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Global optimization methods in geophysical inversion /
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...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; New York :
Elsevier,
�1995.
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| Colección: | Advances in exploration geophysics ;
4. |
| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
| Sumario: | 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. & bull; The well known linear and gradient based optimization methods have been summarized in order to explain their advantages and limitations & bull; 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 & bull; 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. |
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| Descripción Física: | 1 online resource (xi, 281 pages) |
| Bibliografía: | Includes bibliographical references (pages 269-277) and index. |
| ISBN: | 9780080532561 008053256X 1281055190 9781281055194 |
| Acceso: | Access restricted to Ryerson students, faculty and staff. |