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The proof of FFD(L)≤11/9OPT(L) +7/9 被引量:2
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作者 LI Rongheng, YUE Minyi1. Department of mathematics, Hunan Normal University, Changsha 410081, china 2. institute of applied mathematics, chinese academy of sciences, beijing 100080, china 《Chinese Science Bulletin》 SCIE EI CAS 1997年第15期1262-1265,共4页
THE one-dimensional bin-packing problem is defined as follows: for a given list L={p<sub>1</sub>, p<sub>2</sub>,…, P<sub>n</sub>}, where 0【p<sub>i</sub>≤1 denotes the... THE one-dimensional bin-packing problem is defined as follows: for a given list L={p<sub>1</sub>, p<sub>2</sub>,…, P<sub>n</sub>}, where 0【p<sub>i</sub>≤1 denotes the item and its size as well, we are to pack all the items in-to bins, each of which has a capacity 1, and the goal is to minimize the number of bins used.The first-fit-decreasing (FFD) algorithm is a famous approximate algorithm for the bin-pack-ing problem. The FFD algorithm first sorts all the list into non-increasing order and then pro-cesses the pieces in that order by placing each item into the first bin into which it fits. 展开更多
关键词 BIN-PACKING MINIMAL counter-example weigtht-function FFD-algorithm.
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Global convergence property of s-dependent GFR conjugate gradient method 被引量:10
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作者 WANG Changyu 1,2 and ZHANG Yuzhong\+1 1. institute of Operations Research in Qufu Normal University, Qufu 273165, china 2. institute of applied mathematics, chinese academy of sciences, beijing 100080, china 《Chinese Science Bulletin》 SCIE EI CAS 1998年第23期1959-1965,共7页
An \%S\%_dependent GFR method and a generalized conjugate gradient method are designed. Two estimated values of upper bounds for the ratio of β k to β FR k are given. The two convergence theorems are proved. The glo... An \%S\%_dependent GFR method and a generalized conjugate gradient method are designed. Two estimated values of upper bounds for the ratio of β k to β FR k are given. The two convergence theorems are proved. The global convergent properties of \%s\%_dependent GFR method are obtained adopting several choice strategies of steplength and some results in recent literature are extended. 展开更多
关键词 steplength linear SEARCH global CONVERGENCE CONJUGATE gradient.
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A trust region algorithm for bilevel programing problems 被引量:3
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作者 LIU Guoshan 1, HAN Jiye 2 and WANG Shouyang 3 1. Department of mathematics, beijing Normal University, beijing 100875, china 2. institute of applied mathematics, chinese academy of sciences, beijing 100080, china 3. institute of Systems Science, Chi 《Chinese Science Bulletin》 SCIE EI CAS 1998年第10期820-824,共5页
A trust region algorithm is proposed for solving bilevel programming problems where the lower level programming problem is a strongly convex programming problem with linear constraints. This algorithm is based on a tr... A trust region algorithm is proposed for solving bilevel programming problems where the lower level programming problem is a strongly convex programming problem with linear constraints. This algorithm is based on a trust region algorithm for nonsmooth unconstrained optimization problems, and its global convergence is also proved. 展开更多
关键词 bilevel PROGRAMMING PROBLEM TRUST REGION algorithm global convergence.
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