Dynamic Models Including Uncertainty
Final technical rept. 1 Feb-30 Nov 2008
NORTH CAROLINA STATE UNIV AT RALEIGH CENTER FOR RESEARCH IN SCIENTIFIC COMPUTATION
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In this 10-month funded effort, we report progress on the development of methods in a number of specific areas stochastic and deterministic models for complex networks and development of inverse problem methodologies generalized sensitivity functions. These efforts are part of our continuing fundamental research program in modeling, estimation and control methodology theoretical, statistical and computational for systems in the presence of major model observation uncertainties.
- Statistics and Probability
- Operations Research