From c18407ffc4e9394dd7573d81b3109ec0136dc7ce Mon Sep 17 00:00:00 2001 From: Kahina Date: Wed, 4 Nov 2015 16:33:25 +0100 Subject: [PATCH 1/1] =?utf8?q?MAJ=20de=20la=20figure=204:j'ai=20fait=20deu?= =?utf8?q?x=20figures=20differente=20pour=20le=20m=C3=AAme=20graphe=201:?= =?utf8?q?=20sans=20mettre=20l'axe=20x=20&=20y=20en=20log=202:=20l'axe=20x?= =?utf8?q?=20&=20y=20en=20log=20(set=20logscale=20x,=20set=20logscale=20y)?= =?utf8?q?=20moi=20je=20prefere=20la=202,=20vous=20commentaire....=3F?= MIME-Version: 1.0 Content-Type: text/plain; charset=utf8 Content-Transfer-Encoding: 8bit --- figures/EA_DK.pdf | Bin 8759 -> 9423 bytes figures/EA_DK.plot | 14 +++++++------- figures/EA_DK.txt | 8 +++++++- figures/EA_DK1.pdf | Bin 0 -> 9761 bytes paper.tex | 7 +++++++ 5 files changed, 21 insertions(+), 8 deletions(-) create mode 100644 figures/EA_DK1.pdf diff --git a/figures/EA_DK.pdf b/figures/EA_DK.pdf index 1b6fe7b95538ef154d5963dc722a6926c5e5bb56..665aaa4865daf31d3c74e238f14bbab3c6a5eacb 100644 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We took into account the execution time, the number of iteration \label{fig:04} \end{figure} +\begin{figure}[htbp] +\centering + \includegraphics[width=0.8\textwidth]{figures/EA_DK1} +\caption{Execution times of the Durand-Kerner and the Ehrlich-Aberth methods on GPU} +\label{fig:0} +\end{figure} + Figure~\ref{fig:04} shows the execution times of both methods with sparse polynomial degrees ranging from 1,000 to 1,000,000. We can see that the Ehrlich-Aberth algorithm is faster than Durand-Kerner -- 2.39.5