An Efficient Algorithm for Nonlinear Minimax Problems
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Author
Conn, Andrew R.
Li, Yuying
Abstract
We present a new method for solving a nonlinear minimax problem. This new algorithm exploits the structure and characterisation of the solution whenever possible. The exploitation is based on the results that have been established in [13]. The algorithm is globally convergent with a superlinear convergence rate. Numerical results indicate the efficacy of the new method.
Date Issued
1990-03
Publisher
Cornell University
Keywords
Previously Published as
http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR90-1104
Type
technical report