What is the Big-O runtime for Algorithm 1? O(n) O Ollogn) O O(nlogn) O(1) O(n?)
Q: Give the exact complexity classes of the functions: (log n)2 + √n + log n10, (n/2) + log nlogn,…
A:
Q: 2. What order is an algorithm that has as a growth-rate function (big -O) a. 8 x n3 – 9 xn b. 7 x…
A: a) f(n) = 8n^3 - 9n The above function represents a polynomial. The term with the highest degree is…
Q: Which of the following is complexity? For the purp exponentiation (i.e. "raise O o(2'n) O(log n) O…
A: Which of the following is descriptively known as Exponential complexity?
Q: What is the complexity of the following recurrence: T(n) = 4T(n/2) + n³, T(1) = 1 T(n) = O(nlogn)…
A: Answer: The given recurrence T(n) = 4T (n/2) + n3 where T (1) = 1 Here, a = 4, b = 2, f(n) = n3, d =…
Q: Given an algorithm with the recurrence relation of T(n) = T(n-1) +n. what is the Big O runtime? This…
A: Big O notation: F(n)=O(G(n)) if and only if F(n) ≤C.G(n) for some constant C such that C>0 and…
Q: What is the Big-Oh runtime for Algorithm 2? O(n) O(nlogn) O(n) Ologn) O(1)
A: In algorithm 2 ,we have to perform sorting on the list to get the list sorted then we have to get…
Q: What is the time complexity of the: 1+를 +1+1++ O 0(1) O 0 (n) O O (nlgn) O O (lg n)
A: The answer is given below:-
Q: What is the Big(O) complexity of the following: 0) n^3 + nlog2n + 8,000,000 1) 3^n +2^n + n^(1300)
A: 0) n^3 + nlog2n + 8,000,000 Answer is: O(n3) because n*n*n > n *log2n
Q: What the tightest asymptotic upper bound for the worst-case running time of heap sort? Select one:…
A: In order to perform heap sort, 2 operations are needed: insertion and root deletion. The time taken…
Q: What is the smallest asymptotic runtime of the following loop (i.e. the tightest bound)? for i=1 to…
A: Given two questions First question to find asymptotic runtime for the loop. Second question is to…
Q: Given a sorted array A of n distinct integers, some of which may be negative, give an O(log(n))…
A: Given: Given a sorted array A of n distinct integers, some of which may be negative, give an…
Q: Consider the following recursive algorithm. ALGORITHM Riddle(A[0..n-1]) Ilnput:AnarrayA[0.n-1]of…
A: Given:
Q: What is the worst case running time for an efficient algorithm that create a max heap from an array…
A: Below is the complete information for the given question in detail.
Q: Can you prove that an algorithm that is O(nlogm) or O(mlogn) is actually O(n+m) in time complexity?
A: To find the common elements in two sorted arrays. You have the choice of two algorithms: The…
Q: Please explain What is the big-O complexity of the following algorithm? void mystery(int* a, int…
A: C. O(n)
Q: 1. Consider the following program: (a) What is the recurrence relation? T(n)= if n l: Algorithm int…
A: For question number a, T(n) = 1, if n<=1 Explanation - As it is returning 1 in the base case so…
Q: The formal approach to determining the big-O complexity of an algorithm is to set up recurrence…
A: - We need to choose for the recurrence of linear search and other time complexity in employee id…
Q: Floyd's Algorithm has running time in terms of number of vertices n with number of edges kn O(n)…
A: “Since you have asked multiple questions, we will solve the first question for you. If you want any…
Q: Let T(n) be the number of operations an algorithm needs to solve a problem of size n. We say that an…
A: We need to find the correct option regarding time complexity.
Q: blä 3 Write an algorithm to print the ?multiplication table for number 9 Private Sub…
A:
Q: What is the complexity of the following recurrence: T'п) — 4T (п/2) + п3, T(1) 3 1 %3D T(n) = 0(nlog…
A: Master Theorem: The general form of the recurrence relation is as follows
Q: What order is an algorithm that has as a growth-rate function 8*n° - 9*n O 0(8 * n°) O O(n* * n) O…
A: For the given growth-rate function: 8n3 - 9n The highest power term is 8n3.
Q: Suppose an algorithm takes exactly the given number of statements for cach value bclow, in terms of…
A: Big-O complexity is the maximum time taken in power. If two terms are given then we select maximum…
Q: q12) Time complexity of Binary Search Algorithm is ________________. a. O(1) b. O( n2 ) c. O(…
A: Time complexity of Binary Search Algorithm is ________________.
Q: Show that T(n) has the same order as S(n) where T(n) = 3nª – 5n? S(n) = nº
A: Defined the asymptomatic order of the given functions
Q: This is a recursive algorithm, the time complexity is given by T(n,m) = T(n/2, m) + O(mn) T(2m, m) =…
A: Provided the time complexity for the above given recursive equation with detailed step by step…
Q: What is the time complexity of the : 1+를 + 1++ +. .+부 + 후 + + + 루 + 1 o0(1) O 0(1) O O (lg n) O O…
A: Answer in step 2
Q: Find and show the complexity of these questions : 1- T(n)= T(n-1)+ T(n-2) + c T(0) = 1 T(1)= 1
A: The time complexity of the algorithms is the perfect measure of the efficiency of program. The time…
Q: What is the tightest upper bound on the worst case runtime of the following algorithm from the…
A: Given Algorithm: 1. a = n 2. WHILE (a & (a - 1)) 3. a = a-1 4. END-WHILE…
Q: Implement the Miller Rabin Algorithm for testing a large odd number for primality. boolean…
A: // It returns false if n is composite and returns true if n.// accuracy level. Higher value of a…
Q: You have a large set of data with n elements, where n will tend to get very large. There is an…
A: Here in this question we have given a large set of data of n element.there is an algorithm which…
Q: What is the running time of Chan’s algorithm? a) O(log n) b) O(n log n) c) O(n log h) d) O(log h)
A: Question. What is the running time of Chan’s algorithm? a) O(log n) b) O(n log n) c) O(n log h) d)…
Q: Find the smallest r such that 0,(n) > (log2 n). maxk=[ (log2 n)2]; maxr=Max[3, [(Log2 n)1]; (*maxr…
A: I have solved your question with Explanation please check next steps for solution.
Q: Suppose an algorithm has T(n) = 2^n + n^4 + n log n. What is/are the Big Theta of the said…
A: We need to find the Big Theta of the function T(n) = 2n+n4+nlogn
Q: Write a program to Implement the Miller Rabin Algorithm for testing a large odd number for…
A: Sample Response: //Java program for Miller-Rabin algorithm for primality test of larger odd number…
Q: def Beer_algorithm(beer,pos,bBar): n = len(beer) b =beer.copy() for i in range(n 1): if b[i] >=…
A: Greedy is an algorithmic paradigm that builds up a solution piece by piece, always choosing the next…
Q: A problem is NP-Complete. Any algorithm to solve this problem is likely to run in time. O (n) O (n…
A: Filled the given statement
Q: ALGORITHM BruteForceClosestPair(P) //Finds distance between two closest points in the plane by br…
A: Here the outer loop wil run for i=1 to n. And for each outer loop i, the inner loop will run from…
Q: What is the time complexity of each iteration of Jacobi's method? O O(n) O On) O On O On lg n)
A: The answer is given below.
Q: The Big-Oh of an algorithm is derived from the T(n) of the algorithm. Suppose an algorithm has T(n)…
A: Big Oh Notation : The Big Oh notation of the program is used to find the function for the least…
Q: The time complexity equation of merger-sort is T(n) = 2* T(n/2) + n, where T(1) = C and C is a…
A: I would show the answer of first question only. Please post second question separately.
Q: Calculate the running time of the following algorithm/program and find the big-oh order of…
A: Big-O complexity is a way to tell that how much time or space a program will take to run or execute…
Q: Consider the following recursive algorithm. ALGORITHM Riddle(A[O..n–1]) //Input:AnarrayA[0..n –1]of…
A: The Answer is in Below Steps
Q: What is the big-O runtime of this algorithm when the input is a positive integer n? Input: n, a…
A:
Q: Implement the Miller Rabin Algorithm for testing a large odd number for primality in java program.…
A: Miller - Rabin method : it is probabilistic method, similar to fermat. But miller - Rabin is more…
Q: What is the smallest integer k such that nlog nnlog n is O (n*)0(n")
A: Defined the given statement
Q: ndicate the run time complexity: For (int i = 1; i < n; i*=2) k++; O Ollg n) O O(2") O O(n²) O O(n)…
A: We are given a code and we are going to find out it time complexity. I have solved it step wise to…
Q: What is the run time efficiency of an insertion algorithm? a) O(N) b) O(log N) c) O(N2) d) O(M log…
A: Insertion sort is a simple sorting algorithm that works similar to the way you sort playing cards in…
Q: 2. What value is returned by the following algorithm? What is its basic operation? How many times is…
A: The explanation is given in next step As per Bartleby rules we are answering the first 3 questions.
Computer Science Questions
Step by step
Solved in 2 steps
- Let L=(X1, X2Xn) be a list of n elements. Let us search for a key K in the list L. If the key is presented in the list L at index(or position); then partition the list Linto disjoint lists L1 and L2 such that L1=(x[i]: x[i]EL such that isj) and L2=(x[1]:x[i] EL such that i>j). If the key is not present in the list output is "no". Write an algorithm (using linked list) and subsequent C program for your algorithm to compute lists L1 and L2 for the given list L and key K. Note: Don't use any inbuilt functions in your program. Example1: If L=(16, 15, 1, 27, 19, 100, 200,3) and key k= 27 then L1=(16, 15,1,27) and L2=(19, 100,200, 3). Example 2: If L=(16, 15, 1, 27, 19, 100, 200,3) and key k= 127 then no. Input format Enter the list size n Enter the n numbers Enter the key valueSuppose that a list contains the values 20, 44, 48, 55, 62, 66, 74, 88, 93, 99 at index positions 0 through 9. Trace the values of the variables left, right, and midpoint in a binary search of this list for the target value 90. Repeat for the target value 44. [only analytical work is required, no code is necessary; meaning just work the problem out and explain methods. thx :) ]Write a program REMOVE_DUPLICATES that will remove duplicateelements in a list L that occur consecutively. The program should return the list withits elements in the same order of their appearance in the original list, but with theconsecutive duplicate elements removed.For example, for a list with elements {A, B, C, C, C, C, D, D, E, F, F}, theoutput list produced by REMOVE_DUPLICATES should be {A, B, C, D, E, F}.
- Let L={x1,x2,…,xn} be a list of n elements. Let us search for a key K in the list L. If the key is presented in the list L at index(or position) j then partition the list L into disjoint lists L1 and L2 such that L1={x[i]:x[i]εL such that i≤j} and L2={x[i]:x[i]εL such that i>j}. If the key is not present in the list output is “no”. Write an algorithm (using single linked list) and subsequent C program for your algorithm to compute lists L1 and L2 for the given list L and key K. Note: Don’t use any inbuilt functions in your program. Example1: If L={16, 15, 1, 27, 19, 100, 200,3} and key k= 27 then L1={16, 15,1,27} and L2={19, 100,200, 3}. Example 2: If L={16, 15, 1, 27, 19, 100, 200,3} and key k= 127 then no.Implements clone which duplicates a list. Pay attention, because if there are sublists, they must be duplicated as well. Understand the implementation of the following function, which recursively displays the ids of each node in a list def show_ids(M, level=0): k = M.first_node while k is not None: print(" "*2*level, id(k)) if (str(k.value.__class__.__name__) == str(M.__class__.__name__)): show_ids(k.value, level+1) k = k.next W=L2(Node(10, Node(L2(Node(14, Node(15, Node(L2(Node(16, Node(17))))))), Node(20, Node(30)))) )show_ids(W) Develop your solution as follows: - First copy the nodes of the current list (self) - Create a new list with the copied nodes - Loop through the nodes of the new list checking the value field - If this field is also a list (use isinstance as in the show_ids function) then it calls clone on that list and substitutes the value. Complete the code: def L4(*args,**kwargs): class L4_class(L):…The linked list provided below:2 > 3 > 1 > 7 > 5 > 18 > NULLHere the > symbol means a pointer.Write a complete Python program which deletes the third last node of thelist and returns to you the list as below2 > 3 > 1 > 5 > 18 > NULLThe third last node (with a value 7) has now been dislodged from the list.Here are the few things to consider :(a) We do NOT know the length of the list.(b) Your solution should be in O(n) time and O(1) space having madejust a single pass through the list.
- Create a DeleteDuplicatesclass which consists of a deleteDuplicates method which takes the nums list as its parameter. Implement the deleteDuplicates method: Check if the input list is null or empty, and return an empty list if so. Initialize a pointer i to keep track of the unique elements. Use a for loop to Iterate through the list using another pointer j which starts at j=1 and goes until j=nums.size(); If the current element at j is not equal to the previous element at i using !nums.get(i).equals(nums.get(j), increment i and set the current element at j to the new position at i using nums.set(i, nums.get(j)). After the for loop ends, return the sublist from the beginning to i + 1, as this will contain all unique elements. Call the deleteDuplicates method with the sample list as argument: Call the deleteDuplicates method and pass the nums list as argument Store the result in a variable result Print the result to the console. Input: [1, 1, 2, 3, 3,…Given a list of ‘n’ distinct elements, the task is to find all elements in the list which have at-least two greater elements than themselves. Maintain two separate list, one holding all such greater elements and the other list containing the rest of the elements in the same order. If the number of elements in the input list is less than or equal to 2 then the first list should contain ‘0’ and second list should contain all the input elements in the list.Implements clone which duplicates a list. Pay attention, because if there are sublists, they must be duplicated as well. Understand the implementation of the following function, which recursively displays the ids of each node in a list Develop your solution as follows: First copy the nodes of the current list (self) Create a new list with the copied nodes Loop through the nodes of the new list checking the value field If this field is also a list (use isinstance as in the show_ids function) then it calls clone on that list and substitutes the value. Complete the code: def L4(*args,**kwargs): class L4_class(L): def clone(self): def clone_node(node): return <... YOUR CODE HERE ...> r = <... YOUR CODE HERE...> return r return L4_class(*args,**kwargs)
- Assume that the nodes of the singly linked lists are arranged in decreasing order of the exponents of the variable x in order to add the two polynomials.The objective is to create a fresh list of nodes that represents the addition of P1 and P2. This is done by adding the COEFF fields of nodes in lists P1 and P2 that have identical powers of variable x, and then making a new node in the resulting list P1 + P2. The key part of the technique is shown below.The start pointers of the singly linked lists that correspond to the polynomials P1 and P2 are P1 and P2, respectively. Two temporary pointers, PTR1 and PTR2, are created with starting values of P1 and P2, respectively. Make procedural code.Implement two out of three of the basic sorting algorithms - Bubble Sort, Selection Sort, and Insertion Sort - in a generic List. Initial code to be completed: #include <iostream>#include "linkedlist.h" void bubbleSort(List*);void selectionSort(List*);void insertionSort(List*); /** * This activity is focused on using Arrays and Linked Lists as two different * implementations of List. It follows that you are only to use the methods of * List and not of the specific array or linkedlist. */int main(void) { // WARNING! Do not modify main method! // Doing so will nullify your score for this activity. char li; cin >> li; List* list; if (li == 'A') { list = new ArrayList(); } else { list = new LinkedList(); } int length; cin >> length; int input; for (int i = 0; i < length; i++) { cin >> input; list->add(input); } char sym; cin >> sym; int arg1; switch (sym) {…Write a program REMOVE_DUPLICATES that will remove duplicateelements in a list L that occur consecutively. The program should return the list withits elements in the same order of their appearance in the original list, but with theconsecutive duplicate elements removed.