Sparsity Issues within Declarative Paradigms in Power Systemand Robotic Applications
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
{'SignBlockName': 'Christopher Collins', 'PO_EMAI': None, 'PO_PHON': None}
New concepts for the utilization of computers within engineering                environments for large scale nonlinear systems will be investigated.            The topics of research include the use of symbolically-assisted                 numeric equation solvers, knowledge-assisted solvers, iconic                    programming and virtual solvers.  State of the art techniques within            sparse matrix theory will be studied.  All ideas will be tested within          the context of both large power systems and complex robotic mechanisms          to determine the efficacy of all new software concepts.  Both series            and parallel algorithms will be studied and tested.  We expect that             the state of the art of computer utilization within engineering                 contexts will be advanced, and as a by-product we expect that progress          will be made on better solutions to several important power system and          robotic problems.
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{'Name': 'University of Wisconsin-Madison', 'CityName': 'MADISON', 'ZipCode': '537151218', 'PhoneNumber': '6082623822', 'StreetAddress': '21 N PARK ST STE 6301', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Wisconsin', 'StateCode': 'WI', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'WI02', 'ORG_UEI_NUM': 'LCLSJAGTNZQ7', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF WISCONSIN SYSTEM', 'ORG_PRNT_UEI_NUM': None}
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[{'Code': '1518', 'Text': 'CONTROL, NETWORKS, & COMP INTE'}, {'Code': '2865', 'Text': 'NUMERIC, SYMBOLIC & GEO COMPUT'}]
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