From ed76d07345a55d9e998a16a6e7519c14c1be1a45 Mon Sep 17 00:00:00 2001 From: coolneng Date: Tue, 20 Apr 2021 00:02:38 +0200 Subject: [PATCH] Add user manual to summary --- docs/Summary.org | 30 ++++++++++++++++++++++++++++++ docs/Summary.pdf | Bin 455914 -> 502627 bytes 2 files changed, 30 insertions(+) diff --git a/docs/Summary.org b/docs/Summary.org index d228a91..6331737 100644 --- a/docs/Summary.org +++ b/docs/Summary.org @@ -84,3 +84,33 @@ Para mejorar la eficiencia del algoritmo, usamos la heurística del primer mejor } \KwRet{$finalSolution$} \end{algorithm} +** Implementación + +La práctica ha sido implementada en /Python/, usando las siguientes bibliotecas: + +- NumPy +- Pandas + +*** Instalación + +Para ejecutar el programa es preciso instalar Python, junto con las bibliotecas *Pandas* y *NumPy*. + +Se proporciona el archivo shell.nix para facilitar la instalación de las dependencias, con el gestor de paquetes [[https://nixos.org/][Nix]]. Tras instalar la herramiento Nix, únicamente habría que ejecutar el siguiente comando en la raíz del proyecto: + +#+begin_src shell +nix-shell +#+end_src + +*** Ejecución + +La ejecución de ambos algoritmos se realiza mediante el siguiente comando: + +#+begin_src shell +python src/main.py +#+end_src + +Los parámetros posibles son: + +| dataset | algoritmo | +| Cualquier archivo de la carpeta data | greedy | +| | local | diff --git a/docs/Summary.pdf b/docs/Summary.pdf index 51ff2b575f400d86ef31b9859d30a52447989e14..389ea368b9b06c40dcf63aded587b7f5942b2916 100644 GIT binary patch delta 199224 zcmZU(Q*@vW&?Fq&n%K5&+qUgw;^c{KbHa&j+qRtvCdS0tcmMr&Z@#-er!T8ccU4!P z|HV66B@7G&4FzikADa2WPRvZ~WNHh?&kx5WZ{cX=ZcWV2#Y~(rFb7TzTxG~PZ80MR z-h5&5>q6TkOHV8|Kz5Su{ND1D^MNsC8s8tw9>#vUq1*E2a!CBy_9~8-`tl+@-yF&# z-JamMbhc#0T2OMkNGA;llZG{6p&f;?;w~bL-W?^|L{mxIj;6-0#VE?-tf`Jh3;aeF zMuX&q)9k|2wH={wIo5Lk+%qKSlHg=vZErxs+>k6S*aMOiA$P!~gLVgQuFYXF;;{#B 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