Description:The number of connected branches in the output graph is required.The simplest graph traversal problem, though simple, examines the most basic traversal knowledge.There are two common ways to traverse a graph: depth-first trav
Data structure (C implementation) ------- graph breadth first traversal, ------- breadth
[This article is my own learning notes. You are welcome to repost it, but please note the Source: http://blog.csdn.net/jesson20121020]
Algorithm Description:
If the initial state of graph G is that all vertices have not been accessed, and any vertex vi in G is the initial
1. Call Code entry:
Using System;
Namespace Graph _ Graph Traversal {Internal class program {private static void Main (string[] args) {
var a = new adjacencylist
2. Figure-Diagram node class:
Namespace Graph _ Graph
Graphic Introduction to depth first search
1. Depth First Search Introduction
The depth-first search of the graph (Depth first) is similar to the tree's ordinal traversal.
Its idea: Assuming that the initial state is that all vertices in the diagram are not accessed, from a vertex V, the vertex is first accessed, and then the depth-first search traversal
There are two kinds of traversal algorithms for graphs: depth-first search traversal and breadth-first search traversal. The depth-first search traverses similar-to-tree sequential traversal. Breadth-first search traverses a similar sequence traversal to the tree. Only the
Deep search and wide search of graphsReview the next two tree, the deep search and wide search.From the graph's traversal. There are two ways to traverse a graph: depth-first traversal (Depth, first search), breadth-priority traversal (breadth-search), its classic application maze, n-Queen, binary tree
[This is my own study notes, welcome reprint, but please specify the source:http://blog.csdn.net/jesson20121020]
Algorithm Description:The initial state of Figure g is that all vertices have not been accessed, and in g any selected vertex VI is the initial starting point, then the breadth-first traversal can be defined as follows: first, access to the initial starting point VI, and then go to all the adjacency points of VI w1,w2,..., wk; Then, go
Breadth-First traversalBreadth-first traversal is a very common and common way to traverse a graph, except for BFS and DFS, which is the depth-first traversal method, which I will write in my next blog post.Traversal processI believe that every person who read this blog can read the adjacency list storage diagram.Do not understand the person, please first learn t
This paper illustrates the adjacency table storage and breadth first traversal method of C + + implementation graph. Share to everyone for your reference. Specifically as follows:
Example: Creating a non-direction diagram as shown in the figure
It is known from the above figure that the figure has 5 vertices, a,b,c,d,e respectively, with 6 edges.
Sample input (enter in this format):
56Abcde0 10 20 32
The implementation of the depth-first traversal of the non-graph, and the adjacency table for the non-graph represents the representation of the graph: adjacency Matrix and adjacency table.The example diagram used by the program is:Key points of implementation:Each node has three status -1,0,1, which indicates that no
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Data Structure: Figure 2 (BFS
Theory:
The depth_fisrst search traversal is similar to the first root traversal of a tree. It is a promotion of the first root traversal of a tree:
The breadth_first search traversal process is similar to the hierarchy traversal process of the tree:
JAVA Implementation
In the basic algorithm of graph, the first need to contact is the graph traversal algorithm, according to the order of access nodes, can be divided into depth-first search (DFS)和Breadth First Search (BFS)。 DFS (deep first search) algorithmDepth-first-searchDepth-first algorithm is an algorithm for traversing or searching a tree or
Implementation of undirected graph breadth-first traversal in C Language
Here we record the breadth-first traversal of undirected graphs.Adjacent tableThe following figure shows an example of the graph used. For details about the Graph Representation, refer to the blog: undi
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