Thanks a lot. But do you have a small example I can continue on? It
important that the values are not absolute, but fractions of the needed
quantities

ons. 20. mars 2024 kl. 15:21 skrev Meketon, Marc <
[email protected]>:

> In general, if you have variables rpos_i and rneg_i (the ith constraint),
> and you have:
>
>
>
> [linear equation i] = rpos_i – rneg_i
>
>
>
> Then (rpos_i + rneg_i) is the absolute value
>
>
>
> If you then have
>
> rpos_i + rneg_i <= z
>
>
>
> z would be the maximum absolute value, and then you just minimize  z.
>
>
>
> *From:* [email protected]
> <[email protected]> *On Behalf Of *Dušan
> Plavák
> *Sent:* Wednesday, March 20, 2024 7:02 AM
> *To:* Bjørnar Ness <[email protected]>
> *Cc:* [email protected]
> *Subject:* Re: diet problem disregarding cost
>
>
>
>
>
> *CAUTION:* This email originated outside the company. Do not click links
> or open attachments unless you are expecting them from the sender.
>
>
>
> Hi, feel free to send me an email. I did this ~ 9-10 years ago for our
> startup where we generate personalized nutrition plans for our clients
> using glpk.
>
>
>
> Basically you want to build bunch of inequalities and most probably you
> want to have more variables not only nutrients... Depend on your exact use
> case.
>
>
>
> On Wed, Mar 20, 2024 at 4:34 PM Bjørnar Ness <[email protected]>
> wrote:
>
> Can anyone point me to an diet problem example that tries to minimize
> max deviation in percentage for each nutrient, disregarding cost?
>
> --
> Bj(/)rnar
>
>
>
>
> --
>
> S pozdravom Dušan Plavák
>
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-- 
Bj(/)rnar

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