mlabonne
Introduction to Linear Programming in Python | Maxime Labonne
Introduction to Linear Programming in Python | Maxime Labonne
A guide to mathematical optimization with Google OR-Tools
https://mlabonne.github.io/blog/linearoptimization/
This is very useful, thanks! Out of interest why did it take my program 184037.00 milliseconds to solve? Is your pc really more than 2,000 times faster? I was entering the code in IDLE.
edit: the answer comes ~instantaneously but IDLE says it's taking a number of seconds.
Useful blog on explain OR tools with interested war game. It is ready user friendly and OR tools and support multi model.
================= Solution ================= Solved in 1.00 milliseconds in 2 iterations
Optimal power = 1800.0 💪power Army:
- 🗡️Swordsmen = 6.0000000000000036
- 🏹Bowmen = 0.0
Thanks for your feedback!
@DeanStra This is strange, is it value returned by solver.wall_time() or another measure provided by IDLE?
Hi Maxime I'm new to python and don't really understand your question. FWIW I ran the code in Jupyter Notebooks and am getting times of 1-3 milliseconds. Will provide more details upon request.
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On Fri, May 13, 2022 at 11:05 AM Maxime Labonne @.***> wrote:
Thanks for your feedback!
@DeanStra https://github.com/DeanStra This is strange, is it value returned by solver.wall_time() or another measure provided by IDLE?
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@DeanStra No problem, I just wanted to check where this "184037.00 milliseconds" value comes from. It's probably nothing important, I'm glad if it works better for you with Jupyter Notebook.