1: |R|←|P| Reserve space for |P| = 13 values. 2: x ← n 3: for i ← 0 ...(|P| − 1) do 4: c ← x div Pi Number of multiplicands Pi in x. 5: Ri ← c 6: x ← x − c · Pi 7: end for 8: return R A Java programmer could implement Algorithm by first modelling the primitive numbers with the enumeration type RomanNumeral. Each enum constant (I, IV, ..., M) is declared with its decimal value, which can be accessed with the function getValue().
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1: |R|←|P|
Reserve space for |P| = 13 values.
2: x ← n
3: for i ← 0 ...(|P| − 1) do
4: c ← x div Pi
Number of multiplicands Pi in x.
5: Ri ← c
6: x ← x − c · Pi
7: end for
8: return R
A Java programmer could implement
numbers with the enumeration type RomanNumeral. Each enum constant (I, IV, ..., M) is declared with its decimal value, which can be accessed with the function getValue().
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- 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.Count consecutive summers def count_consecutive_summers(n): Like a majestic wild horse waiting for the rugged hero to tame it, positive integers can be broken down as sums of consecutive positive integers in various ways. For example, the integer 42 often used as placeholder in this kind of discussions can be broken down into such a sum in four different ways: (a) 3 + 4 + 5 + 6 + 7 + 8 + 9, (b) 9 + 10 + 11 + 12, (c) 13 + 14 + 15 and (d) 42. As the last solution (d) shows, any positive integer can always be trivially expressed as a singleton sum that consists of that integer alone. Given a positive integer n, determine how many different ways it can be expressed as a sum of consecutive positive integers, and return that count. The number of ways that a positive integer n can be represented as a sum of consecutive integers is called its politeness, and can also be computed by tallying up the number of odd divisors of that number. However, note that the linked Wikipedia de0inition…Count consecutive summers def count_consecutive_summers(n): Like a majestic wild horse waiting for someone to come and tame it, positive integers can be broken down as sums of consecutive positive integers in various ways. For example, the integer 42 often used as placeholder in this kind of discussions can be broken down into such a sum in four different ways: (a) 3 + 4 + 5 + 6 + 7 + 8 + 9, (b) 9 + 10 + 11 + 12, (c) 13 + 14 + 15 and (d) 42. As the last solution (d) shows, any positive integer can always be trivially expressed as a singleton sum that consists of that integer alone. Given a positive integer n, determine how many different ways it can be expressed as a sum of consecutive positive integers, and return that count. The count of how many different ways a positive integer n can be represented as a sum of consecutive integers is also called its politeness, and can be alternatively computed by counting how many odd divisors that number has. However, note that the linked…
- Write a recursive function that, given a sequence of comparable values, returns the count of elements where the current element is less than the following ( next ) element in the given sequence. See the examples given below. def count_ordered ( seq ) : """ Input : A sequence of comparable elements Output : The number of elements that are less than the following element in the sequence Example : >>> count_ordered ( [ 1 , 2 , 3 , 4 , 5 , 6 ] ) 5 >>> count_ordered ( ( 1 , 12, 7.3 , -2,4 ) ) 2 >>> count_ordered ( 'Python' ) 2 >>> count_ordered ( [ 6 ] ) 0 >>> count_ordered ( [ ] ) 0 """ In the first example above , count_ordered ( [ 1,2,3,4,5,6 ] )the returned answer is 5 because for all the first 5 numbers the current number is less than the next number. In the second example above, count_ordered ( ( 1,12,7.3 , -2,4 ) )the…a)Implement a recursive algorithm that takes a decimal number n and converts n to its corresponding (you may return as a string) binary number. b) Implement a recursive algorithm to add all the elements of a non-dummy headed singly linked linear list. Only head of the list will be given as parameter where you may assume every node can contain only integer as its element.Note: you’ll need a Singly Node class for this code. c) Implement a recursive algorithm which will print all the elements of a non-dummy headed singly linked linear list in reversed order. Example: if the linked list contains 10, 20, 30 and 40, the method will print 40 30 20 10 Note: you’ll need a Singly Node class for this code. complete the code by using python 3. Please do not use any Built-In function. Do not copy-paste from other sources.Question 1:Convert a decimal to binary and binary to decimal using recursionTest your implementation with following examples:● (1947)10 = (11110011011)2● (1992)10 = (11111001000)2● (2021)10 = (11111100101)2Question 2:Implement a member function that prints a singly linked list in reverse order without creating acopy or changing the original List.void printBackwards() constQuestion 3:Implement a recursive member function “isSorted” which recursively checks whether the linked listis sorted (ascendingly).bool isSorted() constQuestion 4:You will implement a function bool Equalize_Occurrences (char key, int maxcount) of theclass list, that will take a character key and maximum count for the consecutive occurrences of thekey inparameters. It will then traverse the list, verify and update the consecutive occurrences of the keyaccordingto maximum count and returns true. It returns false if no occurrence of key is found.Note: You can traverse the list only once for this task.
- Question 14 papa .Using Python construct the following code: Implement "reverse" as a method of SinglyLinkedList, called as L.reverse(), that reverses the SinglyLinkedList instance L using only a constant amount of additional space (i.e., as an in-place algorithm) and not using any recursion. Full explain this question and text typing work only We should answer our question within 2 hours takes more time then we will reduce Rating Dont ignore this lineModified Recursive Binary Search • Write C++ program hw7.cpp that meets the following requirements: – First, write a recursive binary search function with the following prototype: int binarySearch(int array[], int first, int last, int value); – Now suppose we have a sorted array like this: int a[SIZE] = { 3, 5, 7, 9, 22, 22, 22, 22, 30, 35, 51, 52, 73 }; – Then the following statement int index = binarySearch(a, 0, SIZE-1, 22); – would return one of the indices that match the target value (22), and it could be index 4, 5, 6, or 7. – Now, your mission is to modify this recursive binary search function to always return the leftmost index when there are multiple indices that match the target value. Thus, in the above case, the function must return index 4. – If no match found, the function returns -1. – Write a main function that checks if your modified binary search function works as expected with at least 3 example arrays. – Note: your modified binary search function must ensure the…def find_root4(x, epsilon): ''' IN PYTHON Assume: x, epsilon are floating point numbers and epsilon > 0 Use bisection search to find the following root of x such that If x >=0, return y such that x - epsilon <= y ** 2 <= x + epsilon Else, return y such that x - epsilon <= y ** 7 <= x + epsilon Note: You must use bisection search to implement the function. ''' pass
- Given a sorted array, write a program named as ProblemB.cpp that creates a Binary Search Tree.Hints:•Write a recursive function to do the followings:a) Get the Middle of the array and make it root of the BST.b) Recursively call a function to do the same for left subarray (0 .. mid-1) and right subarray (mid+1..size-1).i) Get the middle of left half and make it left child of the root created in step a.ii) Get the middle of right half and make it right child of the root created in step a.c) return root.in C programing Write a recursive function that returns 1 if an array of size n is in sorted order and 0 otherwise. Note: If array a stores 3, 6, 7, 7, 12, then isSorted(a, 5) should return 1 . If array b stores 3, 4, 9, 8, then isSorted(b,4) should return 0.int isSorted(int *array, int n){'''Given code (copy-paste): Problem (see pic): def createList(n): #Base Case/s #ToDo: Add conditions here for base case/s #if <condition> : #return <value> #Recursive Case/s #ToDo: Add conditions here for your recursive case/s #else: #return <operation and recursive call> #remove the line after this once all ToDo is completed return [] def removeMultiples(x, arr): #Base Case/s #TODO: Add conditions here for your base case/s #if <condition> : #return <value> #Recursive Case/s #TODO: Add conditions here for your recursive case/s #else: #return <operation and recursive call> #remove the line after this once you've completed all ToDo return [] def Sieve_of_Eratosthenes(list): #Base Case/s if len(list) < 1 : return list #Recursive Case/s else: return [list[0]] + Sieve_of_Eratosthenes(removeMultiples(list[0], list[1:])) if __name__ == "__main__": n =…