Introduction to Java Programming and Data Structures, Comprehensive Version (11th Edition)
Introduction to Java Programming and Data Structures, Comprehensive Version (11th Edition)
11th Edition
ISBN: 9780134670942
Author: Y. Daniel Liang
Publisher: PEARSON
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Chapter 23.6, Problem 23.6.4CP
Program Plan Intro

Complete binary tree:

  • A binary tree is said to be a complete if every level of the tree are full except the last level.
  • The last level need not be full and all the leaves on the last level are placed left most.

Heap:

  • A heap is considered to be binary tree if it has following properties
    • When it is complete binary tree.
    • Every node is greater than or equal to its children.

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1. Heap and Heapsort. (a) Run Build-Heap on the array [10, 9,4,7,6,2,3,1, 8,5] to construct a min heap. Write down the resulting array. Then, run the loop in Heapsort for three iterations. For each iteration write down the array after Heapify-Down is finished. You do not need to show intermediate steps. (b) Show that the leaves of a heap occupy the positions [],...,n-1 of the array. (c) In the procedure Build-Heap, why do we decrease i from [2]-1 to 0 instead of increasing from 0 to [2]-1? Give an example array where increasing i fails to create a valid min heap.
for the following sequence of keys, do the following:   MBX, EXB, GBX,…,  ABX, AXB,…, QXB, YXB, … . 3. Build a max- Heap showing all steps in details.
Given the list {3, 6, 9, 4, 2, 1, 5} a. Show the list after heap constuction, in heap sort. b. Show the list after each pass of heapSort. (You should draw six diagrams.)
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