Greedy Algorithms

Greedy algorithms make locally optimal choices at each step, hoping to find a global optimum. They are simple to implement and efficient, but don't always guarantee the optimal solution for all problems.

Content Coming Soon

This comprehensive guide on greedy algorithms will cover:

Topics to be covered:

  • Coin change problem
  • Activity selection and scheduling
  • Huffman coding
  • Fractional knapsack
  • Tasks and deadlines
  • Greedy vs Dynamic Programming
  • When greedy algorithms work and when they don't

CodeForces Challenge Problems

Practice greedy algorithms with these problems:

Easy

Activity Selection

Practice greedy choice with activity scheduling problems.

Greedy Scheduling
Solve Problem