diff --git a/gnuplot/result/my-bp3-feedback5-cycle0-10000-schedule.gnudat b/gnuplot/result/my-bp3-feedback5-cycle0-10000-schedule.gnudat
index 60cd104..43a7c67 100644
--- a/gnuplot/result/my-bp3-feedback5-cycle0-10000-schedule.gnudat
+++ b/gnuplot/result/my-bp3-feedback5-cycle0-10000-schedule.gnudat
@@ -1,19 +1,19 @@
 #header
 sizes: 13, 11, 9, 7, 5, 
  p, P_c converge rate, zero error vectors, weight one error, weight 2 error
-0.019953	0.995709	0.000000	0.000000	0.000000	0.019953	0.996677	0.000000	0.000000	0.000000	0.019953	0.997224	0.000000	0.000000	0.000000	0.019953	0.997392	0.000000	0.000000	0.000000	0.019953	0.998486	0.000000	0.000000	0.000000	
-0.015849	0.998337	0.000000	0.000000	0.000000	0.015849	0.998320	0.000000	0.000000	0.000000	0.015849	0.998695	0.000000	0.000000	0.000000	0.015849	0.998695	0.000000	0.000000	0.000000	0.015849	0.999160	0.000000	0.000000	0.000000	
-0.012589	0.999453	0.000000	0.000000	0.000000	0.012589	0.999271	0.000000	0.000000	0.000000	0.012589	0.999468	0.000000	0.000000	0.000000	0.012589	0.999438	0.000000	0.000000	0.000000	0.012589	0.999544	0.000000	0.000000	0.000000	
-0.010000	0.999819	0.000000	0.000000	0.000000	0.010000	0.999703	0.000000	0.000000	0.000000	0.010000	0.999690	0.000000	0.000000	0.000000	0.010000	0.999806	0.000000	0.000000	0.000000	0.010000	0.999819	0.000000	0.000000	0.000000	
-0.007943	0.999901	0.000000	0.000000	0.000000	0.007943	0.999890	0.000000	0.000000	0.000000	0.007943	0.999868	0.000000	0.000000	0.000000	0.007943	0.999912	0.000000	0.000000	0.000000	0.007943	0.999868	0.000000	0.000000	0.000000	
-0.006310	0.999925	0.000000	0.000000	0.000000	0.006310	0.999972	0.000000	0.000000	0.000000	0.006310	0.999991	0.000000	0.000000	0.000000	0.006310	0.999907	0.000000	0.000000	0.000000	0.006310	0.999963	0.000000	0.000000	0.000000	
-0.005012	0.999937	0.000000	0.000000	0.000000	0.005012	1.000000	0.000000	0.000000	0.000000	0.005012	0.999968	0.000000	0.000000	0.000000	0.005012	0.999976	0.000000	0.000000	0.000000	0.005012	0.999992	0.000000	0.000000	0.000000	
-0.003981	0.999993	0.000000	0.000000	0.000000	0.003981	0.999987	0.000000	0.000000	0.000000	0.003981	0.999987	0.000000	0.000000	0.000000	0.003981	0.999980	0.000000	0.000000	0.000000	0.003981	0.999980	0.000000	0.000000	0.000000	
-0.003162	1.000000	0.000000	0.000000	0.000000	0.003162	0.999989	0.000000	0.000000	0.000000	0.003162	1.000000	0.000000	0.000000	0.000000	0.003162	0.999989	0.000000	0.000000	0.000000	0.003162	1.000000	0.000000	0.000000	0.000000	
-0.002512	0.999995	0.000000	0.000000	0.000000	0.002512	0.999985	0.000000	0.000000	0.000000	0.002512	1.000000	0.000000	0.000000	0.000000	0.002512	1.000000	0.000000	0.000000	0.000000	0.002512	0.999995	0.000000	0.000000	0.000000	
-0.001995	1.000000	0.000000	0.000000	0.000000	0.001995	0.999996	0.000000	0.000000	0.000000	0.001995	1.000000	0.000000	0.000000	0.000000	0.001995	1.000000	0.000000	0.000000	0.000000	0.001995	1.000000	0.000000	0.000000	0.000000	
-0.001585	1.000000	0.000000	0.000000	0.000000	0.001585	1.000000	0.000000	0.000000	0.000000	0.001585	1.000000	0.000000	0.000000	0.000000	0.001585	1.000000	0.000000	0.000000	0.000000	0.001585	0.999996	0.000000	0.000000	0.000000	
-0.001259	1.000000	0.000000	0.000000	0.000000	0.001259	1.000000	0.000000	0.000000	0.000000	0.001259	0.999997	0.000000	0.000000	0.000000	0.001259	1.000000	0.000000	0.000000	0.000000	0.001259	1.000000	0.000000	0.000000	0.000000	
+0.019953	0.995767	0.000000	0.000000	0.000000	0.019953	0.996800	0.000000	0.000000	0.000000	0.019953	0.997033	0.000000	0.000000	0.000000	0.019953	0.998000	0.000000	0.000000	0.000000	0.019953	0.998267	0.000000	0.000000	0.000000	
+0.015849	0.998393	0.000000	0.000000	0.000000	0.015849	0.998393	0.000000	0.000000	0.000000	0.015849	0.998922	0.000000	0.000000	0.000000	0.015849	0.998785	0.000000	0.000000	0.000000	0.015849	0.999118	0.000000	0.000000	0.000000	
+0.012589	0.999459	0.000000	0.000000	0.000000	0.012589	0.999459	0.000000	0.000000	0.000000	0.012589	0.999551	0.000000	0.000000	0.000000	0.012589	0.999470	0.000000	0.000000	0.000000	0.012589	0.999574	0.000000	0.000000	0.000000	
+0.010000	0.999729	0.000000	0.000000	0.000000	0.010000	0.999722	0.000000	0.000000	0.000000	0.010000	0.999716	0.000000	0.000000	0.000000	0.010000	0.999831	0.000000	0.000000	0.000000	0.010000	0.999770	0.000000	0.000000	0.000000	
+0.007943	0.999908	0.000000	0.000000	0.000000	0.007943	0.999897	0.000000	0.000000	0.000000	0.007943	0.999861	0.000000	0.000000	0.000000	0.007943	0.999897	0.000000	0.000000	0.000000	0.007943	0.999904	0.000000	0.000000	0.000000	
+0.006310	0.999951	0.000000	0.000000	0.000000	0.006310	0.999932	0.000000	0.000000	0.000000	0.006310	0.999951	0.000000	0.000000	0.000000	0.006310	0.999956	0.000000	0.000000	0.000000	0.006310	0.999944	0.000000	0.000000	0.000000	
+0.005012	0.999966	0.000000	0.000000	0.000000	0.005012	0.999979	0.000000	0.000000	0.000000	0.005012	0.999975	0.000000	0.000000	0.000000	0.005012	0.999981	0.000000	0.000000	0.000000	0.005012	0.999982	0.000000	0.000000	0.000000	
+0.003981	0.999985	0.000000	0.000000	0.000000	0.003981	0.999980	0.000000	0.000000	0.000000	0.003981	0.999985	0.000000	0.000000	0.000000	0.003981	0.999989	0.000000	0.000000	0.000000	0.003981	0.999992	0.000000	0.000000	0.000000	
+0.003162	0.999995	0.000000	0.000000	0.000000	0.003162	0.999995	0.000000	0.000000	0.000000	0.003162	0.999991	0.000000	0.000000	0.000000	0.003162	0.999995	0.000000	0.000000	0.000000	0.003162	0.999991	0.000000	0.000000	0.000000	
+0.002512	0.999997	0.000000	0.000000	0.000000	0.002512	0.999996	0.000000	0.000000	0.000000	0.002512	0.999997	0.000000	0.000000	0.000000	0.002512	0.999996	0.000000	0.000000	0.000000	0.002512	0.999997	0.000000	0.000000	0.000000	
+0.001995	0.999998	0.000000	0.000000	0.000000	0.001995	0.999998	0.000000	0.000000	0.000000	0.001995	0.999998	0.000000	0.000000	0.000000	0.001995	0.999997	0.000000	0.000000	0.000000	0.001995	0.999999	0.000000	0.000000	0.000000	
+0.001585	1.000000	0.000000	0.000000	0.000000	0.001585	0.999999	0.000000	0.000000	0.000000	0.001585	0.999999	0.000000	0.000000	0.000000	0.001585	1.000000	0.000000	0.000000	0.000000	0.001585	0.999999	0.000000	0.000000	0.000000	
+0.001259	1.000000	0.000000	0.000000	0.000000	0.001259	0.999999	0.000000	0.000000	0.000000	0.001259	0.999999	0.000000	0.000000	0.000000	0.001259	1.000000	0.000000	0.000000	0.000000	0.001259	1.000000	0.000000	0.000000	0.000000	
 0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	
 0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	
 0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	
diff --git a/gnuplot/result/my-bp3-feedback5-num-data-1000-flexible.gnudat b/gnuplot/result/my-bp3-feedback5-num-data-1000-flexible.gnudat
new file mode 100644
index 0000000..7dabd10
--- /dev/null
+++ b/gnuplot/result/my-bp3-feedback5-num-data-1000-flexible.gnudat
@@ -0,0 +1,16 @@
+#header
+sizes: 13, 11, 9, 7, 5, 
+ p, P_c converge rate, zero error vectors, weight one error, weight 2 error
+0.251189	0.012589	0.999177	61978.000000	0.000000	0.251189	0.012589	0.999515	105123.000000	0.000000	0.251189	0.012589	0.999411	86568.000000	0.000000	0.251189	0.012589	0.999633	138944.000000	0.000000	0.251189	0.012589	0.999592	125061.000000	0.000000	
+0.199526	0.019231	52.000000	0.000000	0.000000	0.199526	0.072727	55.000000	0.000000	0.000000	0.199526	0.354430	79.000000	0.000000	0.000000	0.199526	0.474227	97.000000	0.000000	0.000000	0.199526	0.690909	165.000000	0.000000	0.000000	
+0.158489	0.055556	54.000000	0.000000	0.000000	0.158489	0.105263	57.000000	0.000000	0.000000	0.158489	0.271429	70.000000	0.000000	0.000000	0.158489	0.514286	105.000000	0.000000	0.000000	0.158489	0.732984	191.000000	0.000000	0.000000	
+0.125893	0.105263	57.000000	0.000000	0.000000	0.125893	0.190476	63.000000	0.000000	0.000000	0.125893	0.227273	66.000000	0.000000	0.000000	0.125893	0.556522	115.000000	0.000000	0.000000	0.125893	0.808271	266.000000	0.000000	0.000000	
+0.100000	0.215385	65.000000	0.000000	0.000000	0.100000	0.370370	81.000000	0.000000	0.000000	0.100000	0.532110	109.000000	0.000000	0.000000	0.100000	0.737113	194.000000	0.000000	0.000000	0.100000	0.860274	365.000000	0.000000	0.000000	
+0.079433	0.523364	107.000000	0.000000	0.000000	0.079433	0.509615	104.000000	0.000000	0.000000	0.079433	0.701754	171.000000	0.000000	0.000000	0.079433	0.782051	234.000000	0.000000	0.000000	0.079433	0.913851	592.000000	0.000000	0.000000	
+0.063096	0.679245	159.000000	0.000000	0.000000	0.063096	0.790984	244.000000	0.000000	0.000000	0.063096	0.815884	277.000000	0.000000	0.000000	0.063096	0.908438	557.000000	0.000000	0.000000	0.063096	0.937576	817.000000	0.000000	0.000000	
+0.050119	0.902857	525.000000	0.000000	0.000000	0.050119	0.924220	673.000000	0.000000	0.000000	0.050119	0.928671	715.000000	0.000000	0.000000	0.050119	0.954137	1112.000000	0.000000	0.000000	0.050119	0.970857	1750.000000	0.000000	0.000000	
+0.039811	0.944444	918.000000	0.000000	0.000000	0.039811	0.962583	1363.000000	0.000000	0.000000	0.039811	0.966775	1535.000000	0.000000	0.000000	0.039811	0.980497	2615.000000	0.000000	0.000000	0.039811	0.983810	3150.000000	0.000000	0.000000	
+0.031623	0.977816	2299.000000	0.000000	0.000000	0.031623	0.978252	2345.000000	0.000000	0.000000	0.031623	0.986171	3688.000000	0.000000	0.000000	0.031623	0.991071	5712.000000	0.000000	0.000000	0.031623	0.990552	5398.000000	0.000000	0.000000	
+0.025119	0.991891	6289.000000	0.000000	0.000000	0.025119	0.991865	6269.000000	0.000000	0.000000	0.025119	0.994817	9840.000000	0.000000	0.000000	0.025119	0.993664	8049.000000	0.000000	0.000000	0.025119	0.995723	11923.000000	0.000000	0.000000	
+0.019953	0.995950	12594.000000	0.000000	0.000000	0.019953	0.997005	17028.000000	0.000000	0.000000	0.019953	0.997041	17233.000000	0.000000	0.000000	0.019953	0.998004	25553.000000	0.000000	0.000000	0.019953	0.998110	26987.000000	0.000000	0.000000	
+0.015849	0.998583	35986.000000	0.000000	0.000000	0.015849	0.998575	35788.000000	0.000000	0.000000	0.015849	0.998350	30903.000000	0.000000	0.000000	0.015849	0.999115	57612.000000	0.000000	0.000000	0.015849	0.998992	50580.000000	0.000000	0.000000	
diff --git a/gnuplot/result/my-bp3-feedback5-num-data-1000-schedule-p.gnudat b/gnuplot/result/my-bp3-feedback5-num-data-1000-schedule-p.gnudat
new file mode 100644
index 0000000..c0d1b4a
--- /dev/null
+++ b/gnuplot/result/my-bp3-feedback5-num-data-1000-schedule-p.gnudat
@@ -0,0 +1,16 @@
+#header
+sizes: 13, 11, 9, 7, 5, 
+ p, P_c converge rate, zero error vectors, weight one error, weight 2 error
+0.251189	0.012589	0.999431	75507.000000	0.000000	0.251189	0.012589	0.999393	148259.000000	0.000000	0.251189	0.012589	0.999456	351317.000000	0.000000	0.251189	0.012589	0.999513	1000000.000000	0.000000	0.251189	0.012589	0.999559	1000000.000000	0.000000	
+0.199526	0.037500	1040.000000	0.000000	0.000000	0.199526	0.098198	1110.000000	0.000000	0.000000	0.199526	0.244528	1325.000000	0.000000	0.000000	0.199526	0.476738	1913.000000	0.000000	0.000000	0.199526	0.735395	3783.000000	0.000000	0.000000	
+0.158489	0.051185	1055.000000	0.000000	0.000000	0.158489	0.124234	1143.000000	0.000000	0.000000	0.158489	0.285510	1401.000000	0.000000	0.000000	0.158489	0.521282	2091.000000	0.000000	0.000000	0.158489	0.766067	4279.000000	0.000000	0.000000	
+0.125893	0.102242	1115.000000	0.000000	0.000000	0.125893	0.222826	1288.000000	0.000000	0.000000	0.125893	0.392228	1647.000000	0.000000	0.000000	0.125893	0.605595	2538.000000	0.000000	0.000000	0.125893	0.813837	5377.000000	0.000000	0.000000	
+0.100000	0.263429	1359.000000	0.000000	0.000000	0.100000	0.381335	1618.000000	0.000000	0.000000	0.100000	0.523787	2102.000000	0.000000	0.000000	0.100000	0.721248	3591.000000	0.000000	0.000000	0.100000	0.874309	7964.000000	0.000000	0.000000	
+0.079433	0.498497	1996.000000	0.000000	0.000000	0.079433	0.605595	2538.000000	0.000000	0.000000	0.079433	0.716591	3532.000000	0.000000	0.000000	0.079433	0.823051	5657.000000	0.000000	0.000000	0.079433	0.916465	11983.000000	0.000000	0.000000	
+0.063096	0.737565	3639.000000	0.000000	0.000000	0.063096	0.798470	4967.000000	0.000000	0.000000	0.063096	0.845453	6477.000000	0.000000	0.000000	0.063096	0.897972	9811.000000	0.000000	0.000000	0.063096	0.953809	21671.000000	0.000000	0.000000	
+0.050119	0.884436	5789.000000	0.000000	0.000000	0.050119	0.904676	10501.000000	0.000000	0.000000	0.050119	0.928678	14035.000000	0.000000	0.000000	0.050119	0.950917	20394.000000	0.000000	0.000000	0.050119	0.971269	34841.000000	0.000000	0.000000	
+0.039811	0.945981	10052.000000	0.000000	0.000000	0.039811	0.960652	21602.000000	0.000000	0.000000	0.039811	0.968371	31648.000000	0.000000	0.000000	0.039811	0.974096	38643.000000	0.000000	0.000000	0.039811	0.985193	67602.000000	0.000000	0.000000	
+0.031623	0.979309	16384.000000	0.000000	0.000000	0.031623	0.982636	34382.000000	0.000000	0.000000	0.031623	0.985674	69873.000000	0.000000	0.000000	0.031623	0.989148	92242.000000	0.000000	0.000000	0.031623	0.992717	137452.000000	0.000000	0.000000	
+0.025119	0.991364	26401.000000	0.000000	0.000000	0.025119	0.992197	57027.000000	0.000000	0.000000	0.025119	0.993685	131114.000000	0.000000	0.000000	0.025119	0.994780	191757.000000	0.000000	0.000000	0.025119	0.996205	263740.000000	0.000000	0.000000	
+0.019953	0.996149	38948.000000	0.000000	0.000000	0.019953	0.996888	80665.000000	0.000000	0.000000	0.019953	0.997263	196210.000000	0.000000	0.000000	0.019953	0.997594	416056.000000	0.000000	0.000000	0.019953	0.998162	544613.000000	0.000000	0.000000	
+0.015849	0.998499	65978.000000	0.000000	0.000000	0.015849	0.998477	114246.000000	0.000000	0.000000	0.015849	0.998739	259365.000000	0.000000	0.000000	0.015849	0.998894	905018.000000	0.000000	0.000000	0.015849	0.999061	1000000.000000	0.000000	0.000000	
diff --git a/gnuplot/result/my-bp3-feedback5-num-data-1000-schedule.gnudat b/gnuplot/result/my-bp3-feedback5-num-data-1000-schedule.gnudat
new file mode 100644
index 0000000..91d4d96
--- /dev/null
+++ b/gnuplot/result/my-bp3-feedback5-num-data-1000-schedule.gnudat
@@ -0,0 +1,13 @@
+#header
+sizes: 13, 11, 9, 7, 5, 
+ p, P_c converge rate, zero error vectors, weight one error, weight 2 error
+0.019953	0.996267	155366.000000	0.000000	0.000000	0.019953	0.996713	304520.000000	0.000000	0.000000	0.019953	0.997176	354431.000000	0.000000	0.000000	0.019953	0.997611	419053.000000	0.000000	0.000000	0.019953	0.998158	543505.000000	0.000000	0.000000	
+0.015849	0.998484	222940.000000	0.000000	0.000000	0.015849	0.998713	495776.000000	0.000000	0.000000	0.015849	0.998727	786620.000000	0.000000	0.000000	0.015849	0.998930	935826.000000	0.000000	0.000000	0.015849	0.999069	1075099.000000	0.000000	0.000000	
+0.012589	0.999317	279562.000000	0.000000	0.000000	0.012589	0.999390	636327.000000	0.000000	0.000000	0.012589	0.999429	1388069.000000	0.000000	0.000000	0.012589	0.999535	2152425.000000	0.000000	0.000000	0.012589	0.999567	2310564.000000	0.000000	0.000000	
+0.010000	0.999744	371473.000000	0.000000	0.000000	0.010000	0.999718	807270.000000	0.000000	0.000000	0.010000	0.999749	1894971.000000	0.000000	0.000000	0.010000	0.999775	4452860.000000	0.000000	0.000000	0.010000	0.999794	4861804.000000	0.000000	0.000000	
+0.007943	0.999890	428623.000000	0.000000	0.000000	0.007943	0.999875	957237.000000	0.000000	0.000000	0.007943	0.999873	2249543.000000	0.000000	0.000000	0.007943	0.999896	9535977.000000	0.000000	0.000000	0.007943	0.999898	9850873.000000	0.000000	0.000000	
+0.006310	0.999925	535675.000000	0.000000	0.000000	0.006310	0.999945	1468876.000000	0.000000	0.000000	0.006310	0.999949	2743353.000000	0.000000	0.000000	0.006310	0.999947	10000000.000000	0.000000	0.000000	0.006310	0.999948	10000000.000000	0.000000	0.000000	
+0.005012	0.999960	628814.000000	0.000000	0.000000	0.005012	0.999975	1411546.000000	0.000000	0.000000	0.005012	0.999977	3335611.000000	0.000000	0.000000	0.005012	0.999976	10000000.000000	0.000000	0.000000	0.005012	0.999978	10000000.000000	0.000000	0.000000	
+0.003981	0.999986	730542.000000	0.000000	0.000000	0.003981	0.999991	1706501.000000	0.000000	0.000000	0.003981	0.999988	5343610.000000	0.000000	0.000000	0.003981	0.999986	10000000.000000	0.000000	0.000000	0.003981	0.999988	10000000.000000	0.000000	0.000000	
+0.003162	0.999992	1164930.000000	0.000000	0.000000	0.003162	0.999996	2052958.000000	0.000000	0.000000	0.003162	0.999993	5000142.000000	0.000000	0.000000	0.003162	0.999993	10000000.000000	0.000000	0.000000	0.003162	0.999995	10000000.000000	0.000000	0.000000	
+0.002512	0.999996	1501968.000000	0.000000	0.000000	0.002512	0.999997	2683057.000000	0.000000	0.000000	0.002512	0.999996	5897755.000000	0.000000	0.000000	0.002512	0.999998	10000000.000000	0.000000	0.000000	0.002512	0.999998	10000000.000000	0.000000	0.000000	
diff --git a/gnuplot/result/my-bp3-feedback5-num-data-200-schedule.gnudat b/gnuplot/result/my-bp3-feedback5-num-data-200-schedule.gnudat
new file mode 100644
index 0000000..efc9c29
--- /dev/null
+++ b/gnuplot/result/my-bp3-feedback5-num-data-200-schedule.gnudat
@@ -0,0 +1,13 @@
+#header
+sizes: 13, 11, 9, 7, 5, 
+ p, P_c converge rate, zero error vectors, weight one error, weight 2 error
+0.019953	0.996276	53980.000000	0.000000	0.000000	0.019953	0.997211	72061.000000	0.000000	0.000000	0.019953	0.997052	68189.000000	0.000000	0.000000	0.019953	0.997903	95864.000000	0.000000	0.000000	0.019953	0.998037	102370.000000	0.000000	0.000000	
+0.015849	0.998422	127346.000000	0.000000	0.000000	0.015849	0.998610	144652.000000	0.000000	0.000000	0.015849	0.998728	157984.000000	0.000000	0.000000	0.015849	0.998996	200236.000000	0.000000	0.000000	0.015849	0.999007	202328.000000	0.000000	0.000000	
+0.012589	0.999379	261056.000000	0.000000	0.000000	0.012589	0.999470	379271.000000	0.000000	0.000000	0.012589	0.999395	332183.000000	0.000000	0.000000	0.012589	0.999520	418436.000000	0.000000	0.000000	0.012589	0.999571	468690.000000	0.000000	0.000000	
+0.010000	0.999707	293838.000000	0.000000	0.000000	0.010000	0.999746	712208.000000	0.000000	0.000000	0.010000	0.999758	831736.000000	0.000000	0.000000	0.010000	0.999770	874728.000000	0.000000	0.000000	0.010000	0.999779	911212.000000	0.000000	0.000000	
+0.007943	0.999863	357256.000000	0.000000	0.000000	0.007943	0.999871	804203.000000	0.000000	0.000000	0.007943	0.999884	1737895.000000	0.000000	0.000000	0.007943	0.999897	1959189.000000	0.000000	0.000000	0.007943	0.999897	1944568.000000	0.000000	0.000000	
+0.006310	0.999940	465965.000000	0.000000	0.000000	0.006310	0.999950	1028936.000000	0.000000	0.000000	0.006310	0.999945	2000000.000000	0.000000	0.000000	0.006310	0.999947	2000000.000000	0.000000	0.000000	0.006310	0.999942	2000000.000000	0.000000	0.000000	
+0.005012	0.999968	562299.000000	0.000000	0.000000	0.005012	0.999967	1269060.000000	0.000000	0.000000	0.005012	0.999974	2000000.000000	0.000000	0.000000	0.005012	0.999977	2000000.000000	0.000000	0.000000	0.005012	0.999971	2000000.000000	0.000000	0.000000	
+0.003981	0.999986	625880.000000	0.000000	0.000000	0.003981	0.999987	1495550.000000	0.000000	0.000000	0.003981	0.999988	2000000.000000	0.000000	0.000000	0.003981	0.999990	2000000.000000	0.000000	0.000000	0.003981	0.999989	2000000.000000	0.000000	0.000000	
+0.003162	0.999998	1042658.000000	0.000000	0.000000	0.003162	0.999993	1976599.000000	0.000000	0.000000	0.003162	0.999993	2000000.000000	0.000000	0.000000	0.003162	0.999996	2000000.000000	0.000000	0.000000	0.003162	0.999995	2000000.000000	0.000000	0.000000	
+0.002512	0.999997	1290345.000000	0.000000	0.000000	0.002512	0.999996	2000000.000000	0.000000	0.000000	0.002512	0.999998	2000000.000000	0.000000	0.000000	0.002512	0.999998	2000000.000000	0.000000	0.000000	0.002512	1.000000	2000000.000000	0.000000	0.000000	
diff --git a/gnuplot/toric_rate.gnu b/gnuplot/toric_rate.gnu
index 72f8d48..564e431 100755
--- a/gnuplot/toric_rate.gnu
+++ b/gnuplot/toric_rate.gnu
@@ -9,13 +9,20 @@ data_title='iteration0-cycle1000-Dint2-300'
 data_title='iteration0-cycle1000-Dint2-50'
 
 #data_title='my-bp2-iteration0-cycle200'
-data_title='my-bp2-iteration0-cycle1000-prod-check'
-data_title='my-bp2-iteration10-cycle1000-min-sum'
-data_title='my-bp3-iteration0-cycle1000-min-sum'
-data_title='my-bp3-feedback10-cycle5000-schedule'
-data_title='my-bp3-feedback5-cycle20000-schedule'
-data_title='my-bp3-feedback5-cycle0-10000-schedule'
-data_title='my-bp3-feedback5-num-data-100-schedule'
+#data_title='my-bp2-iteration0-cycle1000-prod-check'
+#data_title='my-bp2-iteration0-cycle1000'
+#data_title='my-bp2-iteration10-cycle1000-min-sum'
+#data_title='my-bp3-iteration0-cycle1000-min-sum'
+#data_title='my-bp3-feedback10-cycle5000-schedule'
+#data_title='my-bp3-feedback5-cycle20000-schedule'
+
+#data_title='my-bp3-feedback5-cycle0-10000-schedule'
+
+# show threshold around 0.008
+#data_title='my-bp3-feedback5-num-data-1000-schedule'
+data_title='my-bp3-feedback5-num-data-1000-schedule-p'
+
+data_title='my-bp3-feedback5-num-data-1000-flexible'
 
 
 
@@ -35,14 +42,15 @@ print "output: "."bp_plot/".data_title.plot_title.".pdf"
 
 set key left box
 set xlabel "Error probability: p"
-set ylabel "Converge rate: P_c"
+set ylabel "Non Converge rate: P_c"
 set logscale y
 set format y "10^{%L}"
 set logscale x
-#set format x "10^{%L}"
-set xrange [0.001:0.021]
+set format x "10^{%L}"
+#set xrange [0.01:0.021]
+set xrange [0.01:0.41]
 #set yrange [0.01:1]
-set title "converge rate of BP for toric code ".data_title.plot_title
+set title "BP for toric code ".data_title.plot_title
 
 set linetype cycle 5
 
@@ -50,14 +58,14 @@ set linetype cycle 5
 #size_set ="5 7 9 11 13"
 
 #plot rate
-f(x)=x*x*x*100
+#f(x)=x*x*x*100
 
 size_set="13 11 9 7 5"
 color_set="violet blue red yellow black green"
 
 # plot rate
 plot for [i=1:5] data_file using (column((i-1)*5+1)):(1-column((i-1)*5+2)) title 'size '.word(size_set,i) with linespoints ps 0.5 lc i,\
-[0.005:0.03] f(x) title '100x^3' dt '.'
+[0.02:0.09] x*x*x*1000 title 'x^3' dt '.'
 
 
 # plot weight of input error
diff --git a/my_bp3.c b/my_bp3.c
index e21a88a..c58e41d 100644
--- a/my_bp3.c
+++ b/my_bp3.c
@@ -32,14 +32,16 @@ int main(int argc, char **argv){
   vector<future<int>> pool;
   vector<future<int>>::size_type pool_size=15; //max number of threads, 15 with decreasing size for best performace
   std::chrono::milliseconds span (100);
-  std::chrono::milliseconds final_thread_time (10000);//10 secs
+  std::chrono::milliseconds final_thread_time (10000);//10 secs before prelimilary result print
   string filename_data="gnuplot/result/my-bp3-iteration0-cycle100-min-sum.gnudat";
   //  filename_data="gnuplot/result/my-bp3-feedback5-cycle0-10000-schedule.gnudat";
-  filename_data="gnuplot/result/my-bp3-feedback5-num-data-200-schedule.gnudat";
+  filename_data="gnuplot/result/my-bp3-feedback5-num-data-1000-schedule-p.gnudat";
+  filename_data="gnuplot/result/my-bp3-feedback5-num-data-1000-flexible.gnudat";
   int feedback=5;
   //  int cycle0=10000; //number of cycles for the first data points
-  double time_out=2000;//time out in seconds for each data points (p and size)
-  int num_data_points = 200;//data entry for each data points
+  int cycles = 1000000;//70 sec for 2,000,000
+  double time_out=500;//time out in seconds for each data points (p and size)
+  int num_data_points = 50;//data entry for each data points
     
   //change parameter p, code size
   //char * filename_result=argv[3];//prefix for the file
@@ -48,8 +50,8 @@ int main(int argc, char **argv){
   int sizes[]= {13,11,9,7,5};
   string stabilizer_folder="data/toric/stabilizer";
   //string error_folder="data/toric/bp_decoding4";
-  double ip_begin=-1.7;
-  double ip_end=-2.7;    
+  double ip_begin=-0.7;
+  double ip_end=-2.0;    
   int data_rows = (ip_begin-ip_end)/0.1;
   mat data(data_rows,5*5);   //return result in a mat, 5 columns for each size. format defines in header
   data.zeros();
@@ -67,7 +69,6 @@ int main(int argc, char **argv){
       row_index ++;
       //atof(argv[4]);
       p=pow(10,ip);
-      int cycles = 2000000;
       //      int cycles = std::pow(p,-3)/100/2*num_data_points;//around 10 data points for each point
       //      int cycles = cycle0*std::pow(10,3*(ip-ip_begin)/(ip_end-ip_begin));
       //p=ip/100000.0;//previous use 1000 division. Now use 100,000 division cause the thershold for toric codes seems to be around 0.1%.
@@ -150,7 +151,7 @@ int decode( GF2mat G, GF2mat H, double p,  mat * data, int col_index, int row_in
   bp_decoder.set_decode_mode_str("min sum");
   bp_decoder.set_exit_iteration(exit_at_iteration);
   bp_decoder.set_debug_mode(false);
-  bp_decoder.set_schedule_mode(1);
+  bp_decoder.set_schedule_mode(2);
   bp_decoder.print_info();
   
   Real_Timer timer;
diff --git a/my_bp3.out b/my_bp3.out
index f239266..da75297 100755
Binary files a/my_bp3.out and b/my_bp3.out differ
diff --git a/readme.md b/readme.md
index 49ba5be..9db229c 100644
--- a/readme.md
+++ b/readme.md
@@ -24,4 +24,5 @@
   - [x] my min sun is slightly worse than Dint2=0
   - [x] iteration 10 show similar big improvement percentage. Still relatively lower than corresponding itpp
   - [x] write decoder as a class in head file, instead of functions
-  - [x] layered schedule itself show no improvement. But layered scheduling plus enhanced feedback show improvement with a factor greater than 10. Run it overnight to see if there is a threshold
\ No newline at end of file
+  - [x] layered schedule itself show no improvement. But layered scheduling plus enhanced feedback show improvement with a factor greater than 10. Run it overnight to see if there is a threshold. Yehua's paper has threshold around 7%. Hence I am looking for the range around 1%
+  
\ No newline at end of file