13) Find the exact complexity, counting each assignment and comparison and also the Big O notation
For (i=0; i<n; i++)
For (j=3; j<n; j++)
a=a+b;
13) Find the exact complexity, counting each assignment and comparison and also the Big O notation...
find complexity Problem 1 Find out the computational complexity (Big-Oh notation) of the code snippet: Code 1: for (int i = n; i > 0; i /= 2) { for (int j = 1; j < n; j *= 2) { for (int k = 0; k < n; k += 2) { // constant number of operations here } } } Code 2: Hint: Lecture Note 5, Page 7-8 void f(int n) { if (n...
Find the best big-O notation to describe the complexity of following algorithms: – A binary search of n elements – A linear search to find the smallest number in a list of n numbers
Find the best big-O notation to describe the complexity of following algorithms: The number of print statements in the following while n>1 { print “hello” n=n/2 }
Please show work and solve in Asymptotic complexity using big O notation. (8 pts) Assume n is a power of 2. Determine the time complexity function of the loop for (i=1; i<=n; i=2* i) for (j=1; j<=i; j++) {
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.
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...
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
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...
Analyze the following programs and show their time complexity functions and big-O notations. for(int i = 1; i <= n; i+=3) { for(int j=1; j <= n; j++) { if (j % 3 == 0) { // 4 assignments } if (2*i + 3 == 5) { // 17 assignments } } }