import simModel.Constants;
import simModel.SMTravel;
import simModel.Seeds;
import outputAnalysis.ConfidenceInterval;
import cern.jet.random.engine.*;
// Main Method: Experiment 1, used to run a single simulation generate
// The results of 20 simulation runs to show CI's similar to Table 5.2
// from the text book
class Experiment2
{
// Create matrix of schedules
// Experimentation constants
public static final int NUMRUNS = 20;
public static final double CONF_LEVEL = 0.9;
public static void main(String[] args)
{
int i;
double startTime=0.0, endTime=720.0;
Seeds[] sds = new Seeds[NUMRUNS];
SMTravel smmodel; // Simulation object
double [] valuesCase1 = new double[NUMRUNS];
double [] valuesCase2 = new double[NUMRUNS];
double [] valuesCase3 = new double[NUMRUNS];
double [] valuesCase4 = new double[NUMRUNS];
double [] valuesCase5 = new double[NUMRUNS];
double [] valuesCase6 = new double[NUMRUNS];
double [] valuesCase7 = new double[NUMRUNS];
double [] valuesCase8 = new double[NUMRUNS];
double [] valuesCase9= new double[NUMRUNS];
double [] valuesCase10 = new double[NUMRUNS];
double [] valuesCase11 = new double[NUMRUNS];
double [] valuesCase12 = new double[NUMRUNS];
// Lets get a set of uncorrelated seeds
RandomSeedGenerator rsg = new RandomSeedGenerator();
for(i=0 ; i