Connectivity in Graph
- Articulation Points (or Cut Vertices) in a Graph
- Biconnected Components
- Bridges in a graph
- Eulerian path and circuit
- Fleury’s Algorithm for printing Eulerian Path or Circuit
- Strongly Connected Components
- Count all possible walks from a source to a destination with exactly k edges
- Euler Circuit in a Directed Graph
- Length of shortest chain to reach the target word
- Find if an array of strings can be chained to form a circle
- Tarjan’s Algorithm to find strongly connected Components
- Paths to travel each nodes using each edge (Seven Bridges of Königsberg)
- Dynamic Connectivity | Set 1 (Incremental)
Graph Data Structure And Algorithms
Graph Data Structure is a collection of nodes connected by edges. It’s used to represent relationships between different entities. Graph algorithms are methods used to manipulate and analyze graphs, solving various problems like finding the shortest path or detecting cycles.
Table of Content
- What is Graph Data Structure?
- Components of a Graph
- Basic Operations on Graphs
- Applications of Graph
- Basics of 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
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