Geophysical Data Analysis Understanding Inverse Problem Theory and Practice

This book PDF is perfect for those who love Geophysics genre, written by Max A. Meju and published by SEG Books which was released on 06 May 1994 with total hardcover pages 305. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Geophysical Data Analysis Understanding Inverse Problem Theory and Practice books below.

Geophysical Data Analysis  Understanding Inverse Problem Theory and Practice
Author : Max A. Meju
File Size : 49,6 Mb
Publisher : SEG Books
Language : English
Release Date : 06 May 1994
ISBN : 9781560802570
Pages : 305 pages
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Geophysical Data Analysis Understanding Inverse Problem Theory and Practice by Max A. Meju Book PDF Summary

This publication is designed to provide a practical understanding of methods of parameter estimation and uncertainty analysis. The practical problems covered range from simple processing of time- and space-series data to inversion of potential field, seismic, electrical, and electromagnetic data. The various formulations are reconciled with field data in the numerous examples provided in the book; well-documented computer programmes are also given to show how easy it is to implement inversion algorithms.

Geophysical Data Analysis  Understanding Inverse Problem Theory and Practice

This publication is designed to provide a practical understanding of methods of parameter estimation and uncertainty analysis. The practical problems covered range from simple processing of time- and space-series data to inversion of potential field, seismic, electrical, and electromagnetic data. The various formulations are reconciled with field data in the

Get Book
Geophysical Data Analysis and Inverse Theory with MATLAB   and Python

Geophysical Data Analysis and Inverse Theory with MATLAB or Python, Fifth Edition is a revised and expanded introduction to inverse theory and tomography as it is practiced by geophysicists. The book demonstrates the methods needed to analyze a broad spectrum of geophysical datasets, with special attention given to those methods

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