quicksort algorithm with example in data structure

exchange. The corresponding source code is as follows: public void Reversseqlist (seqlist{int tmp = 0;int len = L.getlength ();for (int i = 0; i{TMP = L[i];L[i] = l[len-i];L[len-i] = tmp;}} The algorithm only scans the sequence of the data elements in order to complete the inversion, so the time complexity is O (n). The running effect is as shown in the figure: Also, for

1. Common data structure Linear: Array, linked list, queue, stack, block array (array + linked list), hash table, two-terminal queue, Bitmap (bitmap) Tree: Heap (large top heap, small top heap), Trie tree (Letter Tree or dictionary tree), suffix tree, suffix Tree Group, binary sort/lookup tree, B+/b-,avl tree, Treap, red-black tree, splay tree, Segment tree, tree-like array Figure: Figure Other: And ch

Storage Structure 4. Abstract Data Type: defines the relationship between data elements in a data object and operations on data elements. Algorithm 1. algorithm Definition 2. Features:

comparison operations. The algorithm can be thought of as a variant of the insertion sort, called a binary lookup insert sort.Algorithm Analysis1. A stable2. Best case: (n-1)The best case is that the sequence is already in ascending order, in which case the comparison operation needs to be done (n-1).Worst case: N (n-1)/23. The worst case scenario is that the sequence is sorted in descending order, then there is a comparison of n (n-1)/2 times: The 2

This article is a common data structure and algorithm collation summary of the next, the previous article is mainly on the common information structures to summarize, this article is mainly to summarize some common algorithm related content, the article if there are errors, welcome to point out. 一、概述二、查找算法三、排序算法四、

composed of different storage structures. For example, the linear table is the simplest logical structure, if the linear table is stored sequentially, this data structure is the sequential table, if the linear table is stored in a chained way, this data

Starting with this article, we introduce the graph-related algorithms, which is also the first lesson note for the second part of the algorithms online course. The application of graphs is very extensive, there are many useful algorithms, of course, there are many problems to be solved, according to the nature, the graph can be divided into the direction of the graph and the map. In this paper, we introduce the direction-free graph first. The reason to study the graph is that it is widely used

-*-# author:liu Jiang # Python 3.5 class Bstnode: "" Defines a binary tree node class. Based on the discussion algorithm, some problems such as judging data types are neglected. "" "Def __init__ (self, data, Left=none, Right=none):" "Initialize:p Aram Data: node-stored:p Aram left: node Zuozi :p Aram Right: "" "s

like this, you may directly write simple algorithms, such as writing a program, but there are some interesting ways to do this, for example, how to express it and how to make it more efficient .. wait. (3) In universities, it is okay to learn basic professional courses, such as data structures, discretization, and operating systems. I have encountered some basic data