MAJ du commentaire de la figure log.exp with sparse and full poly....

[kahina_paper1.git] / figures / EA_DK.txt

diff --git a/figures/EA_DK.txt b/figures/EA_DK.txt
index 5468c4c5f05d7fe994742ea7683530062b5a5b74..187bb3a690d480a5583334caaece5f869a4b341a 100644 (file)
--- a/figures/EA_DK.txt
+++ b/figures/EA_DK.txt
@@ -8,7 +8,7 @@
 200000         40              23              330.456         43                      
 250000         93.76           20              518.342         47                      
 300000         138.94          21              912.078         50                      
 200000         40              23              330.456         43                      
 250000         93.76           20              518.342         47                      
 300000         138.94          21              912.078         50                      

-350000         159.65          18              1746.53         22                      
+350000         159.65          18              1398.64         56                      

 400000         258.91          22              3112            20                      
 450000         339.47          23              
 500000         419.78          23
 400000         258.91          22              3112            20                      
 450000         339.47          23              
 500000         419.78          23


@@ -27,7 +27,7 @@
 
 #DK            sparse                          full                                    
                times           nb iter         times       nb iter             
 
 #DK            sparse                          full                                    
                times           nb iter         times       nb iter             

-5000           3.42            138             12.2491     186
+5000           3.42            138             638.572     9597

 50000          385.266         823             9.27        19
 100000         447.364         408             7.73        15
 150000         1524.08         552             8.64        21
 50000          385.266         823             9.27        19
 100000         447.364         408             7.73        15
 150000         1524.08         552             8.64        21