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Inverse Problems and Related Topics

Shanghai, China, October 12–14, 2018

  • Jin Cheng
  • Shuai Lu
  • Masahiro Yamamoto
Conference proceedings ICIP2 2018

Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 310)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Inverse Problems and Related Topics for Partial Differential Equations

  3. Regularization Theory of Inverse Problems

    1. Front Matter
      Pages 167-167
    2. Daniel Gerth, Bernd Hofmann, Christopher Hofmann
      Pages 177-203
    3. Mykola Krasnoschok, Sergei Pereverzyev, Sergii V. Siryk, Nataliya Vasylyeva
      Pages 205-236
    4. Ronny Ramlau, Christoph Koutschan, Bernd Hofmann
      Pages 237-256
    5. Daniel Gerth, Stefan Kindermann
      Pages 257-274
    6. Kazufumi Ito
      Pages 275-306
  4. Back Matter
    Pages 307-307

About these proceedings

Introduction

This volume contains 13 chapters, which are extended versions of the presentations at International Conference on Inverse Problems at Fudan University, Shanghai, China, October 12-14, 2018, in honor of Masahiro Yamamoto on the occasion of his 60th anniversary. The chapters are authored by world-renowned researchers and rising young talents, and are updated accounts of various aspects of the researches on inverse problems. The volume covers theories of inverse problems for partial differential equations, regularization methods, and related topics from control theory. This book addresses a wide audience of researchers and young post-docs and graduate students who are interested in mathematical sciences as well as mathematics.

Keywords

inverse problems for partial differential equations stability acoustic scattering Carleman estimates regularization modelling optimization

Editors and affiliations

  • Jin Cheng
    • 1
  • Shuai Lu
    • 2
  • Masahiro Yamamoto
    • 3
  1. 1.Shanghai Key Laboratory for Contemporary Applied Mathematics, Key Laboratory of Mathematics for Nonlinear Sciences and School of Mathematical SciencesFudan UniversityShanghaiChina
  2. 2.Shanghai Key Laboratory for Contemporary Applied Mathematics, Key Laboratory of Mathematics for Nonlinear Sciences and School of Mathematical SciencesFudan UniversityShanghaiChina
  3. 3.Department of Mathematical SciencesThe University of TokyoTokyoJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-15-1592-7
  • Copyright Information Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-981-15-1591-0
  • Online ISBN 978-981-15-1592-7
  • Series Print ISSN 2194-1009
  • Series Online ISSN 2194-1017
  • Buy this book on publisher's site
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