Introduction to Algorithms
Introduction to Algorithms
3rd Edition
ISBN: 9780262033848
Author: Thomas H. Cormen, Ronald L. Rivest, Charles E. Leiserson, Clifford Stein
Publisher: MIT Press
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Chapter 5.3, Problem 4E
Program Plan Intro

To show that each element A[i] has a 1/n probability of winding up in any particular position in B and also show that resulting permutation is not uniformly random.

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Given an integer n and an array a of length n, your task is to apply the following mutation to a:     Array a mutates into a new array b of length n.    For each i from 0 to n - 1, b[i] = a[i - 1] + a[i] + a[i + 1].    If some element in the sum a[i - 1] + a[i] + a[i + 1] does not exist, it should be set to 0. For example, b[0] should be equal to 0 + a[0] + a[1].
Algorthim of how to find the largest element missing in an unsorted array of n positive  integers and the running time of the algorthim is in O(n).  Example of this is that the n=6 array C= [5,90,8,6,26,9] The largest element missing in the array is 7
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…
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