This highly successful text, now in its second edition, has been extensively revised and expanded to cover new algorithms. The text, maintaining the no-nonsense, get-to-the-fact approach taken in the first edition, focuses on the needs of students, practitioners, and researchers. The source code has been simplified and expanded. The text includes advanced theory applications and practical notes. GSLIB can be used as a starting point for custom programs, advanced applications, and research. The code is presented in this edition on a CD-ROM.
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About the Author:
"Provides concise theoretical discussions of relevant geostatistical concepts, with an emphasis on placing the provided routines in the context of current geostatistical practice. The text is loaded with citations and the resulting bibliography is a valuable resource within itself."--Kansas Geological Survey
Clayton V. Deutsch is at Exxon Research Production Co.. Andre G. Journel is at Stanford University.
Review:
Praise for the previous edition:
"Provides concise theoretical discussions of relevant geostatistical concepts, with an emphasis on placing the provided routines in the context of current geostatistical practice. The text is loaded with citations and the resulting bibliography is a valuable resource within itself."--Kansas Geological Survey
"About this title" may belong to another edition of this title.
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1. GSLIB: Geostatistical Software Library and Users Guide (Applied Geostatistics)
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2. GSLIB: Geostatistical Software Library and User's Guide (Applied Geostatistics)
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5. GSLIB: Geostatistical Software Library and User's Guide (Applied Geostatistics)
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