Question

1. For each pseudo-code below derive the simplified asymptotic running time in Q(?) notation. (1) for...

1. For each pseudo-code below derive the simplified asymptotic running time in Q(?) notation.

(1)

for 1 <-- .. n do

j <- 2

   while j <= n do j <-- j*j

(2)

for i <-- 1 .. n do

j <-- 1

    while j*j <= i do j <-- j + 1

Homework Answers

Answer #1

(1)

for 1 <-- .. n do

j <- 2

   while j <= n do j <-- j*j

Answer:O(n*√n)

Explanation:

The Outer loop runs for N time , while the inner loop runs for √n time. The Total time taken is n*√n => n3/2

=> O(n*√n)

(2)

for i <-- 1 .. n do

j <-- 1

    while j*j <= i do j <-- j + 1

Answer:O(n*√n)

Explanation:

The Outer loop runs for N time , while the inner loop runs for √n time. The Total time taken is n*√n => n3/2

=> O(n*√n)

Thanks, PLEASE COMMENT if there is any concern.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Analyze the worst case running time of the following code in “big-Oh” notation in terms of...
Analyze the worst case running time of the following code in “big-Oh” notation in terms of the variable n. a. void fdisp1(int n) { for(int i=0; i < n; i++) { for(int j=0; j < n; j++) { for(int k=0; k < n; k++) { for(int m=0; m < n; m++) { System.out.println("Hi I am Here"); } } } } } b. voidprintAllPossibleOrderedPairs(intarr[], int size) { for (int i = 0; i < size; i++) { for (int j =...
Analysing Algorithmic Efficiency (Marks: 3) Analyze the following code fragment and provide an asymptotic (Θ) bound...
Analysing Algorithmic Efficiency (Marks: 3) Analyze the following code fragment and provide an asymptotic (Θ) bound on the running time as a function of n. You do not need to give a formal proof, but you should justify your answer. 1: foo ← 0 2: for i ← 0 to 2n 2 do 3: foo ← foo × 4 4: for j ← 1396 to 2020 do 5: for k ← 4i to 6i do 6: foo ← foo ×...
   1)T(n) = 27 T (n/3) + n3 2)Calculate the running time for the following code...
   1)T(n) = 27 T (n/3) + n3 2)Calculate the running time for the following code fragment. Algorithm test int counter, i, j; counter := 0; for (i:= 1; i < n; i*=2) { for (j:= 0; j < i; j++) { counter := counter +1 } } 3)Let f(n) = 2lg 8n + 3 be a function.
For each pseudo-code function below (after the next ==== line), write a useful loop invariant capturing...
For each pseudo-code function below (after the next ==== line), write a useful loop invariant capturing correctness for the main loop in each of the following programs and briefly argue initialization, preservation, and termination. EXAMPLE PROBLEM: //Function to return the max of an array A Maximum(array of integers A) Local integer integer m m=0 for i = 1 to n if A[i] > m then m = A[i] end function Maximum EXAMPLE SOLUTION: The loop invariant is m = max(0,...
Analyze the following code and provide a "Big-O" estimate of its running time in terms of...
Analyze the following code and provide a "Big-O" estimate of its running time in terms of n. Explain your analysis. for ( int i = n; i > 0; i /= 2 ) { for ( int j = 1; j < n; j += 2 ) { for ( int k = 0; k < n; k += 2 ) { ... // constant number of operations } } }
Show that the running time for the following segment of code is O(N3) without using the...
Show that the running time for the following segment of code is O(N3) without using the rule for loop. Make sure to count each statement that takes one unit of time. sum = 0; for( i = 0; i < n; i++ ) for( j = 0; j < n; j++ )             for( k = 0; k < n; k++ ) sum++;
Analyze the following code and provide a "Big-O" estimate of its running time in terms of...
Analyze the following code and provide a "Big-O" estimate of its running time in terms of n. Explain your analysis. for (int i = n; i >= n; i = i/2)           some O(1) time statements; end for
Please post all code in Pseudo code. Please post ORIGINAL answers do not copy from similar...
Please post all code in Pseudo code. Please post ORIGINAL answers do not copy from similar questions. Please post in a format that can be directly copied. Reasoning on answers would be most helpful but not required. Thank you in advance for your help. 2. Consider the following algorithm for finding the distance between the two closest elements in an array of numbers. ALGORITHM MinDistance(A[0..n − 1])//Input: Array A[0..n − 1] of numbers //Output: Minimum distance between two of its...
Classify the type of variable identified below using the following notation: Quantitative = Q Ratio =...
Classify the type of variable identified below using the following notation: Quantitative = Q Ratio = R Qualitative = QL Interval = I Discrete = D Ordinal = O Continuous = C Nominal = N Variable: The time it takes to walk one mile. a QL O b QL N c Q C I d Q D R e Q C R
Please post all code in Pseudo code. Please post ORIGINAL answers do not copy from similar...
Please post all code in Pseudo code. Please post ORIGINAL answers do not copy from similar questions. Please post in a format that can be directly copied. Reasoning on answers would be most helpful but not required. Thank you in advance for your help. 1.Design an algorithm to find all the common elements in two sorted lists of numbers. For example, for the lists 2, 5, 5, 5 and 2, 2, 3, 5, 5, 7, the output should be 2,...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT