Discrete Inverse and State Estimation Problems
With Geophysical Fluid Applications
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Discrete Inverse and State Estimation Problems addresses the problems of making inferences about the natural world from noisy observations and imperfect theories. Using examples taken from geophysical fluid dynamics, it focuses on discrete formulations, both static and time-varying, known variously as inverse, state estimation or data assimilation problems. Starting with fundamental algebraic and statistical ideas, the book guides the reader through a range of inference tools and practical applications. It is an ideal introduction to the topic for graduate students and researchers in oceanogra...
Discrete Inverse and State Estimation Problems addresses the problems of making inferences about the natural world from noisy observations and imperfect theories. Using examples taken from geophysical fluid dynamics, it focuses on discrete formulations, both static and time-varying, known variously as inverse, state estimation or data assimilation problems. Starting with fundamental algebraic and statistical ideas, the book guides the reader through a range of inference tools and practical applications. It is an ideal introduction to the topic for graduate students and researchers in oceanography, climate science, and geophysical fluid dynamics.
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