CSE505/Assignment2/README.md

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2024-03-09 16:25:30 -05:00
# Assignment 1
## Part A
### clingo
## Part B
### clingo
| size | processors | deadline | result | time |
| ---- | ---------- | -------- |
| 10 | 3 | 20 | yes | 0.031 |
| 20 | 6 | 30 | no | 4.498 |
| 20 | 8 | 30 | yes | 0.233 |
| 30 | 6 | 60 | unknown | too long to solve |
| 30 | 8 | 60 | yes | 2.961 |
| 30 | 8 | 80 | yes | 6.701 |
| 30 | 8 | 90 | yes | 9.245 |
With either too high or too low constrain, the runtime grows exponentially. If the constrain is too low, it must iterate through all answers to find one correct result. If it is too high, then it may waste too much time fill the first processor.
### Google OR-Tools
## Part C
### clingo
| size | ans | time |
| ---- | --- | ------ |
| 5 | 5 | 0.678 |
| 10 | 9 | 0.866 |
| 15 | 13 | 1.122 |
| 20 | 17 | 1.902 |
| 25 | 21 | 6.379 |
| 30 | 25 | 34.466 |
One important factor of the runtime is the max number of cut to check. If we set max = 10 with size = 30, we get the time of 0.914. However, it is impossible to get the max size before running, I believe this time would be a great representation of the runtime of clingo.
### AMPL