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When greedy gives optimal: A unified approach
Discrete Optimization ( IF 1.1 ) Pub Date : 2024-01-25 , DOI: 10.1016/j.disopt.2024.100824
Dmitry Rybin

We present necessary and sufficient conditions when a certain greedy object selection algorithm gives optimal results. Our approach covers known results for the Unbounded Knapsack Problem and Change Making Problem and gives new theoretical results for a variety of packing problems. We also provide connections between packing problems and certain bidirectional capacity installation problems on networks.



中文翻译:

当贪婪给出最优时:统一方法

当某种贪婪对象选择算法给出最优结果时,我们提出了充要条件。我们的方法涵盖了无界背包问题和找零问题的已知结果,并为各种包装问题提供了新的理论结果。我们还提供打包问题和网络上某些双向容量安装问题之间的联系。

更新日期:2024-01-29
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