Your application will have a huge number of find the maximum operations, but a relatively small number of insert and remove the maximum operations. Which priority- queue implementation do you think would be most effective: heap, unordered array, or ordered array? please Explain your Answer.
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Heap and Heap Sort
- Your application will have a huge number of find the maximum operations, but a relatively small number of insert and remove the maximum operations. Which priority- queue implementation do you think would be most effective: heap, unordered array, or ordered array? please Explain your Answer.
- Show in the style given in the class, how the number 82403 will be sorted using heap-sort (min-heap).
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- The implementation of a queue in an array, as given in this chapter, uses the variable count to determine whether the queue is empty or full. You can also use the variable count to return the number of elements in the queue. On the other hand, class linkedQueueType does not use such a variable to keep track of the number of elements in the queue. Redefine the class linkedQueueType by adding the variable count to keep track of the number of elements in the queue. Modify the definitions of the functions addQueue and deleteQueue as necessary. Add the function queueCount to return the number of elements in the queue. Also, write a program to test various operations of the class you defined.Write code for circular queues method (Deque) using array data structure which should: Delete the element from array(queue) from front and vacate space for new element to insert (Not Replace). Hint: Make a new queue to store remaining elements at previous positions of queue. Please consider above scenario as problem is above scenario otherwise the other method is clear. Please!!! (Code in C++ Don't use pointers)Min Heap of Candy — Add and Remove Using the provided code (Question04.java and Candyjava), write the add and remove methods for a min heap of Candy using an array implementation. Make sure to include all provided files in your project and write your solution in the file "Question04.java". This method should preserve the properties of a min hap, and the candies are compared based on their weight. This value can be accessed through its accessor. Solution Tests: • Does the solution compile? • Does the solution have your name in the comments? • Does the solution have a high-level solution description (150-300 words) in the comments? • Does the method preserve the properties of a Min Heap? • Does the output match the following? Testing the Add Method Candy Weight: 10.0, Candy Weight: 40.0, Candy Weight: 20.0, Candy Weight: 50.0, Candy Weight: 60.0, Candy Weight: 80.0, Candy Weight: 30.0, Candy Weight: 100.0, Candy Weight: 70.0, Candy Weight: 90.0, Testing the Remove Method Candy Weight:…
- Introduction For this assignment, you are to write a program which implements a Sorted List data structure using a circular array-based implementation and a driver program that will test this implementation. The Sorted List ADT is a linear collection of data in which all elements are stored in sorted order. Your implementation has to store a single int value as each element of the list and support the following operations: 1. add(x) – adds the integer x to the list. The resulting list should remain sorted in increasing order. The time complexity of this operation should be 0(N), where N is the size of the list. 2. removefirst() - deletes the first integer from the list and returns its value. The remaining list should remain sorted. Time complexity of this operation should be 0(1). 3. removelast() – deletes the last integer from the list and returns its value. The remaining list should remain sorted. Time complexity of this operation should be 0(1). 4. exists(x) – returns true if the…Stack stores elements in an ordered list and allows insertions and deletions at one end. The elements in this stack are stored in an array. If the array is full, the bottom item is dropped from the stack. In practice, this would be equivalent to overwriting that entry in the array. And if top method is called then it should return the element that was entered recently.This chapter describes the array implementation of queues that use a special array slot, called the reserved slot, to distinguish between an empty and a full queue. Write the definition of the class and the definitions of the function members of this queue design. Also, write a program (in main.cpp) to test various operations on a queue. //Header file QueueAsArray #ifndef H_QueueAsArray #define H_QueueAsArray #include <iostream> #include <cassert> using namespace std; template<class Type> class queueType { public: const queueType<Type>& operator=(const queueType<Type>&); // overload the assignment operator void initializeQueue(); int isEmptyQueue() const; int isFullQueue() const; Type front() const; Type back() const; void addQueue(Type queueElement); void deleteQueue(); queueType(int queueSize = 100); queueType(const queueType<Type>& otherQueue); // copy constructor…
- Student should be able to develop the programs for queue using arrays and linked list By Using C++ software. Exercise 1: Implementation of Queue using Array or Linked list Consider a real life situation. Formulate a question and then design a simulation that can help to answer it. Choose one of the following situations: • Cars lined up at a car wash • Customers at a grocery store check-out • Airplanes taking off and landing on a runway • A bank teller Be sure to state any assumptions that you make and provide any probabilistic data that must be considered as part of the scenario.2. You have a large array that you want to be sorted In ascending order. Under what circumstances would the bubblesort algorithm sort that array very quickly? A. if the array is initially in descending order B. if the array elements can be mapped to a linked list C. if the array elements are already close to their eventual sorted position D. if the array elements are string objects E. never, heapsort will always be fasterIn C++, Implement a Priority Queue(PQ) using an UNSORTED LIST. Use an array size of 20 elements. Use a circular array: Next index after last index is 0. Add the new node to next available index in the array. When you add an element, add 1 to index (hit max index, go to index 0). Test if array in full before you add. When you remove an element, from the list, move the following elements to the left to fill in the blank, etc ( Like prior program done with LISTS ) Create a class called Node: Have a Name and Priority. Data set - 1 is the highest priority, 10 is lowest priority. Enqueue and dequeue in the following order. Function Name, Priority Enqueue Joe, 3 Enqueue Fred, 1 Enqueue Tuyet, 9 Enqueue Jose, 6 Dequeue Enqueue Jing, 2 Enqueue Xi, 5 Enqueue Moe, 3 Dequeue Enqueue Miko, 7 Enqueue Vlady, 8 Enqueue Frank, 9 Enqueue Anny, 3 Dequeue Enqueue Xi, 2 Enqueue Wali, 2 Enqueue Laschec, 6 Enqueue Xerrax, 8 Dequeue Dequeue Dequeue Dequeue Dequeue Dequeue Dequeue Dequeue Dequeue Dequeue…
- Computer Science Approach of this Problem and psedocode: 1.Implement an Array List class of type int using primitive array int[] for internal storage. Don't need generic type. 2.Provide constructor, get(int index), and append(int value) methods. Array should dynamically grow as neededACTIVITY 2: HEAPSORT The idea is that the imported array-to-sort will have to be an array of DSAHeapEntry objects, heapSort() will need to replace its heap with this array. • Then you can use the pseudo code in the lecture notes. Write a good test harness using either a random list of varying size such as found in the SortsTest, or read in the numbers from the 7000 names file.Implement the function below. void swap(int pos1, int pos2){} Initial code to be completed: class ArrayList : public List { int* array; int index; int capacity; void dyn_all_add(){ int cap = ceil(capacity * 1.5); array = (int*)realloc(array,cap * sizeof(int)); capacity = cap; } void dyn_all_rem(){ int cap = capacity - (capacity/3); array = (int*)realloc(array,cap * sizeof(int)); capacity = cap; } public: // CONSTRUCTOR ArrayList() { capacity = 4; array = (int*)malloc(capacity); index = 0; } int add(int num) { if (index == capacity){ dyn_all_add(); } *(array + index) = num; index++; return index; } int get(int pos){ if (pos-1 < index){ return *(array + pos-1); } return -1; } int size(){ return index; }…