juniorGreedy Algorithms
Activity Selection Problem
Updated Apr 28, 2026
Short answer
Selecting the maximum number of non-overlapping activities based on finish times.
Deep explanation
Greedy algorithms are defined by the 'Greedy Choice Property'. Selecting the maximum number of non-overlapping activities based on finish times. Unlike backtracking, once a choice is made, it is never reconsidered.
Real-world example
Giving change with the fewest coins in a standard currency.
Common mistakes
- Assuming greedy works for all optimization problems without proof.
Follow-up questions
- Is Greedy always faster than DP?