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Global Optimization Methods in Geophysical Inversion by Mrinal K. Sen; Paul L. Stoffa is a nonfiction available to read on EtoBox.

What is Global Optimization Methods in Geophysical Inversion about?

Providing an up-to-date overview of the most popular global optimization methods used in interpreting geophysical observations, this new edition includes a detailed description of the theoretical development underlying each method and a thorough explanation of the design, implementation and limitations of algorithms. New and expanded chapters provide details of recently developed methods, such as the neighborhood algorithm, particle swarm optimization, hybrid Monte Carlo and multi-chain MCMC methods. Other chapters include new examples of applications, from uncertainty in climate modeling to whole earth studies. Several different examples of geophysical inversion, including joint inversion of disparate geophysical datasets, are provided to help readers design algorithms for their own applications. This is an authoritative and valuable text for researchers and graduate students in geophysics, inverse theory and exploration geoscience, and an important resource for professionals working in engineering and petroleum exploration. <p>One of the major goals of geophysical inversion is to find earth models that explain the geophysical observations. Thus the branch

Who reads Global Optimization Methods in Geophysical Inversion?

Author

Mrinal K. Sen; Paul L. Stoffa

Publisher

Cambridge University Press (Virtual Publishing)

Published

2013

Language

EN

ISBN

9781139612074

Category

nonfiction

Subjects

Science, Physics, Stem