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Global Optimization Methods in Geophysical Inversion. Advances in Exploration Geophysics, Volume 4

Global Optimization Methods in Geophysical Inversion. Advances in Exploration Geophysics, Volume 4

Mrinal Sen
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One of the major goals of geophysical inversion is to find earth models that explain the geophysical observations. Thus the branch of mathematics known as optimization has found significant use in many geophysical applications.Both local and global optimization methods are used in the estimation of material properties from geophysical data. As the title of the book suggests, the aim of this book is to describe the application of several recently developed global optimization methods to geophysical problems.

The well known linear and gradient based optimization methods have been summarized in order to explain their advantages and limitations

The theory of simulated annealing and genetic algorithms have been described in sufficient detail for the readers to understand the underlying fundamental principles upon which these algorithms are based

The algorithms have been described using simple flow charts (the algorithms are general and can be applied to a wide variety of problems

Students, researchers and practitioners will be able to design practical algorithms to solve their specific geophysical inversion problems. The book is virtually self-contained so that there are no prerequisites, except for a fundamental mathematical background that includes a basic understanding of linear algebra and calculus.
Pages
281
Format
ebook
Release
January 01, 1995
ISBN 13
9781281055194

Global Optimization Methods in Geophysical Inversion. Advances in Exploration Geophysics, Volume 4

Mrinal Sen
0/5 ( ratings)
Read Download
One of the major goals of geophysical inversion is to find earth models that explain the geophysical observations. Thus the branch of mathematics known as optimization has found significant use in many geophysical applications.Both local and global optimization methods are used in the estimation of material properties from geophysical data. As the title of the book suggests, the aim of this book is to describe the application of several recently developed global optimization methods to geophysical problems.

The well known linear and gradient based optimization methods have been summarized in order to explain their advantages and limitations

The theory of simulated annealing and genetic algorithms have been described in sufficient detail for the readers to understand the underlying fundamental principles upon which these algorithms are based

The algorithms have been described using simple flow charts (the algorithms are general and can be applied to a wide variety of problems

Students, researchers and practitioners will be able to design practical algorithms to solve their specific geophysical inversion problems. The book is virtually self-contained so that there are no prerequisites, except for a fundamental mathematical background that includes a basic understanding of linear algebra and calculus.
Pages
281
Format
ebook
Release
January 01, 1995
ISBN 13
9781281055194

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