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

Format:

Book

Author/Creator:

Cacuci, D. G.

Contributor:

Navon, Ionel Michael.

Ionescu-Bujor, Mihaela.

Language:

English

Subjects (All):

Mathematical analysis--Data processing.

Mathematical analysis.

Physical Description:

1 online resource (372 p.)

Edition:

1st ed.

Place of Publication:

Boca Raton : CRC Press, 2014.

Language Note:

English

Summary:

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

Contents:

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

Notes:

"A Chapman & Hall book."

Includes bibliographical references.

ISBN:

1-04-020571-2

0-429-13654-4

1-58488-735-4

9780429136542

OCLC:

857059565