Interior-point methods for nonconvex nonlinear programming: Jamming and numerical testing

被引:0
|
作者
Hande Y. Benson
David F. Shanno
Robert J. Vanderbei
机构
[1] Princeton University,Rutgers University
[2] New Brunswick,undefined
[3] Princeton University,undefined
来源
Mathematical Programming | 2004年 / 99卷
关键词
interior-point methods; nonconvex optimization; nonlinear programming; jamming;
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摘要
The paper considers an example of Wächter and Biegler which is shown to converge to a nonstationary point for the standard primal–dual interior-point method for nonlinear programming. The reason for this failure is analyzed and a heuristic resolution is discussed. The paper then characterizes the performance of LOQO, a line-search interior-point code, on a large test set of nonlinear programming problems. Specific types of problems which can cause LOQO to fail are identified.
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页码:35 / 48
页数:13
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