Iterative Methods for Large Sparse Linear Systems Arising   from Partial Differential Equations
{'Code': '05010200', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CCF', 'LongName': 'Division of Computing and Communication Foundations'}}
{'SignBlockName': 'S. Kamal Abdali', 'PO_EMAI': None, 'PO_PHON': None}
The purpose of this investigation is to develop, test, and analyze              iterative methods for computing the solutions of large, sparse linear           systems arising from the discretization of elliptic partial                     differential equations.  The focus of the research is on partial                elimination techniques for two-cycle problems, iteration schemes for            nonsymmetric systems derived from non-self-adjoint problems,                    preconditioners, and parallel computations.  An analytic study on               benchmark problems, including systems from three-dimensional models,            will be combined with numerical experimentation using both serial and           parallel computers.
{'FirstName': 'Howard', 'LastName': 'Elman', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Howard C Elman', 'EmailAddress': 'elman@cs.umd.edu', 'NSF_ID': '000173151', 'StartDate': '04/01/1989', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Maryland, College Park', 'CityName': 'COLLEGE PARK', 'ZipCode': '207425100', 'PhoneNumber': '3014056269', 'StreetAddress': '3112 LEE BUILDING', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'MD04', 'ORG_UEI_NUM': 'NPU8ULVAAS23', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MARYLAND, COLLEGE PARK', 'ORG_PRNT_UEI_NUM': 'NPU8ULVAAS23'}
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{'Code': '2865', 'Text': 'NUMERIC, SYMBOLIC & GEO COMPUT'}
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