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Introduction

Published online by Cambridge University Press:  27 July 2023

Daniel Sanz-Alonso
Affiliation:
University of Chicago
Andrew Stuart
Affiliation:
California Institute of Technology
Armeen Taeb
Affiliation:
University of Washington
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Summary

The aim of these notes is to provide a clear and concise mathematical introduction to the subjects of Inverse Problems and Data Assimilation, and their interrelations, together with bibliographic pointers to literature in this area that goes into greater depth. The target audiences are advanced undergraduates and beginning graduate students in the mathematical sciences, together with researchers in the sciences and engineering who are interested in the systematic underpinnings of methodologies widely used in their disciplines.

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Publisher: Cambridge University Press
Print publication year: 2023

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  • Introduction
  • Daniel Sanz-Alonso, University of Chicago, Andrew Stuart, California Institute of Technology, Armeen Taeb, University of Washington
  • Book: Inverse Problems and Data Assimilation
  • Online publication: 27 July 2023
  • Chapter DOI: https://doi.org/10.1017/9781009414319.002
Available formats
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Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Introduction
  • Daniel Sanz-Alonso, University of Chicago, Andrew Stuart, California Institute of Technology, Armeen Taeb, University of Washington
  • Book: Inverse Problems and Data Assimilation
  • Online publication: 27 July 2023
  • Chapter DOI: https://doi.org/10.1017/9781009414319.002
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Introduction
  • Daniel Sanz-Alonso, University of Chicago, Andrew Stuart, California Institute of Technology, Armeen Taeb, University of Washington
  • Book: Inverse Problems and Data Assimilation
  • Online publication: 27 July 2023
  • Chapter DOI: https://doi.org/10.1017/9781009414319.002
Available formats
×