To be honest, when I looked at the data structure before, I didn’t pay more attention to the heap until now… .
Heap data structure is an array phenomenon, which can be regarded as a complet
Data structure is the way a computer stores and organizes data. Data structure refers to a collection of data elements that have one or more specific relationships with each other. Under normal circumstances, a carefully selected data structure can bring higher operating or storage efficiency. Data structure is often related to efficient retrieval algorithms and indexing techniques.
To be honest, when I looked at the data structure before, I didn’t pay more attention to the heap until now… .
Heap data structure is an array phenomenon, which can be regarded as a complet
1, construction
2, copy construction
3, destruction
4. depth
5, Number of leaves
6. Pre-order traversal recursive non-recursive
7, Middle-order traversal recursi
Sparse matrix
in matrix, if the number of elements with a value of 0 is far more than the number of non-zero elements , The matrix is called a sparse matrix
#include #include#include
AVL tree is a balanced search binary tree, which satisfies the nature of search tree (see article on binary search tree, link : Binary search tree), and meets the balance tree
Nature (left an
1. Initialization
//Create an empty single-linked list LinkList InitiateLinkList( ){ LinkList head; //Head pointer head = malloc(sizeof(node)); //Build a node dynamically, which is the head n
One array to realize two stacks, there are several ways:
1. The odd-numbered positions of the array store the elements of one stack, and the even-numbered positions store the elements of th
Subject link: http://poj.org/problem?id=2528
——————————————-. < br> Mayor’s posters
Time Limit: 1000MS Memory Limit: 65536K
Total Submissions: 60379 Accepted: 17492
Description
The ci
Click to get the window
The rubbish topic destroys my youth.
The word problem of the deque, the template problem of the sliding window?
Why are all playing simulations except me, I us
/* * 1. Recursive and non-recursive implementation of preorder traversal* 2. Intermediate traversal Recursive and non-recursive implementations of * 3. Recursive and non-recursive implementations o