Python Programming languageChef recorded a video explaining his favorite recipe. However, the size of the video is too large toupload on the internet. He wants to compress the video so that it has the minimum size possible.Chef's video has N frames initially. The value of the th frame is A₁. Chef can do the followingtype of operation any number of times:• Choose an index i (1 ≤ i ≤ N) such that the value of the ith frame is equal to the value ofeither of its neighbors and remove the ith frame.Find the minimum number of frames Chef can achieve.Input1211output1

Input-Output Format First line will contain T , the number of test cases. Then the test cases…

Answered: Chef recorded a video explaining his…

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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You are given an integer array X[1, . . . , n]. You should move each element of X[1, . . . , n] into one of the two arrays A and B such that A and B are non-empty and average(A) = average(B). Return true if it is possible to achieve that and false otherwise. Note that for an array A, average(A) is the sum of all the elements of A over the length of A. Precisely define the subproblem.Provide the recurrence equation.Describe the algorithm in pseudocode to compute the optimal value.Describe the algorithm in pseudocode to print out an optimal solution.
Create an array of size one million (1,000,019). Fill it in reverse sequentially with values (e.g. array[0] should equal 1,000,018, array[1] should equal 1,000,017, etc). Then the computer should select a random target number between 0 and array size – 1. You should then search the array for this value twice – once with a linear search algorithm, and then with a binary search algorithm. Start searching from the end of the array, rather than the beginning. Keep track of how long each one took, using the following criteria: Linear Search: Number of loop iterations before the target number was found Binary Search: Number of midpoints chosen (a.k.a “guesses”) taken before the target number was found Once both algorithms have been run, display the results and print which algorithm found the number first (or if there was a tie). Once both algorithms have been run, display the results and print which algorithm found the number first (or if there was a tie). In the rest of this assignment,…
I have tried all I can think of. Please help.
(B2). Implement a randomized Skip-List with operations Insert(), Delete() and Search(). Your program should read from the input file just like in (BI). Print out the skip-list using the format given below 16 16 71 91 2 16 71 89 91 2 10 15 16 31 71 86 89 91 96 27-10-15- 86 89 a 96
Let m be a matrix with n rows and n columns whose entries are either 1 or 0. recall that the element of m on row i and column j is denoted by mij . the diagonal entries of m are {mii} for 1 ≤ i ≤ n. We call M permutable if it is possible to swap some of the rows and some of columns so that all diagonal entries are 1. Design a polynomial time algorithm that decides whether a binary matrix M is permutable or not. Note that we can swap any two rows or two columns. Also, the order in which these swaps are done is not important.
Suppose that we are given a divisor and a target count, and we need to find the range of numbers from 1 that will have the target count of numbers divisible by the divisor. For example. If the divisor is 3 and the target count is 4, the range is 1 to 12, as in this range there are 4 numbers divisible by 3, viz. 3, 6, 9, and 12. Use a while loop to find the ending number of the range within which we will have the target count of numbers that are divisible by the divisor and print the result. Test the code with divisor = 13 and target count = 5. The printed result should be “Between 1 and 65 there are 5 numbers divisible by 13.” In rstudio
You are given a N*N maze with a rat placed at maze[0][0]. Find whether any path exist that rat can follow to reach its destination i.e. maze[N-1][N-1]. Rat can move in any direction ( left, right, up and down).Value of every cell in the maze can either be 0 or 1. Cells with value 0 are blocked means rat cannot enter into those cells and those with value 1 are open.Input FormatLine 1: Integer NNext N Lines: Each line will contain ith row elements (separated by space)Output Format :The output line contains true if any path exists for the rat to reach its destination otherwise print false.Sample Input 1 :31 0 11 0 11 1 1Sample Output 1 :trueSample Input 2 :31 0 11 0 10 1 1Sample Output 2 : false Solution: //// public class Solution { public static boolean ratInAMaze(int maze[][]){ int n = maze.length; int path[][] = new int[n][n]; return solveMaze(maze, 0, 0, path); } public static boolean solveMaze(int[][] maze, int i, int j, int[][] path) {//…
To have random-access lookup, a grid should have a scheme for numbering the tiles.For example, a square grid has rows and columns, which give a natural numberingfor the tiles. Devise schemes for triangular and hexagonal grids. Use the numberingscheme to define a rule for determining the neighbourhood (i.e. adjacent tiles) of agiven tile in the grid. For example, if we have a four-connected square grid, wherethe indices are i for rows and j for columns, the neighbourhood of tile i, j can bedefined asneighbourhood(i, j) = {i ± 1, j,i, j ± 1}
Consider an n by n matrix, where each of the n2 entries is a positive integer. If the entries in this matrix are unsorted, then determining whether a target number t appears in the matrix can only be done by searching through each of the n2 entries. Thus, any search algorithm has a running time of O(n²). However, suppose you know that this n by n matrix satisfies the following properties: • Integers in each row increase from left to right. • Integers in each column increase from top to bottom. An example of such a matrix is presented below, for n=5. 4 7 11 15 2 5 8 12 19 3 6 9 16 22 10 13 14 17 24 1 18 21 23 | 26 | 30 Here is a bold claim: if the n by n matrix satisfies these two properties, then there exists an O(n) algorithm to determine whether a target number t appears in this matrix. Determine whether this statement is TRUE or FALSE. If the statement is TRUE, describe your algorithm and explain why your algorithm runs in O(n) time. If the statement is FALSE, clearly explain why no…

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