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Comparative analysis of the efficiency of various dynamic programming algorithms for the knapsack problem

机译:对背包问题的各种动态规划算法效率的比较分析

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When designing electronic circuits, we often need to solve discrete optimization problems. One of the basic methods for solving such problems is the method of dynamic programming. The paper is devoted to a comparative study of different versions of the dynamic programming method for the knapsack problem. The formulation of the problem and various versions of dynamic programming method are discussed. These versions are experimentally evaluated on randomly generated instances. We draw conclusions about the efficiency of various variants for dynamic programming based on experimental data.
机译:在设计电子电路时,我们经常需要解决离散优化问题。解决这些问题的基本方法之一是动态编程方法。本文致力于对背包问题的不同版本的不同版本的比较研究。讨论了对问题的制定和各种版本的动态编程方法。这些版本在实验上评估随机生成的实例。基于实验数据,我们得出关于动态规划各种变体效率的结论。

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