Find the worst-case runtime f(n) for the following algorithms. Specify the number of operations executed...
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Find the worst-case runtime f(n) for the following algorithms. • Specify the number of operations executed for an input size n, for the worst case run time as a function of n. • Surround the statement(s) with a box and draw a line to the right side specifying the number of operations. • If statement(s) are a part of an iteration of n, specify the total number of iterations as a function of n. 1. Algorithm-01 Find the worst case run time function f(n) of the following algorithm. int sum = 0; for (int i = 1; i <= n; i++) for (int j = 1; j <= n; j++) sum++; for (int i = 1; i < n; i++) for (int j = 1; j <= 10; j++) sum--; 2. Algorithm-02 Find the worst case run time function f(n) of the following algorithm and show that this algorithm has an order of log n. int sum int j = 1; 0; while (j <= n) { sum++; j = j * 2; } Find the worst-case runtime f(n) for the following algorithms. • Specify the number of operations executed for an input size n, for the worst case run time as a function of n. • Surround the statement(s) with a box and draw a line to the right side specifying the number of operations. • If statement(s) are a part of an iteration of n, specify the total number of iterations as a function of n. 1. Algorithm-01 Find the worst case run time function f(n) of the following algorithm. int sum = 0; for (int i = 1; i <= n; i++) for (int j = 1; j <= n; j++) sum++; for (int i = 1; i < n; i++) for (int j = 1; j <= 10; j++) sum--; 2. Algorithm-02 Find the worst case run time function f(n) of the following algorithm and show that this algorithm has an order of log n. int sum int j = 1; 0; while (j <= n) { sum++; j = j * 2; }
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Related Book For
Computer Architecture A Quantitative Approach
ISBN: 978-0123704900
4th edition
Authors: John L. Hennessy, David A. Patterson
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