Question 4. Find the time complexity of the following code. 1. for (i = n; i >= 1; i/= 2): { for j = m to i { ans += (i * j) }
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- Data Structures and Algorithms in C/C++ a) Implement the addLargeNumbers function with the following prototype: void addLargeNumbers(const char *pNum1, const char *pNum2); This function should output the result of adding the two numbers passed in as strings. Here is an example call to this function with the expected output: /* Sample call to addLargeNumbers */ addLargeNumbers("592", "3784"); /* Expected output */ 4376 b) Implement a test program that demonstrates adding at least three pairs of large numbers (numbers larger than can be represented by a long). c) (1 point) Make sure your source code is well-commented, consistently formatted, uses no magic numbers/values, follows programming best-practices, and is ANSI-compliant.PLEASE HELP!Consider the following code segment: for(int i = 0; i < 20; i++) Z [i] = i % 2; How many values of Z are 1?
- Please written by computer sourcePart a. Make a diagram of memory for point one when n == 2. int expo(int x, int n) { int r, t; if (n == 0) r = 1; else if (n == 1) r = x; else { t = expo (x, n / 2); r = t * t; if (n % 2 == 1) r *= t: } //-- -point one return r; int main(void) { int i; i = expo(4, 5); return 0; Part b. Using divide-and-conquer recursion to solve a problem similar to Prob- lem 3 is somewaiät tricky but a good test of programming skill. Write a function definition that provides a divide-and-conquer implementation of the following interface: double max_adj_sum(const double *a, int lo, int hi); // REQUIRES: hi - lo >= 2. // PROMISES: Return value is the largest sum that can be made by adding // Elements a[lo] ... a[hi -1] exist. two elements among a[lo] ... a[hi-1] with adjacent inderes. Hint: It makes sense to have two base cases, not just one.plz can you explain this for me thanks
- Question 8 Consider the following code where n and m can be any number of more than 20. Select the correct time complexity. int iter_count = 0; for (int i = 0; i < n; i *= 2) { for (int j = 0; j < m; j++){ iter_count += 1; } for (int i = }) 0; i4. Please explain the spatial and temporal locality in general. Please identify and explain the localities in the following example.- int a[N]; For (i 0; iWhat is the big O notation for the following code? for i in range(3, N*N): a = b + iQ5. Find the time complexity of the following code int b = 0; for (j = 0; jj; i--) { b=b+j+i;For each of the following function, indicate the class (n) the function belongs (use the simplest g (n) possible in your answer. a) (n² + 5)1⁰ c) 5n+3 + 7+1 b) 4nlog2(n+2)² + (n+2)³log2(n/2) d) 2n + 3n+ n²+ 4nFun(n) { if (n ≤ 1){return;} else { Statement; Fun (√) return; } Assume "Statement" takes (1) time, Further assume that ʼn = 2m, then the time complexity of Fun() is:Recommended textbooks for youDatabase System ConceptsComputer ScienceISBN:9780078022159Author:Abraham Silberschatz Professor, Henry F. Korth, S. SudarshanPublisher:McGraw-Hill Education
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