算法技术手册线性性能-阿里云

《算法技术手册》一2.4.5 线性对数算法的性能

2.4.5 线性对数算法的性能性能指标很好地描述了同类算法的共同行为。为了更好地阐述算法在实践中的行为，我们定义了一个函数t(n)，用于表示算法解决样本规模为n的问题所需要的时间。分治法是解决问题的一个高效方法，它将规模为n的问题划分成（大致相等的）两个规模为n/2的子问题，并通过递归解决问题。这些...

《算法技术手册》一2.4.4 线性算法的性能

2.4.4 线性算法的性能要得到某些问题的解明显需要更多的努力。一个孩子能够计算7 + 5等于12，那么要计算37 + 45会有多难呢？更具体一点来讲，相加两个n位的数an-1...a0 + bn-1...b0得到一个（n + 1）位的数cn...c0有多难？相加算法使用了如下的原生操作：例2-2...

相册服务中的故事生成算法介绍

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Go语言核心编程 - 数据结构和算法

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神经网络概览及算法详解

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《算法技术手册》一2.4.3 次线性级算法O(nd)(d<1)的性能

2.4.3 次线性级算法O(nd)(d<1)的性能在某些情况下，次线性算法的性能要好于线性算法，但还是不如对数算法高效。第10章将会讨论多维k-d树，它能够高效地划分n个d维的点。如果k-d树是平衡树，那么区间查询的性能为，在二维的情况下，最终性能为O(sqrt(n))。

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更新时间 2023-01-14 23:40:34

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