Pls give thumbs up
a) The best case will be the people are standing in the ascending order of their heights i.e. the first person a1 is the smallest, a2 is the second smallest and so on
a1 < a2 < a3 < ... < an
In this case, the line will not even trigger a single time
(b)
The worst case will be the people are standing in the descending order of their heights i.e. the first person a1 is the tallest, a2 is second tallest and so on
a1 > a2 > a3 > ... > an
In this case, the line will trigger every time
(c) The run time of this will be Theta(n), since there is a single loop getting excercised from 1 to n
(d) The algorithm is correct since we are counting the comparison of the people with the last standing person and incrementing the count, if we see a match of this comparison
Here is a recursive algorithm that answers the same question as posed on Group HW3, finding...
(V). Given the following algorithm, answer relevant questions. Algorithm 1 An algorithm 1: procedure WHATISTHIS(21,22,...,n: a list of n integers) for i = 2 to n do c= j=i-1 while (j > 0) do if ra; then break end if 4j+1 = a; j= j-1 end while j+1 = 1 end for 14: return 0.02. 1, 15: end procedure Answer the following questions: (1) Run the algorithm with input (41, 02, 03, 04) = (3, 0, 1,6). Record the values...
1. Consider the following well-known sorting algorithm, which is studied later in the book, with a counter inserted to count the number of key comparisons. ALGORITHM SortAnalysis(A[0..n − 1]) //Input: An array A[0..n − 1] of n orderable elements //Output: The total number of key comparisons made count ←0 for i ←1 to n − 1 do v ←A[i] j ←i − 1 while j ≥ 0 and A[j ]> v do count ←count + 1 A[j + 1]←A[j ]...
Using the pseudocode answer these questions Algorithm 1 CS317FinalAlgorithm (A[O..n-1]) ito while i<n - 2 do if A[i]A[i+1] > A[i+2) then return i it i+1 return -1 4. Calculate how many times the comparison A[i]A[i+1] > A[i+2] is done for a worst-case input of size n. Show your work. 5. Calculate how many times the comparison A[i]A[i+1] > A[i+2] is done for a best-case input of size n. Show your work.
Problem 1. 1. Draw the decision tree for the merge-sort algorithm for the input consisting of 3 numbers: a, b,c. 2. Draw the 4 top levels of the decision tree for the merge-sort algorithm for the input consisting of 4 numbers: a, b, c, d 3. How may leaves does this tree have? 4. How many levels does this tree have? 5. What is the number of comparisons needed to sort these 4 numbers by the merge-sort algorithm in the...
[Recursive Cost] [ALGORITHM] Improving Efficiency PLEASE explain in DETAIL the following question in detail. The algorithm is also given below. Thank You! 1.a) Define recursively the worst case cost Kn of the Knapsack function for n items. Remember that you need to provide both the base case and the recurrence relation. Also do not forget to include the cost of the function Worth in your cost. Justify your answer (i.e. explain what each component of the formula represents). [5points] 1.b) Use...
What is the worst-case asymptotic time complexity of the following divide-andconquer algorithm (give a Θ-bound). The input is an array A of size n. You may assume that n is a power of 2. (NOTE: It doesn’t matter what the algorithm does, just analyze its complexity). Assume that the non-recursive function call, bar(A1,A2,A3,n) has cost 3n. Show your work! Next to each statement show its cost when the algorithm is executed on an imput of size n abd give the...
What is the worst-case asymptotic time complexity of the following divide-andconquer algorithm (give a Θ-bound). The input is an array A of size n. You may assume that n is a power of 2. (NOTE: It doesn’t matter what the algorithm does, just analyze its complexity). Assume that the non-recursive function call, bar(A1,A2,A3,n) has cost 3n. Show your work! Next to each statement show its cost when the algorithm is executed on an imput of size n abd give the...
Question 4 (10 marks) When analysing the complexity of algorithms, there are three main approaches: worst case, best case and average case. As an example, consider measuring the complexity of list-merging by counting the number of comparisons used As a test example, assume the following A1: There are two ordered lists, each of length 4, say A2: Neither list contains repeats, so a! < a2 < аз < a4 and bl <b2 < b3 < b4 A3: The lists are...
Below is a linear time complexity algorithm Max-Min-VER1 to find the biggest and smallest element a given list. Input: A is a given list Output: two integers Example: Given A = {1, 5, 9, -3}. It returns -3 (the smallest element), and 9 (the biggest element) Max-Min-VER1(A, n) Line 1: large ← A[0] Line 2: for I from 1 to n - 1 do Line 3: large ← Math.max(large, A[I]) Line 4: small ← A[0] Line 5: for I from...
Given the following algorithm: Algorithnm Input: a1, a2,...,an, a sequence of numbers n, the length of the sequence x, a number Output: ?? i:- 1 While (x2 # a, and i < n) i+1 End-while If (x- - a) Return(i) Return(-1) 3, -1, 2,9, 36,-7, 6,4 a) What is the correct output of the Algorithm with the following input: a1, a2,..an b) What is the asymptotic worst-case time complexity of the Algorithm? Algorithnm Input: a1, a2,...,an, a sequence of numbers...