Computational methods for data evaluation and assimilation / / Dan Gabriel Cacuci, Ionel Michael Navon, Mihaela Ionescu-Bujor

• Autore: Cacuci D. G
• Pubblicazione: Boca Raton, : CRC Press, 2014
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (372 p.)
• Disciplina: 518.0285; 519.538
• Soggetto topico: Mathematical analysis - Data processing
• Classificazione: MAT003000
• Altri autori: NavonIonel Michael Ionescu-BujorMihaela
• Note generali: "A Chapman & Hall book."
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Front Cover; Contributors; Preface; List of Figures; List of Tables; Contents; Introduction; Chapter 1 - Experimental Data Evaluation: Basic Concepts; Chapter 2 - Computation of Means and Variances from Measurements; Chapter 3 - Optimization Methods For Large-Scale Data Assimilation; Chapter 4 - Basic Principles of 4-D VAR; Chapter 5 - 4-D VAR in Numerical Weather Prediction Models; Chapter 6 - Appendix A; Chapter 7 - Appendix B; Chapter 8 - Appendix C; Bibliography; Back Cover
• Sommario/riassunto: Data evaluation and data combination require the use of a wide range of probability theory concepts and tools, from deductive statistics mainly concerning frequencies and sample tallies to inductive inference for assimilating non-frequency data and a priori knowledge. Computational Methods for Data Evaluation and Assimilation presents interdisciplinary methods for integrating experimental and computational information. This self-contained book shows how the methods can be applied in many scientific and engineering areas. After presenting the fundamentals underlying the evaluation of experiment
• Titolo autorizzato: Computational methods for data evaluation and assimilation
• ISBN: 1-04-020571-2; 0-429-13654-4; 1-58488-735-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910966711403321
• Lo trovi qui: Univ. Federico II