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Dear Experts, Please provide the solution in Java programming. thanks. 3 questio

ID: 3583889 • Letter: D

Question

Dear Experts,

Please provide the solution in Java programming. thanks.

3 questions as follows. Pls take note the symbol ¬ is actually an arrow pointing to left side.

Exercise: Give a big-Oh characterization for below questions.

1.

Algorithm Ex1(A, n)

Input an array X of n integers

Output the sum of the elements in A       

s ¬ A[0]

for i ¬ 0 to n - 1 do

s ¬ s + A[i]

   return s

2.

Algorithm Ex2(A, n)

Input an array X of n integers

Output the sum of the elements at even cells in A    

s ¬ A[0]

for i ¬ 2 to n - 1 by increments of 2 do

s ¬ s + A[i]

return s

3.

Algorithm Ex1(A, n)

Input an array X of n integers

Output the sum of the prefix sums A   

s ¬ 0

for i ¬ 0 to n - 1 do

s ¬ s + A[0]

            for j¬ 1 to i do

    s ¬ s + A[j]

return s  

Explanation / Answer

Please find the answers below along with the comments, which explains each step :

1)

Algorithm Ex1(A, n)

double Ex1(int[] A, int n) {

double s = A[0]; //initialize sum variable s with first element in array A

for(int i=1; i<= n-1; i++){ //iteration to find sum of all elements in the array A
  
s = s + A[i]; //add the value at position i

}

return s; //return s;

}

Here O(n) will be equal to the no:of loop iterations because the rest of the statements in the function are O(1) which are constant. Thus O(n) = n.

2)

Algorithm Ex2(A, n)

double Ex2(int[] A, int n) {

double s = A[0]; //initialize sum variable s with first element in array A

for(int i=2; i<= n-1; i=i+2){ //iteration to find sum of all elements in the array A, in which the iteration variable i will contains even values 2,4,6,...n-1 (note that i increments by 2)
  
s = s + A[i]; //add the value at position i (which will be an even position)

}

return s; //return s;

}

Here O(n) will be equal to the no:of loop iterations because the rest of the statements in the function are O(1) which are constant. Thus O(n) = n/2. Because here the iteration steps by 2.

3)

Algorithm Ex3(A, n)

double Ex3(int[] A, int n) {

double s = 0; //initialize sum variable s as 0

for(int i=0; i<= n-1; i=i+2){ //outer iteration loop
  
s = s + A[0]; //add the value at position i

for(int j=1; i<= i; i=i+2){ //inner iteration loop

   s = s + A[i]; //summation

}

}

return s; //return s;

}

Here O(n) will be equal to the no:of loop iterations because the rest of the statements in the function are O(1) which are constant. Thus O(n) = n x n = n2. Because here there is an inner loop within an outer, thus in an average case it will be n x n.

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