EBK DATA STRUCTURES AND ALGORITHMS IN C
4th Edition
ISBN: 9781285415017
Author: DROZDEK
Publisher: YUZU
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an application has 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? Explain your Answer.
Both array lists and linked lists are examples of how a list may be implemented. Discuss a scenario when a linked list might be preferable than a list stored in an array. Explain your reasoning in each situation.
Write down the following methods of Single Linked List Implementation.
addAfter
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EBK DATA STRUCTURES AND ALGORITHMS IN C
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- Finish drawing the recursion tree for MergeSort: { } {10,7,2,5,9,6,4,1} What is the runtime of MergeSort? { }arrow_forwardWhat do O(n), O(1) mean, respectively, given some operations, which operations are O(n) or O(1)? What is/are the advantage(s) of linked lists over arrays? From where do you access to the nodes in a single linked list ?arrow_forwardExplain whether or not HeapSort is a stable sort. Prove your point or provide a counterexample.arrow_forward
- For c++ programming languge: How many comparisons are required in an array of 16 elements, if quicksort always chooses the largest element as pivot? What is the depth of the recursion tree?arrow_forwardGive an explanation of the difference between a stack and a heap. include the stack, the frame, and any other relevant data.arrow_forwardIdentify the recursive functions from the given code and give reasons why these functions are recursive. void mergeSort(int a[],int p,int r) { int q; if(p<r) { q=(p=r)/2; mergeSort(a, p, q); mergeSort(a, q+1, r); merge(a, p, q, r); } } void merge(inta[], int p, int q, int r) { int b[5]; int i, j, k; k=0; i=p; j=q+1; while(i<=q&&j<=r) { if(a[i]<a[j]) b[k++]=a[i++]; else b[k++]=a[j++]; } while(<,=q) b[k++]=a[i++]; while(j<=r) b[k++]=a[i++]; for(i=r;i>=p;i--) a[i]=b[--k]; }arrow_forward
- Looking at all four list implementations, which actions/methods tend to be less efficient in the Linked List implementation compared to the Array Implementation? Explain why for each action/method you specify.arrow_forwardCompare an Array, Single Linked List and Circular Linked List. Which is better to use in general and why? Which one is better for implementing a Queue or Stack?arrow_forwardDesign a more efficient version of HeapVector that keeps its values in order only when necessary: When values are added, they are appended to the end of the existing heap and a nonHeap flag is set to true. When values are removed, the nonHeap flag is checked and the Vector is heapified if necessary. What are the worst-case and best-case running times of the add and remove operations?arrow_forward
- What are the key differences between arrays and linked lists and how do they work?arrow_forwardImplement The Median of Medians In python Code. Def Median_of_medians (A, K): #Divide A Into Sublists of Len (n) Sublists In will take from user as 5, 7, 9arrow_forwardContinuing on from your implementation of the PriorityQueue class, add the method create_heap_fast (self, values) which takes a Python list as a parameter. This method should put elements from the Python list into the priority queue without using the insert method. The Big-O of this method is O(n). The method should do the following: • Insert each element from the parameter list and append it to the binary heap. • Set the size to the number of elements in the parameter list. • Get the starting index position (i.e. last element which has a child, size // 2). • Rearrange the elements starting from the above index position by calling the percolate_down() method. • Keep rearranging and working backwards towards the root. Note: submit the entire class definition. You can assume that the parameter list is not empty. For example: Test pq PriorityQueue () keys [9, 5, 8, 6, 3, 2] pq.create_heap_fast(keys) = = print (pq) Result [0, 2, 3, 8, 6, 5, 9]arrow_forward
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