Looking at the following algorithm, please give an analysis of it in terms of time complexity using mathematics and put it in big O notation! Algorithm A: k := 0 For i = 1 to n:       For j = (i + 1) to n:             k = k + j + i Return k

Q3. Compute the complexity (O-big notation) of the following algorithms and explain the result mathematically. a. while (n> 1) { if (ODD(n)) //function ODD(n) of constant complexity that returns true if n is odd, // otherwise returns false i = 3 * n + 1; else for (i=1;i

Using Big O notation, if the complexity of an algorithm is O(n), this is pronounced as “order of n.”  True  False

Give the exact number of additions performed in the following segment of certain algorithm assuming a₁, a2, ..., an are positive real numbers and n = 20. for i=1 to n for j=1 to n Sij = ai + aj + 2;