Introduction to Linear Programming in Python | Maxime Labonne

[utterances-bot]

Introduction to Linear Programming in Python | Maxime Labonne

A guide to mathematical optimization with Google OR-Tools

https://mlabonne.github.io/blog/linearoptimization/

[DeanStra]

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.

[Wang-Yong2018]

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

[mlabonne]

Thanks for your feedback!

@DeanStra This is strange, is it value returned by solver.wall_time() or another measure provided by IDLE?

[DeanStra]

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. <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> Virus-free. www.avg.com <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>

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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? — Reply to this email directly, view it on GitHub <#5 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AZEUNIUH4EO5ICJV73GGXP3VJYSN3ANCNFSM5VZYBBFQ> . You are receiving this because you were mentioned.Message ID: ***@***.***>

[mlabonne]

@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.