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a big-Oh characterization, in terms of n

a big-Oh characterization, in terms of n

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Give a big-Oh characterization, in terms of n, of the running time of the following
method

36 /** Returns the number of times second array stores sum of prefix sums from first. */ 37 public static int example5(int[] first, int[] second) { // assume equal-length arrays 38 39 // loop from 0 to n-1 40 41 // loop from 0 to n-1 42 // loop from 0 to j 43 44 45 46 47 } int n = first.length, count = 0; for (int i=0; i<n; i++) { int total = 0; for (int j=0; j<n; j++) for (int k=0; k<=j; k++) total += first[k]: if (second[i] == total) count++; } return count;
Transcribed Image Text:36 /** Returns the number of times second array stores sum of prefix sums from first. */ 37 public static int example5(int[] first, int[] second) { // assume equal-length arrays 38 39 // loop from 0 to n-1 40 41 // loop from 0 to n-1 42 // loop from 0 to j 43 44 45 46 47 } int n = first.length, count = 0; for (int i=0; i<n; i++) { int total = 0; for (int j=0; j<n; j++) for (int k=0; k<=j; k++) total += first[k]: if (second[i] == total) count++; } return count;
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