What is the average case Big-O order for problem d.? 1:
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A: I have given an answer in step 2.
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A: The answer is given in the below step
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Q: Breath-first Search (BFS)
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Q: primary index is a non-dense O True
A: Lets see the solution.
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A: The Answer is in step-2.
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A: Step-01: The DFA provided does not contain dead and inaccessible regions(states).
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A: Krushkal algorithm finds minimum spanning tree.
Q: QUESTION 4 The graph below is strongly connected O True False
A: Introduction
Q: Yes, even if deadlock is prevented by deadlock-avoidance schemes, starvation is still possible. Your…
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Q: Solve subparts 7a,7b and 7c
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Q: In recurrence relation T(n) = T(n/3)+Θ(n2), the number of sub-problems are a 2 b n/2 c 1
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A: GIVEN: Use the substitution method to identify the big-Oh of the represented by the following…
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- Differentiate between a tree and a graph. b. Give code for a function delete(p) that deletes the node pointed to by p in a circular linked list and returns a pointer to the node after the deleted node. In an mxn matrix, where the row index varies from 1 to m and column index from 1 to n, aij denotes the number in the h row and the jh column. In the computer's memory, all elements are stored linearly using contiguous addresses. Therefore, to store a two-dimensional matrix, two-dimensional address space must be mapped to one- dimensional address space. In the computer's memory, matrices are stored in either row-major order or column- Column-major order major order form. In row-major order, the consecutive elements of a row reside next to each other. In column- major order, the consecutive elements of a column reside а. Row-major order a a12 a13 a a22 a23 с. a1 a12 a13 a23 a22 [5 1] 4 3 6 8 2 7] next to each other. Consider the matrix A = Base address of the matrix is 3FA2H. Each element…""Search in Rotated Sorted ArraySuppose an array sorted in ascending order is rotated at some pivot unknownto you beforehand. (i.e., [0,1,2,4,5,6,7] might become [4,5,6,7,0,1,2]).You are given a target value to search. If found in the array return its index,otherwise return -1.Your algorithm's runtime complexity must be in the order of O(log n).---------------------------------------------------------------------------------Explanation algorithm:In classic binary search, we compare val with the midpoint to figure out ifval belongs on the low or the high side. The complication here is that thearray is rotated and may have an inflection point. Consider, for example:Array1: [10, 15, 20, 0, 5]Array2: [50, 5, 20, 30, 40]Note that both arrays have a midpoint of 20, but 5 appears on the left side ofone and on the right side of the other. Therefore, comparing val with themidpoint is insufficient.However, if we look a bit deeper, we can see that one half of the array must beordered…01... ""Implementation of the Misra-Gries algorithm.Given a list of items and a value k, it returns the every item in the listthat appears at least n/k times, where n is the length of the array By default, k is set to 2, solving the majority problem. For the majority problem, this algorithm only guarantees that if there isan element that appears more than n/2 times, it will be outputed. If thereis no such element, any arbitrary element is returned by the algorithm.Therefore, we need to iterate through again at the end. But since we have filtredout the suspects, the memory complexity is significantly lower thanit would be to create counter for every element in the list. For example:Input misras_gries([1,4,4,4,5,4,4])Output {'4':5}Input misras_gries([0,0,0,1,1,1,1])Output {'1':4}Input misras_gries([0,0,0,0,1,1,1,2,2],3)Output {'0':4,'1':3}Input misras_gries([0,0,0,1,1,1]Output None"""..
- Consider the following multiplication problem: Given an integer list (an array) of size n, we want to calculate the product of all numbers in the list and display the result. (a) Define an instance of a problem in general. (b) Specify two different instances of the multiplication problem defined above. (c) What is the solution for each instance in part (b). How did you come up with that solution?Given the following non-recursive implementation of depth-first search: A. Complete the implementation of depth-first search by filling in the TODO sections with the appropriate C++ code. Remember to: Print out each node you visit. Visit each node exactly once.Below are a number of statements about linear and binary search. A. Linear search systematically searches from beginning to end. B. Linear search as well as binary search works on both sorted and unsorted data sets. C. For linear search, T (n) = O (n) applies in the worst case. D. For linear search, T (n) = 0 (n) applies in the worst case, if the quantity is unsorted. E. For binary search, T (n) = O (log n) applies in the worst case. Indicate which of these is correct. a,b,d,e true a,b,c,d true a,c,d,e true a,e true
- Consider the following problems for recursive definition/solution. Answer the following questions. [Remember that a recursive definition/solution requires base case and recursive case] Consider a list of numbers A {55,12,53,56,24,1,7,42}. Sort is by using Merge Sort. Show each step in dividing the list and conquering/combining it.4. Consider the function IndexEqual(A,i.j) that returns true if there exists an index x (i sx sj) such that A[x] = x; otherwise, retums false. You may assume A is a sorted integer array in which every element is unique. a. Write an efficient recursive algorithm for IndexEqual(A,i.j). b. What is the situation resulting in the best-case running time of your function, and give an expression for that running time? c. What is the situation resulting in the worst-case running time of your function, and give an expression for that running time in terms of n, where n=j-i+1?1.a)Given an array which is sorted in descending [large to small] order and got no repeated numbers. You are asked to apply linear search. You are asked to find a number which exists. What should be the worst time complexity and why? b) A. Given the array of numbers 50 10 90 120 -13 3 89, you are asked to apply Binary Search to find a certain number. show the simulation and what would be the best achievable time complexity?
- Correct answer will be upvoted else Multiple Downvoted. Don't submit random answer. Computer science. Ridbit begins with an integer n. In one action, he can perform one of the accompanying tasks: partition n by one of its appropriate divisors, or take away 1 from n in case n is more prominent than 1. An appropriate divisor is a divisor of a number, barring itself. For instance, 1, 2, 4, 5, and 10 are appropriate divisors of 20, however 20 itself isn't. What is the base number of moves Ridbit is needed to make to decrease n to 1? Input The principal line contains a solitary integer t (1≤t≤1000) — the number of experiments. The main line of each experiment contains a solitary integer n (1≤n≤109). Output For each experiment, output the base number of moves needed to lessen n to 1.1.Implement a recursive function allCharsPerm( listOfChars ) the generates all unique permutations of the chars in listOfChars. You can assume listOfChars contains unique chars (no repeated characters in the list). 2.Solve the recurrence and state the time complexity using Big-O notation. This will be challenging. Hint: Try forward or backward iteration / substitution, and keep very organized with your parentheses.Let A and B be two integers valued arrays of sizes n1 & n2 respectively. The elements of the two arrays are sorted in increasing order and may contain duplicate elements.It is required to form a list, C, of distinct elements, in increasing order, that are in A but not in B and in B but not in A. (There shall be no duplicate elements in list C.)The two arrays, A & B, can only be traversed once.Example:A: -2, 2, 4, 4, 4, 7, 9, 9, 9, 12, 15,B: 1, 2, 5, 9, 15, 15, 15, 17, 17, 17C: -2, 1, 4, 5, 7, 12, 17