Topological Sorting is a fundamental algorithm in computer science, primarily used on Directed Acyclic Graphs (DAGs). It provides a linear ordering of vertices such that for every directed edge u…
The Shortest Path problem is a cornerstone in computer science and graph theory, with applications ranging from network routing to geographic mapping. Dijkstra’s Algorithm is one of the most efficient…
The Minimum Spanning Tree (MST) is a fundamental concept in graph theory with numerous applications, including network design, clustering, and more. Kruskal’s Algorithm is one of the most efficient algorithms…
Graph coloring is a classic problem in computer science and discrete mathematics. It involves assigning colors to the vertices of a graph such that no two adjacent vertices share the…
The Word Ladder problem is a classic algorithmic challenge that involves transforming one word into another by changing a single letter at a time, with each intermediate word being a…
“`html Graphs are fundamental data structures in computer science, used to model relationships between objects. Efficient graph representation is crucial for optimizing various graph algorithms such as traversal, shortest path,…
Depth-First Search (DFS) is a fundamental graph traversal algorithm used to explore nodes and edges of a graph systematically. DFS is particularly useful for tasks such as pathfinding, topological sorting,…
Breadth-First Search (BFS) is a fundamental graph traversal algorithm used to explore nodes and edges of a graph systematically. BFS is particularly useful for finding the shortest path in unweighted…
Cycle detection in graphs is a fundamental problem in computer science with applications ranging from deadlock detection in operating systems to verifying the correctness of software dependencies. Detecting whether a…
Topological Sorting is a fundamental algorithm in computer science used to order the vertices of a Directed Acyclic Graph (DAG) such that for every directed edge u → v, vertex…
Aditya Bhuyan