Schur Analysis and Applications to Hypercomplex Analysis, Neural Networks, and Linear Systems Schur Analysis and Applications to Hypercomplex Analysis, Neural Networks, and Linear Systems
Operator Theory: Advances and Applications

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

Chapman University, January 2024

Daniel Alpay and Others
    • 174,99 €
    • 174,99 €

Publisher Description

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.

GENRE
Science & Nature
RELEASED
2026
10 May
LANGUAGE
EN
English
LENGTH
403
Pages
PUBLISHER
Springer Nature Switzerland
PROVIDER INFO
Springer Science & Business Media LLC
SIZE
90.7
MB
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Recent Developments in Operator Theory, Mathematical Physics and Complex Analysis Recent Developments in Operator Theory, Mathematical Physics and Complex Analysis
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