Greedy Algorithm Topics
Explore 5 popular greedy problems frequently asked in FAANG interviews.
- 01 Activity Selection Select maximum number of non-overlapping activities
- 02 Fractional Knapsack Maximize value in knapsack using fractions of items
- 03 Job Scheduling Maximize profit given deadlines for jobs
- 04 Minimum Platforms Minimum number of railway platforms required
- 05 Huffman Encoding Build minimum-length prefix codes for data compression
WONDERING, HOW DOES IT COVER PATTERNS?
These problems cover key greedy algorithm patterns asked in interviews:
Activity Selection →
Interval scheduling, selecting non-overlapping activities.
Fractional Knapsack →
Max value selection using ratios, greedy by value/weight.
Job Scheduling →
Schedule jobs with deadlines for maximum profit.
Minimum Platforms →
Overlapping interval counting with two pointers or sorting.
Huffman Encoding →
Build optimal prefix codes using min-heap.
Together, they ensure understanding of
interval scheduling, ratio-based selection, deadline scheduling, overlapping intervals, and priority queue techniques.