Schur Analysis and Applications to Hypercomplex Analysis, Neural Networks, and Linear Systems
Chapman University, January 2024
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Beschreibung
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.
Presents the latest research in the rapidly developing field of Schur analysis Explores applications in signal processing, neural networks, linear systems, and mathematical physics Features contributions written by experts in their areas
Autor*in
Daniel Alpay
Themen in »Schur Analysis and Applications to Hypercomplex Analysis, Neural Networks, and Linear Systems«
Schur Analysis Hypercomplex Analysis Neural Networks Linear Systems Systems Theory