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

Chapman University, January 2024

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Éditeur :

Birkhäuser

Paru le : 2026-05-10

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 ana...
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Éditeur

Collection
n.c

Parution
2026-05-10

Pages
393 pages

EAN papier
9783032023148

Daniel Alpay was born in Paris, France and has a double formation of electrical engineer (Telecom Paris) and theoretical mathematics (Weizmann Institute, Rehovot, Israel). His research interests lie in hypercomplex analysis, operator theory, stochastic processes (in particular in the setting of infinite dimensional analysis), and mathematical physics. He has written a number of research books and more than 310 papers. Building on his research, he wrote three exercises books, two of them on complex analysis. He was a chaired professor at Ben-Gurion University  (Beer-Sheva, Israel) and is now Professor at Chapman University (Orange, California), where he holds the Foster G. and Mary McGaw Professorship in Mathematical Sciences. Adrian Vajiac's interests include the geometry and invariants of 4-manifolds, mathematical physics, topological quantum field theories, and hypercomplex analysis. He wrote two books and several papers in these directions and is now Co-Director of the Computational and Data Science Program at Chapman University, Orange, CA. Mihaela Vajiac was born in Targoviste, Romania, and completed magna cum laude both her undergraduate degree at the University of Bucharest and her PhD at Boston University. Her research interests include Symplectic Geometry, Integrable Systems, and Hypercomplex Analysis, and she has been a co-editor to five similar volumes. She is now Director of the Center of Complex and Hypercomplex Analysis and Program Director of Mathematics at Chapman University, Orange, CA.  

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EAN PDF
9783032023155
Prix
210,99 €
Nombre pages copiables
3
Nombre pages imprimables
39
Taille du fichier
11899 Ko
EAN EPUB
9783032023155
Prix
210,99 €
Nombre pages copiables
3
Nombre pages imprimables
39
Taille du fichier
33004 Ko

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