Synopsis
This introduction to the important interplay between nonlinear dynamics and statistical theories for geophysical flows is designed for a multi-disciplinary audience ranging from graduate students to senior researchers. Novel applications of information theory are utilized to simplify, unify, and compare the equilibrium statistical theories. Topics and related background concepts are introduced and developed through elementary examples and discussion throughout the text as they arise. No previous background in geophysical flows is needed to read the text.
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About the Authors
Andrew J. Majda is the Morse Professor of Arts and Sciences at the Courant Institute of New York University.
Xiaoming Wang is an Associate Professor in the Department of Mathematics at Iowa State University.
"About this title" may belong to another edition of this title.
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Non-Linear Dynamics and Statistical Theories with Basic Geophysical Flows
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Non-Linnear Dynamics and Statistical Theories of Basic Geophysics Flows
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NONLINEAR DYNAMICS AND STATISTICAL THEORIES FOR BASIC GEOPHYSICAL FLOWS
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Nonlinear Dynamics and Statistical Theories for Basic Geophysical Flows
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Nonlinear Dynamics and Statistical Theories for Basic Geophysical Flows
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Non-Linear Dynamics and Statistical Theories for Basic Geophysical Flows
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Nonlinear Dynamics and Statistical Theories for Basic Geophysical Flows
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Non-Linnear Dynamics and Statistical Theories for Basic Geophysical Flows
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