EBK DATA STRUCTURES AND ALGORITHMS IN C
EBK DATA STRUCTURES AND ALGORITHMS IN C
4th Edition
ISBN: 9781285415017
Author: DROZDEK
Publisher: YUZU
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Chapter 2, Problem 10E
Program Plan Intro

Computational complexity:

  • The resource used by an algorithm is known as its complexity.
  • The resources required for solving computational problems or for executing an algorithm.
    • Time complexity denotes the complexity expressed in terms of execution time.
    • Space complexity denotes the complexity expressed in terms of memory needed for computation.
    • Complexity of operations that is mathematical.

Explanation of Solution

(b) The auto increment “cnt2++” is executed exactly “n2” times

  • The external for loop is executing “n” times
  • The internal for loop is executin...

Explanation of Solution

(c) The auto increment “cnt3++” is executed exactly “nlogn” times

  • The external for loop is executing “logn” times
  • The internal for loop is executing “n” times

n*i=1logni=1+2+3+...logn = n

Explanation of Solution

(d) The auto increment “cnt4++” is executed exactly “n” times

  • The external for loop is executing “logn” times
  • The internal for loop is executing “2n” times

i=1logn2i=2+22+23+...2logn =2(2logn

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int functionC (int n) { int i, j, sumC = 0; for (i=n; i > 0; i=i-5) for (j=1; j 0) { if (functionC(n) % 2 == 0) { for (i=m; i > 0; i=i/3) sumE++; } else (10) Asymptotic runtime of functionE { for (i=m; i > 0; i=i-3) sumE--; } n--; } return sumE;
for ( i = 1 ; i < n ; i * 2 ){         for ( j = 0 ; j < min( i , k ) ; j++){             sum++         }     } } what is the time complexity
sum= 0; for (int i = 0; i 1) { sum++; i= 1/2; } = 2*log2 (n) We denote by Ta(n), Tb (n), Te(n) the running time of the three fragments. 1. Give evaluations for Ta(n), Tb (n), Te(n). 2. Is T(n) = O(Ta(n)) ? Answer YES or NO and justify your answer. 3. Is Te(n) = (Ta(n)) ? Answer YES or NO and justify your answer.
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