Computational and Applied Aspects of Multiperiod Stochastic Programming
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Research is concerned with algorithmic and practical aspects of large-          scale multi-period stochastic programs, motivated by problems in                production, manufacturing, scheduling, finance and energy policies.             Approximation and bounds on the nonlinear functions will be thoroughly          investigated.  The aim is to provide insights regarding solution and            analysis of multi-period stochastic programming problems.
{'FirstName': 'John', 'LastName': 'Birge', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'John R Birge', 'EmailAddress': 'John.Birge@gsb.uchicago.edu', 'NSF_ID': '000220023', 'StartDate': '04/01/1989', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Regents of the University of Michigan - Ann Arbor', 'CityName': 'ANN ARBOR', 'ZipCode': '481091079', 'PhoneNumber': '7347636438', 'StreetAddress': '1109 GEDDES AVE, SUITE 3300', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'MI06', 'ORG_UEI_NUM': 'GNJ7BBP73WE9', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MICHIGAN', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '5514', 'Text': 'OPERATIONS RESEARCH'}
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