Schur Analysis and Applications to Hypercomplex Analysis, Neural Networks, and Linear Systems (eBook)

Chapman University, January 2024
Artikelnummer: 978-3-032-02315-5
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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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.

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.

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VerlagSpringer Nature Switzerland
EinbandPDF
Erscheinungsjahr2026
Seitenangabe393 S.
AusgabekennzeichenEnglisch
AbbildungenX, 393 p. 1 illus. in color.
Masse11'899 KB
PlattformPDF
ReiheOperator Theory: Advances and Applications; Linear Operators and Linear Systems; Mathematics and Statistics; Mathematics and Statistics ; Springer Nature Proceedings excluding Computer Science
AutorAlpay, Daniel (Hrsg.) / Lewkowicz, Izchak (Hrsg.) / Vajiac, Adrian (Hrsg.) / Vajiac, Mihaela (Hrsg.)

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