* allSame returns true if all of the elements in list have the same value. * allSame returns false if any two elements in list have different values. * The array may be empty and it may contain duplicate values. * * Your solution should contain at most one loop. You may not use recursion. * Your solution must not call any other functions. * Here are some examples (using "==" informally): } true == allSame (new double[] { }) true == allSame (new double[] {11}) true == allSame(new double[] { 11, 11, 11, 11 }) false == allSame (new double[] { 11, 11, 11, 22 }) false == allSame (new double[] { 11, 11, 22, 11 }) == allSame (new double[] { 22, 22, 22, 22 }) * */ public static boolean allSame (double[] list) { return StdRandom.bernoulli(); //TODO: fix this

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Course: Algorithm Project: We will use the defintion of of n-Queens Problem from the chapter Backtracking.  In this project you need to describe Problem and Algorithm and Indicate input and output clearly.  Analyze and prove the time complexity of your algorithm. Implement the algorithm using backtracking(including writing testing case).illustrate key functions with comments indicating: What it does, what each parameter is used for, how it handles errors etc. Indicate the testing scenarios and testing the results in a clear way. Make sure source is commented appropriately and structured well.

Binary Search of Strings1. Write a version of the selection sort algorithm presented in the unit, which is usedto search a list of strings.2. Write a version of the binary search algorithm presented in the unit, which isused to search a list of strings. (Use the selection sort that you designed aboveto sort the list of strings.)3. Create a test program that primes the list with a set of strings, sorts the list, andthen prompts the user to enter a search string. Your program should then searchthe list using your binary search algorithm to determine if the string is in the list.Allow the user to continue to search for strings until they choose to exit theprogram

To determine if two lists of integers are equivalent, you must write a function that accepts the lists as input and returns true or false (i.e. contain the same values). The greatest value of each list must be shown if the lists are dissimilar and the procedure is effective.

Question in image Please explain the algorithm with the answer. Python programming

Quick Sort We choose an element from the list, called the pivot. We'll use it to divide the list into two sub-lists. We reorder all the elements around the pivot The ones with smaller value are placed before it All the elements greater than the pivot after it. After this step, the pivot is in its final position. This is the important partition step. We apply the above steps recursively to both sub-lists on the left and right of the pivot.   Quick Sort (Example) Consider the following array Arr[] = {5, 9, 4, 6, 5, 3} Let's suppose we pick 5 as the pivot for simplicity We'll first put all elements less than 5 in the first position of the array: {3, 4, 5, 6, 5, 9} We'll then repeat it for the left sub-array {3,4}, taking 3 as the pivot There are no elements less than 3 We apply quicksort on the sub-array in the right of the pivot, i.e. {4} This sub-array consists of only one sorted element We continue with the right part of the original array, {6, 5, 9} until we get the final ordered…

Complete the recursive function remove_last which creates a new list identical to the input list s but with the last element in the sequence that is equal to x removed. Hint: Remember that you can use negative indexing on lists! For example 1st [-1] refers to the last element in a list 1st, lst [-2] refers to the second to last element... def remove_last(x, s): """Create a new list that is identical to s but with the last element from the list that is equal to x removed. >>> remove_last(1, []) [] >>> remove_last(1, [1]) [] >>> [1] >>> [2] remove_last(1, [1,1]) remove_last(1, [2,1]) >>> remove_last(1, [3,1,2]) [3, 2] >>> remove_last(1, [3,1,2,1]) [3, 1, 2] >>> remove_last (5, [3, 5, 2, 5, 11]) [3, 5, 2, 11] IIIII "*** YOUR CODE HERE ***" Illustrated here is a more complete doctest that shows good testing methodology. It is a little cumbersome as documentation, but you'll want to think about it for your projects. Test every condition that might come up. Then you won't be surprised when…

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