A superlinear infeasible-interior-point algorithm for monotone complementarity problems

A superlinear infeasible-interior-point algorithm for monotone complementarity problems [electronic resource]

We use the globally convergent framework proposed by Kojima, Noma, and Yoshise to construct an infeasible-interior-point algorithm for monotone nonlinear complementary problems. Superlinear convergence is attained when the solution is nondegenerate and also when the problem is linear. Numerical expe...

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Bibliographic Details
Online Access: Online Access
Corporate Author: Argonne National Laboratory (Researcher)
Format: Government Document Electronic eBook
Language:English
Published: Washington, D.C. : Oak Ridge, Tenn. : United States. Dept. of Energy. Office of Energy Research ; distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 1996.
Subjects:
Nonlinear Problems.
Algorithms.
Convergence.
Mathematical Models.
Numerical Analysis.
Iterative Methods.
Mathematics, Computers, Information Science, Management, Law, Miscellaneous.

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Call Number: E 1.99:MCS-P--344-1292
E 1.99:MCS-P--344-1292 Available

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