Which big-O expression best characterizes the worst case time complexity of the following code? public static...
Show your work Count the number of operations and the big-O time complexity in the worst-case and best-case for the following code int small for ( i n t i = 0 ; i < n ; i ++) { i f ( a [ i ] < a [ 0 ] ) { small = a [ i ] ; } } Show Work Calculate the Big-O time complexity for the following code and explain your answer by showing...
(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...
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...
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....
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....
4. Big-Oh and Rune time Analysis: describe the worst case running time of the following pseudocode functions in Big-Oh notation in terms of the variable n. howing your work is not required (although showing work may allow some partial t in the case your answer is wrong-don't spend a lot of time showing your work.). You MUST choose your answer from the following (not given in any particular order), each of which could be re-used (could be the answer for...
Find the best case, worst case and average case complexity for numbers of comparison and assignment operations for the following code. Indicate when there is no best or worst case. Comparisons Assignments Given 2-D array of integer map[n][n]: Best: Best: worst: worst: for (i0; 1 <n; i++) for(j = 0j <n; j++) If (map 10] < 0) map[001-mapli01: average: average: For ease of analysis, assume half of the elements in map are negative.
Show the analytical time complexity. Show all work. public static void foo(int n, char A, char B, char C) { if (n<=0) return; // primitive operation foo(n-2, A, C, B); for (int i=0; i<n; i++) System.out.println(“n=” + n); // primitive operation foo(n-2, B, A, C); }
For each code write the time complexity. For each of the following pieces of code, write down the time complexity that the code will run in, choosing from O(1), O(log n), O(n), O(n log n), O(n^2): def something (n) for i in range (n) return n Big-O:_____ for i in range (n) for j in range (5) print (i*j) Big-O:______ for i in range (n) for j in range (n n/3, 9): print (i*j) Big-O:_____ for i in range (521313*2213*11);...
The time-complexity of searching an AVL tree is in the worst case and in the average case. On), On) O(logot). O(log O ON), C(n) 0(), O(log) Question 16 2 pts The time-complexity of searching a binary search tree is in the worst case and in the average case (1), O(log) O(logn), O(log,n) On), On) 001), 001)