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080114s1995 ne ob 001 0 eng d |
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100 |
1 |
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|a Sen, Mrinal K.
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245 |
1 |
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|a Global optimization methods in geophysical inversion /
|c Mrinal Sen and Paul L. Stoffa.
|
260 |
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|a Amsterdam ;
|a New York :
|b Elsevier,
|c ©1995.
|
300 |
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|a 1 online resource (xi, 281 pages)
|
336 |
|
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|a text
|b txt
|2 rdacontent
|
337 |
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|a computer
|b c
|2 rdamedia
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338 |
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|a online resource
|b cr
|2 rdacarrier
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490 |
1 |
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|a Advances in exploration geophysics ;
|v 4
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|a Includes bibliographical references (pages 269-277) and index.
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0 |
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|a Preliminary statistics -- Direct, linear and iterative-linear inverse methods -- Monte Carlo methods -- Simulated annealing methods -- Genetic algorithms -- Geophysical applications of SA and GA -- Uncertainty estimation.
|
506 |
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|3 Use copy
|f Restrictions unspecified
|2 star
|5 MiAaHDL
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|a 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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533 |
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|a Electronic reproduction.
|b [Place of publication not identified] :
|c HathiTrust Digital Library,
|d 2010.
|5 MiAaHDL
|
538 |
|
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|a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
|u http://purl.oclc.org/DLF/benchrepro0212
|5 MiAaHDL
|
583 |
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|a digitized
|c 2010
|h HathiTrust Digital Library
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588 |
0 |
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|a Print version record.
|
506 |
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|a Access restricted to Ryerson students, faculty and staff.
|5 CaOTR
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546 |
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|a English.
|
590 |
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|a Knovel
|b ACADEMIC - Earth Sciences
|
590 |
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|a Knovel
|b ACADEMIC - Oil & Gas Engineering
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650 |
|
0 |
|a Geological modeling.
|
650 |
|
0 |
|a Geophysics
|x Mathematical models.
|
650 |
|
0 |
|a Inverse problems (Differential equations)
|
650 |
|
0 |
|a Mathematical optimization.
|
650 |
|
6 |
|a Modèles en géologie.
|
650 |
|
6 |
|a Géophysique
|x Modèles mathématiques.
|
650 |
|
6 |
|a Problèmes inverses (Équations différentielles)
|
650 |
|
6 |
|a Optimisation mathématique.
|
650 |
|
7 |
|a SCIENCE
|x Earth Sciences
|x General.
|2 bisacsh
|
650 |
|
7 |
|a SCIENCE
|x Physics
|x Geophysics.
|2 bisacsh
|
650 |
|
7 |
|a Geological modeling.
|2 fast
|0 (OCoLC)fst00940592
|
650 |
|
7 |
|a Geophysics
|x Mathematical models.
|2 fast
|0 (OCoLC)fst00941022
|
650 |
|
7 |
|a Inverse problems (Differential equations)
|2 fast
|0 (OCoLC)fst00978098
|
650 |
|
7 |
|a Mathematical optimization.
|2 fast
|0 (OCoLC)fst01012099
|
653 |
0 |
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|a Geophysics
|a Mathematical models
|
700 |
1 |
|
|a Stoffa, Paul L.,
|d 1948-
|
776 |
0 |
8 |
|i Print version:
|a Sen, Mrinal K.
|t Global optimization methods in geophysical inversion.
|d Amsterdam ; New York : Elsevier, ©1995
|w (DLC) 95012651
|
830 |
|
0 |
|a Advances in exploration geophysics ;
|v 4.
|
856 |
4 |
0 |
|u https://appknovel.uam.elogim.com/kn/resources/kpGOMGI003/toc
|z Texto completo
|
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|
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|b YANK
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