Graph Traversal Techniques In Data Structure

• Graph Traversal Methods
• Graph Traversal Technique
• Graph Traversal Algorithms
• Dfs Graph Traversal
• Bfs Graph Traversal
• Breadth First Graph Traversal

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Graph Traversal Techniques In Data Structure

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Intro To Graphs Video 6 Tree Vs Graph Traversals YouTube

Table of Content What is Graph Data Structure Components of a Graph Introduction to Graph BFS and DFS in Graph Cycles in Graph Shortest Path in Graph Minimum Spanning Tree Topological Sorting Connectivity in Graph Maximum Flow in Graph Some must do Problems on Graph Some Quizzes Introduction to Graph Introduction to Graphs Overview A graph is a non-linear data structure, which is represented by vertices (nodes) and edges. Every pair of vertices is connected with one edge between them. Graph has many real-life applications, which we can see in our day-to-day life.

Graph Traversal Algorithm Depth First Search Data Structure Part

Graph Traversal Techniques In Data StructureThe DFS algorithm works as follows: Start by putting any one of the graph's vertices on top of a stack. Take the top item of the stack and add it to the visited list. Create a list of that vertex's adjacent nodes. Add the ones which aren't in the visited list to the top of the stack. Keep repeating steps 2 and 3 until the stack is empty. 1 Weighted Graph These graphs involve edges or paths with assigned values referred to as weights These values can signify various factors such as the distance between two points like finding the shortest path between workstations in an office network They may also represent the speed of data packets in a network or the available bandwidth

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