Algorithmsgreedy placement
Greedy Placement with Constraints
TT
Testlaa Team
May 14, 2026•1 min read
Place the most constrained item first—smallest domain often works.
Try this in Python
intervals = [(0, 2), (1, 3), (3, 4)]
intervals.sort(key=lambda x: x[1])
print(intervals[0])
Key takeaways
- Constraint propagation is greedy on CSP lite.
- Grid problems: scan order matters.
- Avoid floating compare without epsilon if geometry.
Tags:
GreedyPythonStudents
