Algorithmsgreedy check
Greedy Feasibility Checks
TT
Testlaa Team
May 14, 2026•1 min read
After building a candidate, validate constraints in one linear pass.
Try this in Python
def valid(order, deadlines):
t = 0
for job, d in zip(order, deadlines):
t += job
if t > d:
return False
return True
print(valid([2, 1], [3, 3]))
Key takeaways
- Validation catches bugs faster than proof attempts.
- Randomized stress vs brute for small n.
- Separate construction from checking for clarity.
Tags:
GreedyPythonStudents
