Analyze the following codes for Time and space complexity. Determine Big O for the following code fragments in the average case. Assume that all variables are of type int. (e) sum = 0; for (i=1; i<=n; i++) for (j=1; j<=n; j*=2) sum++;
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Please solve it on urgent basis:
Analyze the following codes for Time and space complexity. Determine Big O for the following code fragments in the average case. Assume that all variables are of type int.
(e) sum = 0;
for (i=1; i<=n; i++)
for (j=1; j<=n; j*=2)
sum++;
Step by step
Solved in 3 steps
- 19 The complexity of the following code is int i, j,k = 0; (i = n/ 2; i <= n; i++) { for (j k = k + n / 2; %3D for at of = 2; j <= n; j = j * 2) { uestion Select one: a. O(nlgn) b. O(n) O c. (n'ign) d. O(n)Please answer completely will give rating surely Both questions answers neededConsider the following code segment: for(int i = 0; i < 20; i++) Z [i] = i % 2; How many values of Z are 1?
- If f(n) is the number of times that y=y+A[i]; is executed in the code segment below, which of the following is the correct big-Oh notation for f? y=0;for(j=0;j<n;j++) { for (i=0;i<n;i++) { y=y+A[i]; }} Group of answer choices O(1) O(n2) O(nlog2n) O(n)Calculate the time complexity and represent by using asymptotic notation for the following code: int p=3, r=2; int f=1; for(int i=0; iFind the space complexity of the following code fib(int n) { if (n <= 1) return n; return fib(n-1) + fib(n-2); }Discrete mathFind the time complexity of the following code, for (i=1: iCorrect and detailed answer Can someone explain what the j, n=0, len(t) is doing? I have never seen this kind of variable assignment. Can you provide reading material for me to understand? I havent been able to find any online. The code works fine. I just dont understand the top part.please include full solutions and provide explanation. will give thumbs up for complete answerq11) Find the time complexity for the program code and represent it in Big O notation. int p=3, q=5, r; for(int i=0;i<n;i++) { r= p * q * i; q++; } cout<<r; a. 1 b. O(log n) c. O( n ) d. O(n2)The time complexity of the following code is O(n^2). In C++, write a code to confirm the time complexity of the following pseudocode: int j = 2 while (j<n) { int k = j while (k<n) { sum += a[k]=b[k] k += n^1/3 log n } j = j*sqrt(5) }SEE MORE QUESTIONSRecommended textbooks for youDatabase System ConceptsComputer ScienceISBN:9780078022159Author:Abraham Silberschatz Professor, Henry F. Korth, S. SudarshanPublisher:McGraw-Hill Education
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