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Schur Analysis and Applications to Hypercomplex Analysis, Neural Networks, and Linear Systems : Chapman University, January 2024 - Daniel Alpay

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

Chapman University, January 2024

By: Daniel Alpay (Editor), Izchak Lewkowicz (Editor), Adrian Vajiac (Editor), Mihaela Vajiac (Editor)

eText | 10 May 2026

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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.

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Non-FictionMathematicsCalculus & Mathematical AnalysisFunctional Analysis & TransformsComplex AnalysisSciencePhysics

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