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Record Nr. |
UNINA9910966711403321 |
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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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Pubbl/distr/stampa |
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Boca Raton, : CRC Press, 2014 |
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ISBN |
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1-04-020571-2 |
0-429-13654-4 |
1-58488-735-4 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (372 p.) |
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Classificazione |
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Altri autori (Persone) |
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NavonIonel Michael |
Ionescu-BujorMihaela |
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Disciplina |
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Soggetti |
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Mathematical analysis - Data processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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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 |
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Sommario/riassunto |
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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 |
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