Discrete Inverse and State Estimation Problems: With Geophysical Fluid Applications Tapa dura - 2006

Hardback. New. 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.

Cambridge Univ Pr, 2006. Hardcover. New. new title edition. 384 pages. 9.75x6.75x1.00 inches.

hardcover. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.

Cambridge University Press, 2006-06-01. Hardcover. New. New. In shrink wrap. Looks like an interesting title!

ISBN: 9780521854245
CAMBRIDGE UNIVERSITY PRESS,  31 July 2006
Hardback 384 pages
The problems of making inferences about the natural world from noisy observations and imperfect theories occur in almost all scientific disciplines. This 2006 book addresses these problems 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 including the singular value decomposition, Gauss-Markov and minimum variance estimates, Kalman filters and related smoothers, and adjoint (Lagrange multiplier) methods. The final chapters discuss a variety of practical applications to geophysical flow problems. Discrete Inverse and State Estimation Problems is an ideal introduction to the topic for graduate students and researchers in oceanography, meteorology, climate… Leer más