Calc solvers - what to say in the Calc Guide
Drew Jensen
drewjensen.inbox at gmail.com
Thu May 14 23:55:16 UTC 2020
hmm - there are bits and pieces here and there.
For example the first two choices (DEPS & SCO) have some explanation over
at AOO wiki
https://wiki.openoffice.org/wiki/NLPSolver
If that is still relevant for LibreOffice I can't say, but likely.
CoinMD (which I assume here is type of Coin-MP) has a lot of generalized
references, even a wiki page with a paragraph or two that might be worth
drafting for service here:
https://en.wikipedia.org/wiki/COIN-OR
anyway - I'm just using DDG to search for info on the different solver
types, and you get the idea.
There is a couple of examples of tutorials the reference solvers in Calc
(one of which actually uses the same example data to show how to solve both
in Excel and Calc), but the couple I reviewed only use one as an example.
I did find one for Excel that has an over view which I thought was a decent
balance of information on the three solver models available there at:
https://www.tutorialspoint.com/excel_data_analysis/advanced_data_analysis_optimization_with_excel_solver.htm
IDK if any of the helps, hope it does.
Best wishes,
On Thu, May 14, 2020 at 7:19 PM Kohei Yoshida <kohei at libreoffice.org> wrote:
> On 10.05.2020 10:59, Stephen Fanning wrote:
>
> > What guidance can I insert into the Calc Guide to help the user if he
> > wonders which algorithm to select?
>
> This is strictly my personal opinion.
>
> Which optimization solver to pick really depends on the characteristics
> of the data being optimized, how (well) the algorithm is implemented in
> the versions included in Calc, the accuracy goal etc. etc. It's more an
> art than science, and each user really needs to experiment with various
> solvers to see which one works best for his or her optimization cases.
> My personal opinion is that it is probably beyond the scope of Calc user
> guide to provide any sort of guidance on how to select a solver.
>
> Feel free to disagree with me on this. I'm not an expert. :-)
>
> Kohei
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