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Inverse Problems and Data Assimilation

By Andrew Stuart

Inverse Problems and Data Assimilation Computer Science

Inverse Problems and Data Assimilation

0 - Used - good
Description
This concise introduction provides an entry point to the world of inverse problems and data assimilation for advanced undergraduates and beginning graduate students in the mathematical sciences. It will also appeal to researchers in science and engineering who are interested in the systematic underpinnings of methodologies widely used in their disciplines. The authors examine inverse problems and data assimilation in turn, before exploring the use of data assimilation methods to solve generic inverse problems by introducing an artificial algorithmic time. Topics covered include maximum a posteriori estimation, (stochastic) gradient descent, variational Bayes, Monte Carlo, importance sampling and Markov chain Monte Carlo for inverse problems; and 3DVAR, 4DVAR, extended and ensemble Kalman filters, and particle filters for data assimilation. The book contains a wealth of examples and exercises, and can be used to accompany courses as well as for self-study.
Product details
Edition:
1
Number of Pages:
228
Release Date:
2023-08-10
Publication Date:
2023-08-10
Publisher:
Cambridge University Press
Languages:
Original: English
ISBN10:
1009414321
ISBN13:
9781009414326
GPSR Manufacturer Reference:
[email protected]
Weight:
476 g
Height:
152 cm
Width:
229 cm
Thickness:
14 cm
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