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Principles of Data Assimilation (Hardcover)
Loot Price: R1,837
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Principles of Data Assimilation (Hardcover)
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Data assimilation is theoretically founded on probability,
statistics, control theory, information theory, linear algebra, and
functional analysis. At the same time, data assimilation is a very
practical subject, given its goal of estimating the posterior
probability density function in realistic high-dimensional
applications. This puts data assimilation at the intersection
between the contrasting requirements of theory and practice. Based
on over twenty years of teaching courses in data assimilation,
Principles of Data Assimilation introduces a unique perspective
that is firmly based on mathematical theories, but also
acknowledges practical limitations of the theory. With the
inclusion of numerous examples and practical case studies
throughout, this new perspective will help students and researchers
to competently interpret data assimilation results and to identify
critical challenges of developing data assimilation algorithms. The
benefit of information theory also introduces new pathways for
further development, understanding, and improvement of data
assimilation methods.
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