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- DescriptionMany natural phemena ranging from climate through to biology are described by complex dynamical systems. Getting information about these phemena involves filtering isy data and prediction based on incomplete information (complicated by the sheer number of parameters involved), and often we need to do this in real time, for example for weather forecasting or pollution control. All this is further complicated by the sheer number of parameters involved leading to further problems associated with the 'curse of dimensionality' and the 'curse of small ensemble size'. The authors develop, for the first time in book form, a systematic perspective on all these issues from the standpoint of applied mathematics. The book contains eugh background material from filtering, turbulence theory and numerical analysis to make the presentation self-contained and suitable for graduate courses as well as for researchers in a range of disciplines where applied mathematics is required to enlighten observations and models.
- Author BiographyAndrew J. Majda is the Morse Professor of Arts and Sciences at the Courant Institute of New York University. John Harlim is Assistant Professor in the Department of Mathematics at North Carolina State University.
- Author(s)Andrew J. Majda,John Harlim
- PublisherCambridge University Press
- Date of Publication23/02/2012
- Place of PublicationCambridge
- Country of PublicationUnited Kingdom
- ImprintCambridge University Press
- Content Note145 b/w illus. 35 tables
- Weight810 g
- Width174 mm
- Height247 mm
- Spine22 mm
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