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eBook Geophysical Data Analysis: Discrete Inverse Theory, Volume 45: MATLAB Edition (International Geophysics) epub

by William Menke

eBook Geophysical Data Analysis: Discrete Inverse Theory, Volume 45: MATLAB Edition (International Geophysics) epub
  • ISBN: 0123971608
  • Author: William Menke
  • Genre: Science
  • Subcategory: Earth Sciences
  • Language: English
  • Publisher: Academic Press; 3 edition (July 5, 2012)
  • Pages: 330 pages
  • ePUB size: 1515 kb
  • FB2 size 1770 kb
  • Formats mobi lrf azw txt


This is a practical book on data analysis based on numerical Matlab procedures for solving inverse problems with a special application in seismology.

This is a practical book on data analysis based on numerical Matlab procedures for solving inverse problems with a special application in seismology. -Zentrallblatt MATH 1250

Authors: William Menke. Applications of Inverse Theory to Solid Earth Geophysics. Since 1984, Geophysical Data Analysis has filled the need for a short, concise reference on inverse theory for individuals who have an intermediate background in science and mathematics

Authors: William Menke. Hardcover ISBN: 9780123971609. eBook ISBN: 9780123977847. 1. Earthquake Location and Determination of the Velocity Structure of the Earth from Travel Time Data. Moment Tensors of Earthquakes. Since 1984, Geophysical Data Analysis has filled the need for a short, concise reference on inverse theory for individuals who have an intermediate background in science and mathematics. Advanced color graphics.

Discrete Inverse Theory. Authors: William Menke William Menke. image processing) and mathematics.

Since 1984, Geophysical Data Analysis has filled the need for a short, concise reference on inverse theory for individuals who have an intermediate background . Geophysical Data Analysis - William Menke.

Geophysical Data Analysis - William Menke.

This repository differs from the book in that the Matlab code has been translated to Python, intermingling with a subset of the books text via iPython Notebooks. These are the related data files used by the notebooks.

Since 1984, Geophysical Data Analysis has filled the need for a short, concise reference on inverse theory for individuals who have an intermediate background in science and mathematics

Since 1984, Geophysical Data Analysis has filled the need for a short, concise reference on inverse theory for individuals who have an intermediate background in science and mathematics.

Geophysical Data Analysis: Discrete Inverse Theory. Applications of inverse theory to geophysics

Geophysical Data Analysis: Discrete Inverse Theory. Applications of inverse theory to geophysics. APPENDIX A: Implementing Constraints with Lagrange Multipliers. APPENDIX B: L2 Inverse Theory with Complex Quantities. A complete list of the books in this series appearsat the end of this volume. Geophysical data analysis: discrete inverse theory.

Since 1984, Geophysical Data Analysis has filled the need for a short, concise reference on inverse theory for individuals who have an intermediate background in science and mathematics. The new edition maintains the accessible and succinct manner for which it is known, with the addition of:

MATLAB examples and problem setsAdvanced color graphicsCoverage of new topics, including Adjoint Methods; Inversion by Steepest Descent, Monte Carlo and Simulated Annealing methods; and Bootstrap algorithm for determining empirical confidence intervalsAdditional material on probability, including Bayesian influence, probability density function, and metropolis algorithmDetailed discussion of application of inverse theory to tectonic, gravitational and geomagnetic studiesNumerous examples and end-of-chapter homework problems help you explore and further understand the ideas presentedUse as classroom text facilitated by a complete set of exemplary lectures in Microsoft PowerPoint format and homework problem solutions for instructors

Comments: (7)
Malara
Incredible applications of linear algebra. This book covers the meat of inverse problems in data analysis. Very clear presentation with many examples. It is a very challenging read nonetheless, even if you have a lot of familiarity with linear algebra. It uses linear algebra in a much different way than what people get exposed to in math courses, focusing on how to solve non-invertible linear systems. Although the title has the word "geophyical" in it, there is no emphasis on the geophysical sciences, it would be useful to anyone doing discrete inverse problems. No prerequisites other than basic linear algebra (matrix arithmetic) and patience.
Moogugore
This is a review not for the book content, but the quality of the hardcover book itself. It is terrible. the first 4 pages came loose from the binding the first time I opened it, and pages continue to fall out with each subsequent book.
Grotilar
This is a very useful book for reference of inversion in geophysics. I found the Matlab programs coming with this book particularly useful. In fact, I feel Richard Aster's book did a better job in explaining the inversion techniques. But the Matlab programs in Menke's book is so good I decided to buy a hard copy. The derivation of equations were a little too fast. Some details were omitted. If they make the fonts a little bigger, it will be more comfortable to read.
Butius
Great book!!! Good and synthetic to inverse methods. Beautiful illustrations.
Quendant
Content is good, but the binding of the book was not good. The book starts to have pages fall out after a few uses
LiTTLe_NiGGa_in_THE_СribE
thanks
Iaran
This is a really good book if you are in to high level data processing. It's not a book for people that are starting in the area of geophysics. The important aspect of this book it's that it has a very detailed explanation of the mathematics involved in data processing. Things like Fourier transforms, designing filters, tomography etc. The material of the book is extremely dens but it's really well explained as long as you remember your calculus and lineal algebra.
Although I think this book is worth having, this edition (Third) has been expanded a bit sloppily. Working through this book, I found a number of errors in figures and text, which were not there in the 1st edition, which I also have.
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