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New Prospects in Direct, Inverse and Control Problems for Evolution Equations

  • Angelo Favini
  • Genni Fragnelli
  • Rosa Maria Mininni

Part of the Springer INdAM Series book series (SINDAMS, volume 10)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Fatiha Alabau-Boussouira, Serge Nicaise, Cristina Pignotti
    Pages 1-22
  3. Karine Beauchard, Piermarco Cannarsa
    Pages 79-91
  4. Mourad Choulli, Yavar Kian, Eric Soccorsi
    Pages 93-105
  5. Angelo Favini, Alfredo Lorenzi, Hiroki Tanabe
    Pages 107-119
  6. Genni Fragnelli, Gabriela Marinoschi, Rosa Maria Mininni, Silvia Romanelli
    Pages 121-139
  7. Vilmos Komornik, Paola Loreti
    Pages 219-227
  8. Markus Kunze, Luca Lorenzi, Abdelaziz Rhandi
    Pages 229-251
  9. Irina V. Melnikova, Uliana A. Alekseeva, Vadim A. Bovkun
    Pages 353-370
  10. Noboru Okazawa, Motohiro Sobajima
    Pages 401-418

About this book

Introduction

This book, based on a selection of talks given at a dedicated meeting in Cortona, Italy, in June 2013, shows the high degree of interaction between a number of fields related to applied sciences. Applied sciences consider situations in which the evolution of a given system over time is observed, and the related models can be formulated in terms of evolution equations (EEs). These equations have been studied intensively in theoretical research and are the source of an enormous number of applications. In this volume, particular attention is given to direct, inverse and control problems for EEs. The book provides an updated overview of the field, revealing its richness and vitality.

Keywords

Carleman Estimates Control theory Direct problems Inverse problems Well posedness of evolution equations

Editors and affiliations

  • Angelo Favini
    • 1
  • Genni Fragnelli
    • 2
  • Rosa Maria Mininni
    • 3
  1. 1.Dipartimento di MatematicaUniversità di BolognaBolognaItaly
  2. 2.Dipartimento di MatematicaUniversità di BariBariItaly
  3. 3.Dipartimento di MatematicaUniversità di BariBariItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-11406-4
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-11405-7
  • Online ISBN 978-3-319-11406-4
  • Series Print ISSN 2281-518X
  • Series Online ISSN 2281-5198
  • Buy this book on publisher's site