Mathematical Sciences: Block, Parallel and Nested Iterative Methods
{'Code': '03040101', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
{'SignBlockName': 'Alan Izenman', 'PO_EMAI': None, 'PO_PHON': None}
This research will study convergence properties and                        implementation details for several types of iterative methods for               solving systems of linear equations on sequential computers and                 on the BBN Butterfly parallel computer.  It will examine ways to                dynamically determine the number of inner iterations that should                be taken in a "nested iterative method," and provide convergence                conditions for such methods.  Block chaotic algoritms will also                 be investigated.                                                                     The question of distributing the computational load in a                   parallel computing environment is crucial.   The proposed                       research should give insight on this issue.
{'FirstName': 'Daniel', 'LastName': 'Szyld', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Daniel B Szyld', 'EmailAddress': 'szyld@temple.edu', 'NSF_ID': '000188306', 'StartDate': '07/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Duke University', 'CityName': 'DURHAM', 'ZipCode': '277054640', 'PhoneNumber': '9196843030', 'StreetAddress': '2200 W MAIN ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Carolina', 'StateCode': 'NC', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'NC04', 'ORG_UEI_NUM': 'TP7EK8DZV6N5', 'ORG_LGL_BUS_NAME': 'DUKE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
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[{'Code': '1266', 'Text': 'APPLIED MATHEMATICS'}, {'Code': '4080', 'Text': 'ADVANCED COMP RESEARCH PROGRAM'}]
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