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Informationen zum Autor Carl Wunsch is Cecil and Ida Green Professor of Physical Oceanography at the Department of Earth! Atmospheric and Planetary Sciences! Massachusetts Institute of Technology. Klappentext 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. Zusammenfassung Addressing the problems of making inferences from noisy observations and imperfect theories! this 2006 book introduces many inference tools and practical applications. Starting with fundamental algebraic and statistical ideas! it is ideal for graduate students and researchers in oceanography! climate science! and geophysical fluid dynamics. Inhaltsverzeichnis Preface; Part I. Fundamental Machinery: 1. Introduction; 2. Basic machinery; 3. Extensions of methods; 4. The time-dependent inverse problem: state estimation; 5. Time-dependent methods (continued); Part II. Applications: 6. Applications to steady problems; 7. Applications to time-dependent fluid problems; References; Index.
