Skip to content
Register Sign in Wishlist
Look Inside Inverse Problems and Applications

Inverse Problems and Applications
Inside Out II

Part of Mathematical Sciences Research Institute Publications

Kari Astala, Matti Lassas, Lassi Paivarinta, Liliana Borcea, Vladimir Druskin, Fernando Guevara Vasquez, Alexander V. Mamonov, Colin Guillarmou, Leo Tzou, Mikko Salo, Jenn-Nan Wang, Ting Zhou, Plamen Stefanov, Gunther Uhlmann, Guillaume Bal, Gabriel P. Paternain, Valeriy Brytik, Maarten V. de Hoop, Robert D. van der Hilst, Kiril Datchev, Hamid Hezari, Andras Vasy, Fioralba Cakoni, Houssem Haddar
View all contributors
  • Date Published: December 2012
  • availability: Available
  • format: Hardback
  • isbn: 9781107032019

Hardback

Add to wishlist

Looking for an inspection copy?

This title is not currently available for inspection. However, if you are interested in the title for your course we can consider offering an inspection copy. To register your interest please contact asiamktg@cambridge.org providing details of the course you are teaching.

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • Inverse problems lie at the heart of contemporary scientific inquiry and technological development. Applications include a variety of medical and other imaging techniques, which are used for early detection of cancer and pulmonary edema, location of oil and mineral deposits in the Earth's interior, creation of astrophysical images from telescope data, finding cracks and interfaces within materials, shape optimization, model identification in growth processes, and modeling in the life sciences among others. The expository survey essays in this book describe recent developments in inverse problems and imaging, including hybrid or couple-physics methods arising in medical imaging, Calderon's problem and electrical impedance tomography, inverse problems arising in global seismology and oil exploration, inverse spectral problems, and the study of asymptotically hyperbolic spaces. It is suitable for graduate students and researchers interested in inverse problems and their applications.

    • Gives a comprehensive, accessible and up-to-date description of a large number of inverse problems
    Read more

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Date Published: December 2012
    • format: Hardback
    • isbn: 9781107032019
    • length: 592 pages
    • dimensions: 242 x 161 x 34 mm
    • weight: 0.92kg
    • availability: Available
  • Table of Contents

    1. The Calderon's inverse problem: imaging and invisibility Kari Astala, Matti Lassas and Lassi Paivarinta
    2. Resistor network approaches to electrical impedance tomography Liliana Borcea, Vladimir Druskin, Fernando Guevara Vasquez and Alexander V. Mamonov
    3. Calderon inverse problem in two dimensions Colin Guillarmou and Leo Tzou
    4. The Calderon problem on Riemannian manifolds Mikko Salo
    5. Enclosure methods for the Helmholtz-type equations Jenn-Nan Wang and Ting Zhou
    6. Multiwave methods via ultrasound Plamen Stefanov and Gunther Uhlmann
    7. Hybrid inverse problems and internal functionals Guillaume Bal
    8. Inverse problems for connections Gabriel P. Paternain
    9. Elastic-wave inverse scattering based on reverse time migration with active and passive source reflection data Valeriy Brytik, Maarten V. de Hoop and Robert D. van der Hilst
    10. Inverse problems in spectral geometry Kiril Datchev and Hamid Hezari
    11. Microlocal analysis of asymptotically hyperbolic spaces and high energy resolvent estimates Andras Vasy
    12. Transmission eigenvalues in inverse scattering theory Fioralba Cakoni and Houssem Haddar.

  • Editor

    Gunther Uhlmann, University of Washington
    Dr Gunther Uhlmann is Walker Family Endowed Professor of Mathematics at the University of Washington, Department of Mathematics, and the Excellence in Teaching Endowed Chair at the University of California, Irvine. His research focuses on inverse problems and imaging, microlocal analysis and partial differential equations.

    Series editor Cam Learning use ONLY

    Mathematical Sciences Research Institute

    Contributors

    Kari Astala, Matti Lassas, Lassi Paivarinta, Liliana Borcea, Vladimir Druskin, Fernando Guevara Vasquez, Alexander V. Mamonov, Colin Guillarmou, Leo Tzou, Mikko Salo, Jenn-Nan Wang, Ting Zhou, Plamen Stefanov, Gunther Uhlmann, Guillaume Bal, Gabriel P. Paternain, Valeriy Brytik, Maarten V. de Hoop, Robert D. van der Hilst, Kiril Datchev, Hamid Hezari, Andras Vasy, Fioralba Cakoni, Houssem Haddar

Related Books

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email lecturers@cambridge.org

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×
warning icon

Turn stock notifications on?

You must be signed in to your Cambridge account to turn product stock notifications on or off.

Sign in Create a Cambridge account arrow icon
×

Find content that relates to you

Join us online

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.

Cancel

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×