Give a big-O estimate for the number of additions ued in the segment of an algorithm below.
t:=0
for i := 1 to n
for j := 1 to n
t := t + i + j
=
=
= n * n
= n2 O(n2)
Give a big-O estimate for the number of additions ued in the segment of an algorithm...
Discrete Math Give a big-Theta estimate for the number of additions in the following algorithm a) procedure f (n: integer) bar = 0; for i = 1 to n^3 for j = 1 to n^2 bar = bar + i + j return bar b) Consider the procedure T given below. procedure T (n: positive integer) if n = 1 return 2 for i = 1 to n^3 x = x + x + x return T(/4) + T(/4) +...
consider this segment of an algorithm: for i := 1 ton n for j:=1 to n top:=ij+j+10 a. find a function f(n) that counts the number of multiplication and additions performed in this segment. b. Give a big O estimate for the number of additions and multiplications used in the segment
1, Variation on 3.3#4] Give a big-O estimate in terms of n for the number of oper- ations used in this segment of an algorithm, where an operation is an addition or a multiplication, (ignoring comparisons used to test the conditions in the while loop). while i 〈 n j:= j + i [10 points]
Problem 7. Give a big-O estimate for the number of operations where an operation is an addition or a multiplication, used in this segment of an algorithm (ignoring comparisons used to test the conditions in the vhile loop. while i Sn do end while
I need help with my discrete math problem. can you show me step by step process . Thanks in advance 3. Give a big-O estimate and a pair of witnesses for the number additions used in this segment of an algorithm. t:= 0 for i:=1 ton for j := 1 to n-i t:=t+i+j
b. what is the order (big -o) of this algorithm? 11. To answer this question, consider the n, consider the following algorithm: for (int i-0; i<ni i++) for (int j = 0; j <= i; j++) // three assignment statements in body of this inner loop a. (6 pts) Exactly how many assignments (in terms of n) are made in this algorithm?
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
) Consider the following algorithm procedure polynomial (c, a0,a1, …, an) power :=1 y≔a0 for i=1 to n power≔power*c y≔y+ai*power return y Find a big-O estimate for the number of additions and multiplications used by this algorithm.
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...
Need to find number of elementary expressions in terms of n, not looking for Big O complexity. 4. Work out the number of elementary operations in the worst possible case and the best possible case for the following algorithm (justify your answer): 0: function Nonsense (positive integer n) 1: it1 2: k + 2 while i<n do for j+ 1 to n do if j%5 = 0 then menin else while k <n do constant number C of elementary operations...