Write out the algorithm (pseudocode) to find K in the ordered array by the method that compares K to every fifth entry until K itself or an entry larger than K is found, and then, in the latter case, searches for K among the preceding four. How many comparisons does your algorithm do in the worst case?

You are given a two-dimensional array A with n rows and n columns such that every element is either 1 or 0, and for every row, the 1s are placed ahead of 0s. Find the quickest algorithm to find a row with the most significant number of 1s. Analyze the time complexity of your algorithm.

Given an array of integers arr, sort the array by performing a series of pancake flips. In one pancake flip we do the following steps: Choose an integer k where 1 <= k <= arr.length. Reverse the sub-array arr[0...k-1] (0-indexed). For example, if arr = [3,2,1,4] and we performed a pancake flip choosing k = 3, we reverse the sub-array [3,2,1], so arr = [1,2,3,4] after the pancake flip at k = 3. Print out the k-values corresponding to a sequence of pancake flips that sort arr. Example 1: Input: arr = [3,2,4,1] Output: 4, 2, 4, 3 Explanation: We perform 4 pancake flips, with k values 4, 2, 4, and 3. Starting state: arr = [3, 2, 4, 1]. After 1st flip (k = 4): arr = [1, 4, 2, 3] After 2nd flip (k = 2): arr = [4, 1, 2, 3] After 3rd flip (k = 4): arr = [3, 2, 1, 4] After 4th flip (k = 3): arr = [1, 2, 3, 4], which is sorted. Another potential solution is: Output = 3, 4, 2, 3, 1, 2, 1, 1 with a similar explanation. All potential solutions that solve the problem are...

Quicksort is a powerful divide-and-conquer sorting algorithm that almost always runs in O(nlogn) time,though it can run in O(n^2) time for certain input arrays, depending on how we choose the pivot. For this question assume that the pivot isalwaysthe last (right-most) element of the input array.There are two main ways that we can code the PARTITION procedure: the Lomuto method and the Hoare method. Question: Clearly explain how the two partition methods work – the Lomuto method and the Hoare method, and how they are different. Finally apply both methods to partition the arrayA= [2, 8, 7, 1, 3, 5, 6, 4], using the pivot A[8] = 4.

algorithms are solely theoretical for a and b. please number the steps of the algorithm, thank you

Recall the implementation for Sorted Array-Based Collection in lecture and your reading. If N represents the number of elements in a sorted array-based collection, then the size method in that collection is of 0(1). True False

Using For-Loop and If-statement, find all the numbers divisible by 3 in the 2D array "a2". Do not use any shortcut functions. The code should be able to work with any 2D array of numbers of any size. a2-np.arange (1,21).reshape (4,5)

You're given an array arr. Apply the following algorithm to it: find intervals of consecutive prime numbers and consecutive non-prime numbers; replace each such interval with the sum of numbers in it; if the resulting array is different from the initial one, return to step 1, otherwise return the result. Input A non-empty integer array such that: -10000 ≤ arr[i] ≤ 10000 1 ≤ arr.length ≤ 1000 Output An integer array. Examples For arr = [1, 2, 3, 5, 6, 4, 2, 3] the result should be [21, 5]: [1, 2, 3, 5, 6, 4, 2, 3] --> [(1), (2 + 3 + 5), (6 + 4), (2 + 3)] --> [1, 10, 10, 5] [1, 10, 10, 5] --> [(1 + 10 + 10), (5)] --> [21, 5] For arr = [-3, 4, 5, 2, 0, -10] the result should be [1, 7, -10]: [-3, 4, 5, 2, 0, -10] --> [(-3 + 4), (5 + 2), (0 + -10)] --> [1, 7, -10] Solve it in C# please

Describe an algorithm for finding the 10 largest elements in an array of size n. What is the running time of your algorithm?

Given an integer array nums that may contain duplicates, return all possible subsets (the power set). The solution set must not contain duplicate subsets. Return the solution in any order.ONLY JAVASCRIPT

If a linear search is performed on an array, and it is known that some items are searched for more frequently than others, how can the contents of the array be reordered to improve the average performance of the search?

Consider this alogrithm:// pre: array A of length n, each A[i] is picked randomly uniformly// from the set {0,1,2,3,4,5,6,7,8,9}.// post: return the index of the first occurrence of "check digit" of A// (already computed in the code)// return -1 if check digit is not foundint FindCheckDigit(A) {check_digit = 0for (i=0; i < n; i++) check_digit = check_digit + A[i]check_digit = check_digit % 10 # % means remainder of divisionfor (i = 0; i < n; i++) { if (A[i] == check_digit) { return i }}return -1;}Compute the average runtime for this algorithm. Show all details of your computation for both loops.

Question A: Mapping. The two-sum problem is a popular algorithm problem. Given an array of integers and an integer target, return indices of the two numbers such that they add up to the target. You may assume that each input would have exactly one solution, and you may not use the same element twice. For example, suppose we have an array arr = [1,10,100]. If the target is 11, you should return [0,1] because arr[0] + arr[1] = 1+ 10 = 11. If the target is 101, you should return [0,2] because arr[0] + arr[2] = 1+ 100 = 101. Complete this problem in O(n). Hint: using a hash table.