Please check my answers for time complexity
Please check my answers for time complexity function CalculateAverageFromTable (values, total_rows, total_columns): sum0 n=0 for y...
#9 What is time complexity of fun()? int fun(int n) { int count = 0; for (int i = n; i > 0; i /= 2) for (int j = 0; j < i; j++) count += 1; return count; } Group of answer choices O(n^2) O(nLogn) O(n) O(nLognLogn)
What is the time complexity of the following code segment? for (int i = 0; i<n; i--) if (a[i] != 0) sum = a[i]; What is the time complexity of the following code segment? for (int i = 0; i<10; i++) if (a[i] != 0) sum += a[i]; What is the time complexity of the following code segment? for (int i = 0; i<n/2; i++) if (a[i] != 0) sum += a[i]; What is the time complexity of the following...
The task was to find the recurrence relation for this function and then find the complexity class for it as well. Provided is my work and the function. My question is, I feel like I'm missing some step in the recurrence relation and complexity class. Is this correct? The following code is in JavaScript. function divideAndConquerSum(x){ if(x.length<1){ return 0; } if(x.length == 1){ return x[0]; } var third = Math.floor((x.length-1)/3); var next = (third *2)+1; var y = x.slice(0, third+1);...
Please answer the following questions. Thank you, will rate! Q03. The order of time complexity of enqueue-ing an element into a priority queue (with n elements): a. is independent of the particular implementation b. is O(1) for any implementation using ordered arrays c. is always O(nlogn) d. is always the same as the order of complexity of the dequeue operation e. none of the above Q04. Suppose x is a linked-list node and not the last node on the list....
What is the time-complexity of the algorithm abc? Procedure abc(n: integer) s := 0 i :=1 while i ≤ n s := s+1 i := 2*i return s consider the following algorithm: Procedure foo(n: integer) m := 1 for i := 1 to n for j :=1 to i2m:=m*1 return m c.) Find a formula that describes the number of operations the algorithm foo takes for every input n? d.)Express the running time complexity of foo using big-O/big-
What is the worst case running time of the following pseudo-code. void doSomething(int n, int m) { if(m> n) return; System.out.println("m=" + m); doSomething(n, m+2); } A o(n) B O(nlogn) C O(n2) D O(n+m) E None of the above
Which big-O expression best characterizes the worst case time complexity of the following code? public static int foo(int N) ( int count = 0; int i1; while (i <N) C for (int j = 1; j < N; j=j+2) { count++ i=i+2; return count; A. O(log log N) B. O(log N2) C. O(N log N) D. O(N2)
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...
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);...
Please code this in Java, thank you! (a) Implement a sublinear running time complexity recursive function in Java public static long long x, int n) to calculate X Note: In your function you can use only the basic arithmetic operators (+, -,, %, and /) (b) What is the running time complexity of your function? Justify (c) Give a number of multiplications used by your function to calculate x63.