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If a Greedy Algorithm can solve a problem, then it generally becomes the best method to solve that problem as the Greedy algorithms are in general more efficient than other techniques like Dynamic Programming. An optimization problem can be solved using Greedy if the problem has the following property: At every step, we can make a choice that looks best at the moment, and we get the optimal solution of the complete problem.
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Greedy algorithms are used for optimization problems. Greedy is an algorithmic paradigm that builds up a solution piece by piece, always choosing the next piece that offers the most obvious and immediate benefit. Write a program to print all permutations of a given string.Unique paths covering every non-obstacle block exactly once in a grid.Print all possible paths from top left to bottom right of a mXn matrix.Count all possible paths from top left to bottom right of a mXn matrix.Count number of ways to reach destination in a Maze.The Knight’s tour problem | Backtracking-1.Warnsdorff’s algorithm for Knight’s tour problem.Printing all solutions in N-Queen Problem.Shortest Path in a weighted Graph where weight of an edge is 1 or 2.Printing Paths in Dijkstra’s Shortest Path Algorithm.Java Program for Dijkstra’s Algorithm with Path Printing.Java Program for Dijkstra’s shortest path algorithm | Greedy Algo-7.Dijkstra’s shortest path algorithm in Java using PriorityQueue.Dijkstra’s Shortest Path Algorithm using priority_queue of STL.Dijkstra’s shortest path algorithm using set in STL.Dijkstra’s Algorithm for Adjacency List Representation | Greedy Algo-8.Dijkstra’s shortest path algorithm | Greedy Algo-7.Prim’s MST for Adjacency List Representation | Greedy Algo-6.Prim’s Minimum Spanning Tree (MST) | Greedy Algo-5.Kruskal’s Minimum Spanning Tree Algorithm | Greedy Algo-2.Activity Selection Problem | Greedy Algo-1.ISRO CS Syllabus for Scientist/Engineer Exam.ISRO CS Original Papers and Official Keys.GATE CS Original Papers and Official Keys.