First for loop is running for i values from 0 to n-1 with an increment of 1 Second for loop is running for j values from 0 to i with an increment of 1
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b. what is the order (big -o) of this algorithm? 11. To answer this question, consider...
Compute the Big O notation. Explain how you got the answer. on W NA 1 public String modify (String str) { if (str.length() <= 1) return ""; int half = str.length() / 2; modify(str.substring(half)); 5} 1 2 3 for (int i = 0; i<n; i++) { for (int j 0; j < 5; j++) { for (int k = 0; k<n; k++) { 4 if ((i != j) && (i != k)) { 5 System.out.println(k); 6 } 7 } 8...
Using C++ please explain What is the Big-O time complexity of the following code: for (int i=0; i<N; i+=2) { ... constant time operations... Select one: o a. O(n^2) O b. O(log n) c. O(n) O d. 0(1) What is the Big-O time complexity of the following code: for(int i=1; i<N; i*=2) { ... constant time operations... Select one: O O a. O(n^2) b. 0(1) c. O(n) d. O(log n) O What is the Big-O time complexity of the following...
(10') 6. For each of the following code blocks, write the best (tightest) big-o time complexity i) for (int i = 0; ǐ < n/2; i++) for (int j -0: ni j++) count++ i) for (int í = 0; i < n; i++) for (int ni j0 - for (int k j k ni kt+) count++ İİİ) for (int í ー 0; i < n; i++) for(int j = n; j > 0; j--) for (int k = 0; k...
II. ALGORITHM COMPLEXITY AND ASYMPTOTIC ANALYSIS The below visual representations of iterative looping structures are provided for Question 3 through Question 20. Algorithm 1 Algorithm 2 log.n 256 Algorithm 3 Algorithm 4 n (10) Match one of our algorithms to the below code snippet. for (int i = 0; i <n; i++) { for(int j = 0; j<n; j++) { for (int k = 0; k<n; k++) { nop++; nop++; nop++; } } } for (int i = 0; i...
QUESTION 8 What is the worst-case complexity of line 7 of function bar? A. O(1) B. O(N) C. O(i) D. O(log N) E. O(sqrt N) F. O(A[i]) G. O(N sqrt N) H. O(N log N) I. O(N^2) J. O(i^2) K. None of the above QUESTION 9 What is the worst-case complexity of lines 6-11 of function bar? A. O(1) B. O(N) C. O(i) D. O(log N) E. O(sqrt N) F. O(A[i]) G. O(N sqrt N) H. O(N log N) I....
QUESTION 5 What is the worst-case complexity of line 10 of function bar? A. O(1) B. O(N) C. O(i) D. O(log N) E. O(sqrt N) F. O(A[i]) G. O(N sqrt N) H. O(N log N) I. O(N^2) J. O(i^2) K. None of the above QUESTION 6 What is the worst-case complexity of lines 8-11 of function bar? A. O(1) B. O(N) C. O(i) D. O(log N) E. O(sqrt N) F. O(A[i]) G. O(N sqrt N) H. O(N log N) I....
Prove Big O in terms of nₒ and C? There are 5 examples: class Exercise { public static int example1(int[] arr) { int n = arr.length, total = 0; for (int j=0; j < n; j++) // loop from 0 to n-1 total += arr[j]; return total; } public static int example2(int[] arr) { int n = arr.length, total = 0; for (int j=0; j < n; j += 2) // note the increment of 2 total += arr[j]; return...
1.4.6 Give the order of growth (as a function of n) of the running times of each of the following code fragments: a, int sum=0; for (int k n: k > 0; k /= 2) for (int i 0; ǐ < k; İ++) sum++; b.int sum 0; for (int i = 1; i < n; i *= 2) for (int j = 0; j < i; j++) sum++; int sum = 0; for (int í = 1; i < n;...
Describe the worst case running time of the following pseudocode functions in Big-Oh notation in terms of the variable n. Show your work b) void func(int n) { for (int i = 0; i < n; i = i + 10) { for (int j = 0; j < i; ++i) { System.out.println("i = " + i); System.out.println("j = " + j);
Find Big-O notation for the following algorithm: int function9(int n) { int ij for (i-0; in; i++) for (0; j<n; j++ if (j1) break return j; } int function9(int n) { int ij for (i-0; in; i++) for (0; j