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算法实验
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算法实验
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algorithm experiment
算法实验
在算法设计与分析领域,已有的基础工作基本是采用基于抽象,定理和证明的理论方法进行,注重算法时间复杂度,也即主要操作的渐近界。理论方法的好处是得出的结果是一般性成立的,与算法实现、运行平台等没有关系,并且渐近界是衡量一个算法在大规模问题上的性能的主要依据。然而,理论方法得出的结果不够具体,单凭纸上的算法也无法了解其实际性能。在算法设计与分析上,算法实验是算法理论的重要补充。值得注意的是,也有少部分的算法子领域,比如启发式算法领域,十分重视算法实验和算法的实际性能。总的来说,正如许多自然科学领域,算法理论和算法实验是相辅相承的。
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