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quicksort.cpp
- quicksort的实现 三种写法,主要针对一些边界问题的优化
SortProject
- 各种经典排序算法的C++实现:堆排序,归并排序,桶排序,快排,希尔排序,外部排序。-serval famous sort algorithms: HeapSort, MergeSort, RadixSort, QuickSort, ShellSort, OutSort.
quickSort
- 快排的实现。根据算法简单的实现了。可能还有些BUG,只是经过了简单的测试-Fast row implementation. According to a simple algorithm to achieve. May also be some BUG, but after a simple test
QuickSort
- 快排,快速排序算法,里面包含例子,并且有原始版本,有改进: 去除尾递归,有去除尾递归, 改进2):将较短的区间使用递归去排序. 较长的区间用循环去排序.-Fast discharge, fast sorting algorithm, which contains examples, and there is the original version, there are improvements: removal of tail
source_code
- 1.排序算法:快排,插入排序,选择排序,冒泡排序,堆排,归并排序 2.无向图:建立邻接表,并深度遍历 3.二叉树:建树,插入叶子节点并删除,计算深度及高度,前序中序后序遍历,以及用栈实现的非递归遍历 4.二叉排序树:建树并插入、删除结点 5.通讯录:有主界面,能添加,删除查找相应的数据-1.sort:quicksort select sort,insert sort,heap sort.etc. 2.graph:cr
QuickSort
- 快排算法,基于分治策略,递归实现,适合数据结构的初学者研究。-Fast row algorithm based on divide and conquer strategies, recursive implementation, suitable for beginners study of data structures.
QuickSort
- 经典快速排序算法,适合初学者理解学习,基于《算法导论》中快排的伪代码实现的-The classic Quicksort algorithm suitable for beginners to understand, based on the pseudo-code in Introduction to Algorithms.
QuickSort
- MPICH2实现的并行快排算法,VS2005编译通过-The MPICH2 implementation fast parallel row algorithm VS2005 compiled by
QuickSort
- java版的快速排序算法,能够帮助初学者理解快排的工作流程-java version of the quick sort algorithm, can help beginners understand the workflow fast row
quicksort
- 快速排序算法及其优化,在序列长于某个给定值时递归采用快速排序,小于这个值时用插入排序代替快排,以优化快速排序的性能,同时程序记录优化前后的程序耗时给出比较。-Quick sort algorithm and optimization, in sequence longer than a given value recursively using quick sort, is less than this value quickly re
QuickSort
- 算法课上学习了快速排序,这是我课下自己实现的快排,希望对大家有用!-Solution to quicksort problem
quicksort
- 快排算法的改进,当子问题规模小于k时使用简单插入排序算法,可以减小快排的运行时间-Fast row improved algorithm, when the scale of the problem child of less than k using a simple insertion sort algorithm can reduce the running time of fast row
QSort
- 快排递归算法的实现,测试数据从10000到100000000,并通过计时函数计算不同规模的数据递归快速排序所用的时间-Row fast recursive algorithm, test data 10 thousand to 100 million, and calculate the different sizes of data recursive quicksort time used by the timing functi