Mathematical Sciences: Approximation Methods in MathematicalAnalysis
{'Code': '03040102', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
{'SignBlockName': 'John V. Ryff', 'PO_EMAI': None, 'PO_PHON': None}
This project will focus on mathematical research in the area                 of approximation theory.  The work is distinguished from more                   traditional investigations on functional approximation and                      special functions in that the complexity or speed of                            computability is replaced by degree in the competition for best                 approximation.  Efforts will be made to determine a hierarchy                   of function classes for which the measure of computability is                   much lower than that predicted by classical estimates.                          Evidence produce in specific instances suggests that such a                     classification is possible.                                                        In addition to refining techniques and algorithms in                         approximation theory, applications are expected to be made in                   software and computational efficiency, where an emphasis on                     minimal complexity will be stressed.
{'FirstName': 'Donald', 'LastName': 'Newman', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Donald J Newman', 'EmailAddress': None, 'NSF_ID': '000163417', 'StartDate': '07/15/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
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{'Code': '1261', 'Text': 'CLASSICAL ANALYSIS'}
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