Job Scheduling Algorithm: Maximize Profit with Deadlines in Computer Science
Explore the Job Scheduling Algorithm to maximize profit with job deadlines using greedy strategies with clear examples and mermaid diagrams.
Sudoku Solver Algorithm: Backtracking Number Puzzle Solution Explained with Examples
Learn how to solve Sudoku puzzles using the backtracking algorithm with Python examples, visual diagrams, and a step-by-step explanation of the Sudoku solver algorithm.
Z Algorithm: Linear Time String Matching Technique Explained with Examples
Learn the Z Algorithm, a powerful linear time string matching technique. Explore step-by-step explanations, worked-out examples, visual diagrams, and Python code to master efficient pattern matching.
Kruskal’s Algorithm: Minimum Spanning Tree Using Union-Find Explained with Examples
Comprehensive guide to Kruskal's Algorithm for Minimum Spanning Tree using the Union-Find data structure. Includes clear examples and visual diagrams.
A* Search Algorithm: Heuristic Pathfinding for Games and Maps
Learn A* Search Algorithm with step-by-step explanation, Python examples, and visual diagrams for pathfinding in games and maps. Discover how A* blends heuristics with cost-based graph traversal for optimal efficiency.
Floyd-Warshall Algorithm: All-Pairs Shortest Path Solution Explained with Examples
Learn the Floyd-Warshall Algorithm step by step with examples, visual diagrams, Python implementation, complexity analysis, and practical applications for finding shortest paths between all pairs of vertices in a graph.
Bellman-Ford Algorithm: Shortest Path with Negative Weights Explained
Comprehensive guide to Bellman-Ford algorithm explaining shortest path with negative weights, step-by-step examples, and detailed visualizations.
Dijkstra’s Algorithm: Shortest Path in Weighted Graphs Explained with Examples
Learn Dijkstra's Algorithm for finding the shortest path in weighted graphs with detailed explanation, step-by-step examples, and visual diagrams.
Depth-First Search (DFS): Recursive Graph and Tree Exploration
Learn Depth-First Search (DFS) for recursive graph and tree exploration with step-by-step explanations, Python examples, and visual diagrams for better understanding.
Breadth-First Search (BFS): Level-Order Tree and Graph Traversal Explained with Examples
Learn Breadth-First Search (BFS) algorithm step-by-step with clear examples, diagrams, and Python code for both trees and graphs. Discover how BFS works, its time complexity, and use cases.