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

Inbunden, Engelska, 2026

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

Av Daniel Alpay, Izchak Lewkowicz, Adrian Vajiac, Mihaela Vajiac

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Beskrivning
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.
Produktinformation
  • Utgivningsdatum: 2026-05-12
  • Mått: 155 x 235 x 28 mm
  • Vikt: 768 g
  • Format: Inbunden
  • Språk: Engelska
  • Antal sidor: 393
  • Förlag: Springer Nature Switzerland AG
  • ISBN: 9783032023148
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