March 2013
Intermediate to advanced
748 pages
21h 42m
English
book
Data Structures and Algorithms in Python
by Michael T. Goodrich, Roberto Tamassia, Michael H. Goldwasser
Content preview from Data Structures and Algorithms in Python
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Chapter 9
Priority Queues
Contents
9.1 The Priority Queue Abstract Data Type
9.2 Implementing a Priority Queue
9.2.1 The Composition Design Pattern
9.2.2 Implementation with an Unsorted List
9.2.3 Implementation with a Sorted List
9.3.2 Implementing a Priority Queue with a Heap
9.3.3 Array-Based Representation of a Complete Binary Tree
9.3.4 Python Heap Implementation
9.3.5 Analysis of a Heap-Based Priority Queue
9.3.6 Bottom-Up Heap Construction 
9.4 Sorting with a Priority Queue
9.4.1 Selection-Sort and Insertion-Sort
9.1 The Priority Queue Abstract Data Type
9.1.1 Priorities
In Chapter 6, we introduced the queue ADT as a collection of objects that are added and removed according to the first-in, first-out (FIFO) principle. A company's customer call center embodies such a model in which waiting customers are told “calls will be answered in the order that they were received.” In that setting, a new call is added to the back of the queue, and each time a customer service representative becomes available, he or she is connected with the call that ...
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