MAJ Biblio

[kahina_paper1.git] / figures / EA_DK.txt

diff --git a/figures/EA_DK.txt b/figures/EA_DK.txt
index 0be66d1f1ef266ab5af4e64d2f3138560e83f27f..a22a15155b05d7a987a9b5e4bd90a6939da92250 100644 (file)
--- a/figures/EA_DK.txt
+++ b/figures/EA_DK.txt
@@ -1,33 +1,33 @@
 # First data block (index 0)
 # First data block (index 0)

-#EA            sparse                          full                                            
+#EA            sparse                          full                                                                    

 #Taille_Poly   times           nb iter         times           nb iter                         
 5000           0.40            17              0.748784        25
 #Taille_Poly   times           nb iter         times           nb iter                         
 5000           0.40            17              0.748784        25

-50000          3.92            17              139.87          195             
-100000         12.45           16              1459.35         31                      
-150000          28.67          17              754.24          27                      
-200000         40              23              718.623         27                      
-250000         93.76           20              715.554         27                      
-300000         138.94          21              1089.61         27                      
-350000         159.65          18              1746.53         22                      
-400000         258.91          22              3112            20                      
-450000         339.47          23              
-500000         419.78          23
-550000         415.94          19
-600000         549.70          21
-650000         612.12          20
-700000         864.21          24
-750000         940.87          23
-800000         1247.16         26
-850000         1702.12         32
-900000         1803.17         30
-950000         2280.07         34
-1000000                2400.51         30
+50000          3.92            17              25.9504         40              
+100000         12.45           16              54.5215         30                      
+150000          28.67          17              156.63          33                      
+200000         40              23              330.456         43                      
+250000         93.76           20              #518.342        47                      
+300000         138.94          21              #313.697        21                      
+350000         159.65          18              #               28                      
+400000         258.91          22              580.649         20                      
+450000         339.47          23              #
+500000         419.78          23              739.882         28
+550000         415.94          19              #
+600000         549.70          21              1419.76         27
+650000         612.12          20              #
+700000         864.21          24              2149.02         48
+750000         940.87          23              #
+800000         1247.16         26              2459.5          26
+850000         1702.12         32              #
+900000         1803.17         30              3001.47         28
+950000         2280.07         34              #
+1000000                2400.51         30              3321.03         27

 
 # Second data block (index 1)
 
 #DK            sparse                          full                                    
                times           nb iter         times       nb iter             
 
 # Second data block (index 1)
 
 #DK            sparse                          full                                    
                times           nb iter         times       nb iter             

-5000           3.42            138             12.2491     186
+5000           3.42            138             622.617     9483

 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