Computational Methods for Applied Inverse Problems
eBook - PDF

Computational Methods for Applied Inverse Problems

  1. 550 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Computational Methods for Applied Inverse Problems

About this book

Nowadays inverse problems and applications in science and engineering represent an extremely active research field. The subjects are related to mathematics, physics, geophysics, geochemistry, oceanography, geography and remote sensing, astronomy, biomedicine, and other areas of applications.

This monograph reports recent advances of inversion theory and recent developments with practical applications in frontiers of sciences, especially inverse design and novel computational methods for inverse problems. The practical applications include inverse scattering, chemistry, molecular spectra data processing, quantitative remote sensing inversion, seismic imaging, oceanography, and astronomical imaging.

The book serves as a reference book and readers who do research in applied mathematics, engineering, geophysics, biomedicine, image processing, remote sensing, and environmental science will benefit from the contents since the book incorporates a background of using statistical and non-statistical methods, e.g., regularization and optimization techniques for solving practical inverse problems.

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Yes, you can access Computational Methods for Applied Inverse Problems by Yanfei Wang, Anatoly G. Yagola, Changchun Yang, Yanfei Wang,Anatoly G. Yagola,Changchun Yang in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
De Gruyter
Year
2012
Print ISBN
9783110259049
eBook ISBN
9783110259056

Table of contents

  1. Preface
  2. Editor’s Preface
  3. I Introduction
  4. II Recent Advances in Regularization Theory and Methods
  5. III Optimal Inverse Design and Optimization Methods
  6. IV Recent Advances in Inverse Scattering
  7. V Inverse Vibration, Data Processing and Imaging
  8. VI Numerical Inversion in Geosciences
  9. Index