Advances in Hypercomplex Analysis

  • Graziano Gentili
  • Irene Sabadini
  • Michael Shapiro
  • Franciscus Sommen
  • Daniele C. Struppa

Part of the Springer INdAM Series book series (SINDAMS, volume 1)

Table of contents

  1. Front Matter
    Pages I-VII
  2. Fabrizio Colombo, J. Oscar González-Cervantes, Maria Elena Luna-Elizarrarás, Irene Sabadini, Michael Shapiro
    Pages 39-54
  3. Chiara Della Rocchetta, Graziano Gentili, Giulia Sarfatti
    Pages 55-74
  4. Mihaela B. Vajiac
    Pages 125-139

About this book

Introduction

The work aims at bringing together international leading specialists in the field of Quaternionic and Clifford Analysis, as well as young researchers interested in the subject, with the idea of presenting and discussing recent results, analyzing new trends and techniques in the area and, in general, of promoting scientific collaboration. Particular attention is paid to the presentation of different notions of regularity for functions of hypercomplex variables, and to the study of the main features of the theories that they originate.

Keywords

Functions of hypercomplex variables Geometry Hypercomplex Analysis

Editors and affiliations

  • Graziano Gentili
    • 1
  • Irene Sabadini
    • 2
  • Michael Shapiro
    • 3
  • Franciscus Sommen
    • 4
  • Daniele C. Struppa
    • 5
  1. 1.Department of Mathematics "U.Dini"University of FlorenceFirenzeItaly
  2. 2.Department of MathematicsPolitecnico di MilanoMilanoItaly
  3. 3.Department of Mathematics, Instituto Politécnico NacionalEscuela Sup. de Física y MatemáticasMexico D.F.Mexico
  4. 4.Fac. Engineering, Dept. Mathematical AnalysisUniversity of GentGentBelgium
  5. 5.Schmid College of Science and TechnologyChapman UniversityOrangeUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-88-470-2445-8
  • Copyright Information Springer-Verlag Italia 2013
  • Publisher Name Springer, Milano
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-88-470-2444-1
  • Online ISBN 978-88-470-2445-8
  • Series Print ISSN 2281-518X
  • Series Online ISSN 2281-5198
  • Buy this book on publisher's site