Geophysical Data Analysis: Discrete Inverse Theory - Softcover

Menke, William

Softcover

ISBN 10: 0124122159 ISBN 13: 9780124122154

Publisher: Academic Press, 2012

Synopsis

Please use extracts from reviews of first edition

Key Features
* Updated and thoroughly revised edition
* additional material on geophysical/acoustic tomography
* Detailed discussion of application of inverse theory to tectonic, gravitational and geomagnetic studies

About this title

Review

"The author has produced a meaningful guide to the subject; one which a student (or professional unfamiliar with the field) can follow without great difficulty and one in which many motivational guideposts are provided....I think that the value of the book is outstanding....It deserves a prominent place on the shelf of every scientist or engineer who has data to interpret."
--GEOPHYSICS
"As a meteorologist, I have used least squares, maximum likelihood, maximum entropy, and empirical orthogonal functions during the course of my work, but this book brought together these somewhat disparate techniques into a coherent, unified package....I recommend it to meteorologists involved with data analysis and parameterization."
--Roland B. Stull, THE BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
"This book provides an excellent introductory account of inverse theory with geophysical applications....My experience in using this book, along with supplementary material in a course for the first year graduate students, has been very positive. I unhesitatingly recommend it to any student or researcher in the geophysical sciences."
--PACEOPH

About the Author

William Menke is a Professor of Earth and Environmental Sciences at Columbia University, USA. His research focuses on the development of data analysis algorithms for time series analysis and imaging in the earth and environmental sciences and the application of these methods to volcanoes, earthquakes and other natural hazards.

Edition details

• Publisher: Academic Press
• Publication date: 2012
• Language: English
• ISBN 10: 0124122159
• ISBN 13: 9780124122154
• Binding: Paperback
• Number of pages: 272