Mark all statements that are true. The selection sort and heap sort have the same worst-case time performance. The performance of the remove operation in a binary search tree is O(N) in the worst case (N is the number of nodes in the tree). The minimum number of leaves in a binary heap with four levels is 4. The bubble sort and quicksort have the same worst-case time performance. | The height of a binary heap is always O(log N) where N is the number of nodes in the tree. It is always more efficient to sort an array of values and then perform a binary search, than to perform a linear search. The actual running time of an algorithm with the performance of O(N) is always slower than the actual running time of an algorithm with the performance of O(logN). The worst case, average case and best case time performance of mergesort is O(N logN) - when N is the number of elements in the array.

Mark all statements that are true. The selection sort and heap sort have the same worst-case time performance. The performance of the remove operation in a binary search tree is O(N) in the worst case (N is the number of nodes in the tree). The minimum number of leaves in a binary heap with four levels is 4. The bubble sort and quicksort have the same worst-case time performance. | The height of a binary heap is always O(log N) where N is the number of nodes in the tree. It is always more efficient to sort an array of values and then perform a binary search, than to perform a linear search. The actual running time of an algorithm with the performance of O(N) is always slower than the actual running time of an algorithm with the performance of O(logN). The worst case, average case and best case time performance of mergesort is O(N logN) - when N is the number of elements in the array.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Heapsort analysis in python or java implement the Heapsort algorithm. Include a counter so at the end of the execution of the algorithm the number of operations carried out is displayed. also design two test cases: best and worst case. Explain why they represent these cases. Run the implemented algorithm for the best case and display the number of operations performed. Run the implemented algorithm for the worst case and display the number of operations performed. You must implement the algorithm, do not use a pre-implemented function. Thanks in advance!
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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.
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48. If the list through the heap is doubly-linked, it is easy to find the node to set "las" to... True False