Continuation Methods for the Nonlinear Complementarity and  Variational Inequality Problems in Finite Dimensions
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{'SignBlockName': 'Radhakisan Baheti', 'PO_EMAI': None, 'PO_PHON': None}
In recent years, there has been a growing amount of research interests          on the finite-dimensional variational inequality and nonlinear                  complementarity problems.  Among the many algorithms applicable for             solving these problems, one particular algorithm stands out as the              most promising.  This is Newton's method.  Despite the successes this           method has achieved in practice, the method is intrinsically a locally          convergent algorithm in the sense that unless the initial iterate is            close to the solution, convergence is, in general, not guaranteed.  It          is the objective of our research to attempt to enlarge the domain of            convergence of Newton's method.  The approach is based on the                   classical idea of continuation for solving systems of nonlinear                 equations, and makes use of some recent results of sensitivity                  analysis for the variation inequality/complementarity problems.
{'FirstName': 'Jong-Shi', 'LastName': 'Pang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jong-Shi Pang', 'EmailAddress': 'jongship@usc.edu', 'NSF_ID': '000448307', 'StartDate': '05/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Johns Hopkins University', 'CityName': 'BALTIMORE', 'ZipCode': '212182608', 'PhoneNumber': '4439971898', 'StreetAddress': '3400 N CHARLES ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MD07', 'ORG_UEI_NUM': 'FTMTDMBR29C7', 'ORG_LGL_BUS_NAME': 'THE JOHNS HOPKINS UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
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[{'Code': '1454', 'Text': 'SYSTEMS THEORY'}, {'Code': '1518', 'Text': 'CONTROL, NETWORKS, & COMP INTE'}]
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