Duality Methods for Inifinite Dimensional Optimization      Problems
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
{'SignBlockName': 'Radhakisan Baheti', 'PO_EMAI': None, 'PO_PHON': None}
The project described in this proposal is in the general area of                Nonlinear Optimization, and the research issues focus on infinite               dimensional convex optimization problems (IDCP).  A large number of             concrete problems arising in various fields of applications in                  Engineering and Computational Mathematics can be modelled as (IDCP).            An important objective of this project is to demonstrate that all               specific variants of the class (IDCP) can be analyzed in a unified way          via duality methods.  The use of duality techniques leads to produce            finite dimensional computationally tractible problems and thus open             the possibility of constructing efficient algorithms for solving                (IDCP).  The PI has excellent credentials and resides in a suitable             academic environment for gaining promising results.
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[{'Code': '1454', 'Text': 'SYSTEMS THEORY'}, {'Code': '9263', 'Text': 'DATA NOT AVAILABLE'}]
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