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Research on Data Structure-Oriented Performance of the Expert-Chosen Algorithm

机译:面向数据结构的专家选择算法性能研究

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摘要

For the complex constraints and large set of input data, we analyze the expert-chosen algorithm and its physical characteristics like data storage, exchange and operation. Based on three different data structures, we study the performance and resource consumption of the algorithm. The experimental results show that the associative arrays are more suitable for the physical characteristics of the algorithm and the implementation has an obvious speed advantage and can improve system resource utilization.
机译:对于复杂的约束条件和大量的输入数据,我们分析了专家选择的算法及其物理特性,例如数据存储,交换和操作。基于三种不同的数据结构,我们研究了该算法的性能和资源消耗。实验结果表明,关联数组更适合该算法的物理特性,并且实现具有明显的速度优势,可以提高系统资源的利用率。

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