Mathematical Sciences: Computational Techniques for ProblemsInvolving Distributed Systems
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This research entails theoretical analysis, development of numerical            algorithms, and testing of the algorithms on field data.  A specific            focus of the work will be the construction and testing of new types of          algorithms based on present and contemplated parallel processor                 architectures.  Parameter estimation problems are abundant in the               biological, physical, and engineering sciences.  They arise because it          is often difficult or impossible to directly measure certain                    'parameters' which are relevant to a particular investigation.  These           parameters must therefore be estimated from observations which can be           made together with an assumed form of modeling equations containing the         unknown parameters.  Examples are estimation of porosity or density of          substrata in the earth's crust, estimation of dispersal rates in insect         migration, and estimation of damping coefficients in large flexible             space structures.
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[{'Code': '1266', 'Text': 'APPLIED MATHEMATICS'}, {'Code': '1454', 'Text': 'SYSTEMS THEORY'}, {'Code': '4065', 'Text': 'SOFTWARE'}, {'Code': '4081', 'Text': 'SOFTWARE'}]
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