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.
- No. of pages:
- © Elsevier Science 1995
- 24th July 1995
- Elsevier Science
- eBook ISBN:
- Hardcover ISBN:
@from:Larry Lines @qu:This book is highly recommended to those wanting to learn about state-of-the-art optimization methods. It is reasonably certain that these methods will continue to be applied to geophysical inversions. Therefore, this text should be added to the library of any reasearch geophysicist. @source:The Leading Edge @from:Panos M. Pardalos, University of Florida @qu:The book is well organized and self contained. The objectives set by the authors are well met. Every chapter and section starts with an introduction that outlines the upcoming material to discuss. The book will be a valuable source for researchers and students in geophysical sciences as well as in nonlinear optimization. The detailed index and the bibliography enhance the usefulness of this book. @source:Journal of Global Optimization @from:SciTech Book News @qu:Assume only a fundamental mathematical background that includes linear algebra and calculus. Suitable as a text for a one-semester graduate course in geophysical inversion. @source:SciTech Book News
University of Texas, Institute for Geophysics, Austin, TX 78759-8345, USA