The purpose of this project is to calculate the fastest and cheapest way to pay off your loans. Currently it is able to perform up to 11-14 loans withouth getting into insane times. This uses the premise of the stacking method and 75E2 snowball methods. Inspiration came from this stackoverflow question.
v1.2 - Integrate the idea of balance transfers
v2 - Branch off main, Use remote workers on network to handoff calculations in bulk to spread the load and cut time.
v3 - Use golangjs package to port it over from same code base to a pwa github hosted site
Edit the loans.yaml file that has some examples and run it from command line. The output will be the index array order of how to pay them off followed by the time in months and amount paid.
| Loans | Permutations | Time To calculate |
|---|---|---|
| 1 | 1 | >1s |
| 2 | 2 | >1s |
| 3 | 6 | >1s |
| 4 | 24 | >1s |
| 5 | 120 | >1s |
| 6 | 720 | >1s |
| 7 | 5,040 | >1s |
| 8 | 40,320 | >1s |
| 9 | 362,880 | >1s |
| 10 | 3,628,800 | 4s |
| 11 | 39,916,800 | 48s |
| 12 | 479,001,600 | 10m |
| 13 | 6,227,020,800 | 2h |
| 14 | 87,178,291,200 | 2d |
| 15 | 1,307,674,368,000 | 219d |
Time to calculate was run on a machine with Windows and a 11381 benchmark score. Your times may vary. Average memory usage was 6MB of ram throughout the process.
Im workings towards achieving 14 loans in under 24 hours, by any means whether it be clustering, optimizations or anything else. The faster I can process all this data the better. It will also allow me to introduce better side ideas into it like balance transfers becouse ultimately thats just another loan I would be tossing into the mix of permutations.