Java Methods A & AB Object-Oriented Programming and Data Structures Maria Litvin ● Gary Litvin Copyright © 2006 by Maria Litvin, Gary Litvin, and Skylight.

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Presentation transcript:

Java Methods A & AB Object-Oriented Programming and Data Structures Maria Litvin ● Gary Litvin Copyright © 2006 by Maria Litvin, Gary Litvin, and Skylight Publishing. All rights reserved. Heaps and Priority Queues 2 HC RE A5 TP

25-2 Objectives: Learn about heaps Review the java.util.PriorityQueue class Learn about Heapsort

25-3 Priority Queues A priority queue is a data structure for temporary storage that delivers the stored items in order of their priority: an item with higher priority is delivered first. The objects in a priority queue are Comparable (or a comparator is provided). According to convention, the smaller item has higher priority.

25-4 Possible Implementations A sorted list: items are stored in order of priority remove and peek are O(1), but add is O(n). An unsorted list: items are stored in order of their arrival add is O(1) but remove and peek are O(n). Either way, one of the methods creates a bottleneck.

25-5 Heaps A heap is a particular kind of a binary tree. Heaps provide a way to implement priority queues in such a way that both add and remove take O(log n) time. A heap can be stored in an array (or in an ArrayList).

25-6 Full and Complete Binary Trees Full tree: all levels are filled; a full tree with h levels holds 2 h - 1 nodes. Complete tree: all levels are filled, except perhaps the bottom one

25-7 Complete Trees Nodes can be numbered in level-by-level order: The parent of the i-th node is the node i / 2 The left child of the i-th node is the node 2*i and the right child is the node 2*i + 1

25-8 Complete Trees (cont’d) It is convenient to store a complete binary tree in an array in the order of nodes, starting at index 1:

25-9 Heaps (cont’d) A (min) heap is a complete binary tree The value in each node does not exceed any of the values in that node’s left and right subtrees. In a heap, the root holds the smallest value. 3 / \ 12 8 / \ / \ / \ 12 8 A heap:Not a heap:

25-10 Heaps (cont’d) The algorithm for add uses the reheap-up procedure. The algorithm for remove uses the reheap-down procedure. Either adding or removing an item takes O(log n) time. Remove the root and place the last leaf at the root. Starting at the root, swap the node with its smaller child, as many times as needed to repair the heap. Add a leaf. Starting at the last leaf, swap the node with its parent as many times as needed to repair the heap.

25-11 The add Algorithm Step 1: the new value is added as the rightmost leaf at the bottom level, keeping the tree complete Step 2: “reheap up”: the new value keeps swapping places with its parent until it falls into place

25-12 The remove Algorithm Step 1: the root is removed Step 2: the rightmost leaf from the bottom level replaces the root Step 3: “reheap down”: the new root value keeps swapping places with its smaller child until it falls into place

25-13 boolean isEmpty (); void add (E obj); E remove (); E peek (); java.util.PriorityQueue Implements java.util.Queue with methods: The implementation is a heap. add and remove are O(log n); peek is O(1).

25-14 Heapsort A relatively fast algorithm for sorting  Place all values into a heap  Remove values one by one (they come out in ascending order) and add them to the output list Heapsort can be implemented in the same array, without a temporary heap: 1. Rearrange the values to make a max-heap 2. Rearrange the values again to get a sorted array The running time is O(n log n).

25-15 Review: What is a priority queue? What is wrong with implementing a priority queue as a sorted list? What is a complete binary tree? If a complete tree is stored in an array with the first node in items [1], where can we find the parent of the 5-th node? Its left and right children?

25-16 Review (cont’d): What is a heap? Describe the main steps in the algorithm for removing the smallest value from a heap. Describe the main steps in the algorithm for adding a value to a heap. What is the main idea of Heapsort?