Computing Interior Eigenvalues of Large Matrices
{'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}
A new technique for computing a few interior eigenvalues of a large             matrix is proposd.  It is assumed that the size and structure of the            matrix make factorization impractical.  The new technique is related to         the Rayleigh-Ritz, it finds interior eigenvalues in an optimal way.             The technique can be applied to the Lanczos algorithm for symmetric             matrices and to the Davidson and GD methods for both symmetric and              nonsymmetric matrices.  While the cost per iteration increases, the             number of iterations needed decreases.  The new methods can be a great          improvement.  The methods must be tested and the proper implementations         developed.  It must be determined for what types of problems the new            methods are better than current methods.
{'FirstName': 'Ronald', 'LastName': 'Morgan', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ronald B Morgan', 'EmailAddress': 'Ronald_Morgan@baylor.edu', 'NSF_ID': '000346865', 'StartDate': '07/15/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Missouri-Columbia', 'CityName': 'COLUMBIA', 'ZipCode': '652113020', 'PhoneNumber': '5738827560', 'StreetAddress': '121 UNIVERSITY HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Missouri', 'StateCode': 'MO', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'MO03', 'ORG_UEI_NUM': 'SZPJL5ZRCLF4', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MISSOURI SYSTEM', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '2865', 'Text': 'NUMERIC, SYMBOLIC & GEO COMPUT'}
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