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Autore: |
Cacuci D. G
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Titolo: |
Computational methods for data evaluation and assimilation / / Dan Gabriel Cacuci, Ionel Michael Navon, Mihaela Ionescu-Bujor
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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
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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: | 0-429-13654-4 |
1-58488-735-4 | |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910826522003321 |
Lo trovi qui: | Univ. Federico II |
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