiten
Gewicht:: 768 g
Maße:: 241 x 160 mm
Stärke:: 28 mm
Erscheinungstermin:: 12.5.2026
Serie:: Operator Theory: Advances and Applications - Band 308
Hinweis: Achtung: Artikel ist nicht in deutscher Sprache!

Klappentext

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.