import java.util.*;
import java.io.*;

public class Size {


    private static double log2(double x){
	return Math.log(x)/Math.log(2.0);
    }

    private static double binCoeff(int n,int k){
	double x = 1.0;
	for (int r=1;r<=k;r++)
	    x = x*((double)(n-r+1)/(double)r);
	return x;
    }

    private static double psol(int n){
	double p = 1.0;
	for (int i=0;i<n-2;i=i+3) p = p *  binCoeff(n-i,3)/binCoeff(n,3);
	return p;
    }

    public static double kappa(int n,double p){
	int k        = n/3;
	int m        = (int)(((double)(n*(n-1)*(n-2)/6))*p*p*p);
	double p_ind = ((double)((n-3)*(n-4)*(n-5)))/((double)(n*(n-1)*(n-2)));
	int q        = k*(k-1)/2;
	double pSat  = psol(n); //Math.pow(p_ind,(double)q);
	double S     = binCoeff(m,k);
	double Sol   = S*pSat;
        double kappa = 0.0;
	if ((m <= k)) 
	    kappa = Double.MAX_VALUE;
	else
	    kappa = 1.0 - log2(Sol)/log2(S);
	return kappa;
    }

    public static double size(int n, double p){
	return (((double)(n*(n-1)*(n-2)/6))*p*p*p);
    }

    public static void main(String[] args) {
	int n        = Integer.parseInt(args[0]); // vertices in a graph
	double pLo   = Double.parseDouble(args[1]); // starting edge probability (in 0.1 increments)
	double pHi   = Double.parseDouble(args[2]); // ending edge probability
	double pInc  = Double.parseDouble(args[3]); // p increment

	while (pLo <= pHi){
	    System.out.println(pLo +" "+ kappa(n,pLo) +" "+ size(n,pLo));
	    pLo = pLo + pInc;
	}
    }
}