By
M.K. Sen
P.L. Stoffa, University of Texas, Institute for Geophysics, Austin, TX 78759-8345, USA
Description
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.
Included in series
Advances in Exploration Geophysics
