A SUBSPACE MODIFIED PRP METHOD FOR LARGE-SCALE NONLINEAR BOX-CONSTRAINED OPTIMIZATION

被引:1
|
作者
Cheng, Wanyou [1 ]
机构
[1] Dongguan Univ Technol, Coll Comp, Dongguan 523000, Peoples R China
关键词
Box-constrained optimization; Global convergence; PRP method; PROJECTED GRADIENT METHODS; SIMPLE BOUNDS; ALGORITHM; CONVERGENCE; PROGRAMS;
D O I
10.1080/01630563.2012.673216
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this article, we first propose a feasible steepest descent direction for box-constrained optimization. By the use of the direction and recently developed modified PRP method, we propose a subspace modified PRP method for box-constrained optimization. Under appropriate conditions, we show that the method is globally convergent. Numerical experiments are presented using box-constrained problems in the CUTEr test problem libraries.
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页码:1372 / 1385
页数:14
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