The HeapSort algorithm has been improved. Describe and explain several methods for enhancing the performance of the HeapSort algorithm described in the lecture series. Explain why you believe speed might be improved.
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Q: The HeapSort algorithm has been improved. Describe and explain several methods for enhancing the…
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Q: The HeapSort algorithm has been improved. Explain and demonstrate numerous methods for improving the…
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- The HeapSort algorithm has been improved. Explain and demonstrate numerous methods for improving the performance of the HeapSort algorithm that was described in the lecture series. Explain why you believe speed might be improved.The HeapSort algorithm has been enhanced in this release. Explain and illustrate a variety of strategies for enhancing the performance of the HeapSort algorithm, which was introduced in the previous lecture series, including: Explain why you feel that the speed of the computer might be enhanced.The algorithm for HeapSort has been enhanced. Explain and illustrate a variety of ways to improve the performance of the HeapSort algorithm outlined in the lecture series. Describe why you think speed might be improved.
- Improvement of HeapSort. Demonstrate several ways to improve theperformance of the HeapSort algorithm discussed in the lectures. Explain whyspeed could be better.Java Programming language Please help me with this. Thanks in advance.Justify the extra work involved in the trickle down algorithm compared to the trickle up method when working with a heap.
- Design 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?Answer the given question with a proper explanation and step-by-step solution. Heapsort has heapified an array to: 94 85 80 22 49 55 77 and is about to start the second for loop.What is the array after the first iteration of the second for loop?There is an algorithm for making the heap complete:1. Remove the node at the root.2. Move the node in the last position to the root.3. Trickle the last node down until it is below.When this algorithm is applied continually, the data is removed from the heap in sorted order. Write the code for the Remove and TrickleDown methods in c#.
- Java help, can you please explain this I'm a beginner and I'm lost:( Implement a nested class DoubleNode for building doubly-linked lists, where each node containsa reference to the item preceding it and the item following it in the list (null if there is no suchitem). Then implement methods for the following tasks:• Print the contents of the list• Insert at the beginning• Insert at the end• Remove from the beginning• Remove from the end• Insert before a give node (Insert before the first occurrence of the node, if thenode exists; else insert at the end)• Insert after a given node (Insert after the first occurrence of the node, if the nodeexists; else insert at the end)• Remove a given node (Remove the first occurrence of the node, remove nothing ifnode not found)• Move to front (move the first occurrence of the node to the front)• Move to end (moved and first occurrence of the node to the end)Write a tester program and test your implementation. You must test each of these cases…As we in general, try to solve the problem first; we start with a brute force, simple, algorithm: design it below # write your implementation here def maxProfitBrute(changes): it returns the indices of (i,j) indicating the day to buy and sell respectively to have the maximum profit in a list of prices per day in . Inputs: - changes: the list holding the changes in prices; the value whose index is k represents the change between day and day has at least a single change [two days] Output: - i: the index of the change before which we buy j: the index of the change after which we sell - maxProfit: the value of the maximum profit Example: changes = [1, 2] - that means the price started with ; day 1: it became - day 2: it became In that case: (i,j) = (0,1) as we should buy at the first day, and sell after the third day # return the values return (0,0,0) # Try vour alaorithmCreate a more efficient HeapVector that just keeps its values in order when necessary: When values are added to the heap, they are appended to the end of the existing heap and the nonHeap flag is set to true. When values are removed, the nonHeap flag is checked, and the Vector, if necessary, is heapified. What are the worst-case and best-case add and delete operation times?