ex1: Network reliability estimation

There are conducted 500 experiments to analyze the performances of 2 Chang's procedures and the presented algorithm. In each experiment, 2000 random capacity vectors (system state) are generated to obtain an estimated value for the system reliability. In the first two datasets 'ex1.csv' and 'ex1_r2.csv' network reliability estimation is based on d-MPs, in the third dataset 'ex1b.csv' network reliability estimation is based on d-MCs. In the first and third datasets component reliabilities are as follows r1=[0.922,0.915,0.897,0.885,0.918,0.864,0.920,0.912], in the second r2=[0.7,0.81,0.67,0.68,0.75,0.74,0.69,0.72]. In each of these 3 datasets, the meaning of columns is as follows: d - demand level, Iteration - iteration number, Chang1_r/Chang1_t - reliability estimation/ running time for Chang's procedure using his first procedure generating random vectors, Chang2_r/Chang2_t - reliability estimation/running time for Chang's procedure using his second procedure generating random vectors, Kozyra_r/Kozyra_t - reliability estimation/running time for Kozyra's algorithm