Algorithmsgreedy placement

Greedy Placement with Constraints

TT
Testlaa Team
May 14, 20261 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.

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