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. Greedy algorithms are used for optimization problems.
- Connect n ropes with minimum cost
- Graph coloring
- Fractional Knapsack Problem
- Minimize Cash Flow among a given set of friends who have borrowed money from each other
- Find minimum time to finish all jobs with given constraints
- Find maximum sum possible equal to sum of three stacks
- Dail’s Algorithm
- Boruvka’s algorithm
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- Activity Selection Problem | Greedy Algo-1
- Huffman Coding | Greedy Algo-3
- Kruskal’s Minimum Spanning Tree Algorithm | Greedy Algo-2
- Greedy Algorithm to find Minimum number of Coins
- Job Sequencing Problem | Set 1 (Greedy Algorithm)
- Value in a given range with maximum XOR
- Kruskal’s Algorithm (Simple Implementation for Adjacency Matrix)
- Prim’s Algorithm (Simple Implementation for Adjacency Matrix Representation)
- Number of chocolates left after k iterations
- Subarray whose absolute sum is closest to K