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Sinopsis: 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.
About the Author: Clayton V. Deutsch is at Exxon Research Production Co.. Andre G. Journel is at Stanford University.
Título: GSLIB: Geostatistical Software Library and ...
Condición del libro: Good
Descripción Oxford University Press, 1997. Hardcover. Estado de conservación: Good. 2. Ships with Tracking Number! INTERNATIONAL WORLDWIDE Shipping available. May not contain Access Codes or Supplements. Buy with confidence, excellent customer service!. Nº de ref. de la librería 0195100158