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Perform an experimental analysis of the two algorithms prefixAverage1 and prefixAverage2 given in file PrefixAverage.java. Visualize their running times as a function of the input

Perform an experimental analysis of the two algorithms prefixAverage1 and prefixAverage2 given in file PrefixAverage.java. Visualize their running times as a function of the input size with a log-log chart. Do the log-log chart using Microsoft excel and submit the screenshot of the graph. You might like to use System classs method nanoTime() instead of the method currentTimeMillis() ).

class PrefixAverage {

/** Returns an array a such that, for all j, a[j] equals the average of x[0], ..., x[j]. */

public static double[] prefixAverage1(double[] x) {

int n = x.length;

double[] a = new double[n]; // filled with zeros by default

for (int j=0; j < n; j++) {

double total = 0; // begin computing x[0] + ... + x[j]

for (int i=0; i <= j; i++)

total += x[i];

a[j] = total / (j+1); // record the average

}

return a;

}

/** Returns an array a such that, for all j, a[j] equals the average of x[0], ..., x[j]. */

public static double[] prefixAverage2(double[] x) {

int n = x.length;

double[] a = new double[n]; // filled with zeros by default

double total = 0; // compute prefix sum as x[0] + x[1] + ...

for (int j=0; j < n; j++) {

total += x[j]; // update prefix sum to include x[j]

a[j] = total / (j+1); // compute average based on current sum

}

return a;

}

}

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