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提出了多维约束下下模函数最大值问题,分析其在组合优化中的重要应用。
The problem of maximizing a submodular set function with multiple constraints is considered, which has important application in combinatorial optimization theory.
第六章,由第五章求解无约束问题的多维滤子信赖域修正算法出发,将其推广到界约束乃至凸约束的优化问题。
Numerical results show that the present algorithm is efficient and reliable. The last chapter, we present a modified filter trust region method for bound constrained problems.
These other two, primaries and higher dimensions, they're both great points.
另外两个约束条件,初选和多维度,这二者都是很有现实意义的
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