Introduction to Corporate Finance, Canadian

Because students are motivated to learn finance if they are shown how it is relevant to their world, each chapter of Introduction to Corporate Finance is written with engaging examples and a wealth of detail. In addition, the following features are also included: * Finance in the News: Each chapter includes an article or item from the financial press that is integrated into the main discussion of the chapter, to help students draw the connection between theory and application. * Ethics and Corporate Governance: Found at the end of each part in the text, this feature includes an item relating to ethics and corporate governance and how these issues affect corporations today. These items are accompanied by questions to help launch in-class analysis and discussion * Financial Calculator Keystrokes: All relevant demonstration problems include actual keystrokes for the TI BAII calculator. * Excel Spreadsheet Commands: All relevant demonstration problems include Excel spreadsheet commands. Because students cannot learn finance unless they practice homework problems, Introduction to Corporate Finance comes complete with WileyPLUS--a powerful online tool that includes an electronic version of the text. WileyPLUS provides the technology to create an environment where students reach their full potential and experience academic success that will last them a lifetime! Instructors are provided with a wealth of resources, including presentation and preparation tools, easy-to-navigate assignment and assessment tools, and a complete system to enable them to administer and manage their course exactly as they wish.

Professor Pamela Peterson Drake, Ph.D. CFA, is the J. Gray Ferguson Professor of Finance and Department Head, Department of Finance and Business Law in the College of Business at James Madison University. She received her Ph.D. in finance from the University of North Carolina at Chapel Hill and her B.S. in Accountancy from Miami University. Professor Drake previously taught at Florida State University and Florida Atlantic University.

Abstract Data Types 1
Introduction	p. 1
Abstractions	p. 2
Abstract Data Types	p. 4
Data Structures	p. 5
The Date ADT	p. 6
Preconditions and Postconditions	p. 8
Using the ADT	p. 8
Implementing the ADT	p. 8
The Bag ADT	p. 14
Using the ADT	p. 15
Selecting a Data Structure	p. 16
The Class Definition	p. 18
Iterators	p. 19
The Set ADT	p. 22
Using the ADT	p. 24
Implementing the ADT	p. 25
The Map ADT	p. 28
Defining the ADT	p. 29
Implementing the Map ADT	p. 30
Alternate Implementation	p. 33
Application: Histograms	p. 35
Building a Histogram	p. 37
Implementing the Histogram ADT	p. 37
Programming Problems	p. 40
Arrays and Vectors 43
The Array Structure	p. 43
Simulating an Array	p. 44
The Array ADT	p. 45
Implementing the ADT	p. 46
The Python List (Vector)	p. 47
MultiâÇôDimensional Arrays	p. 54
The MultiArray ADT	p. 54
Data Organization	p. 55
Variable Length Arguments	p. 59
MultiArray Implementation	p. 60
The Matrix ADT	p. 64
Matrix Operations	p. 65
Implementing the ADT	p. 67
Application: The Game of Life	p. 69
Rules of the Game	p. 70
Designing a Solution	p. 72
ADT Implementation	p. 74
Exercises	p. 77
Programming Problems	p. 78
Algorithm Analysis 81
Complexity Analysis	p. 82
BigâÇôO Notation	p. 83
Classes of Algorithms	p. 87
Empirical Analysis	p. 88
Evaluating ADT Implementations	p. 88
Evaluating the Python List	p. 89
Evaluating the Set ADT	p. 91
Searching	p. 92
Linear Search	p. 92
Binary Search	p. 95
Working with Ordered Lists	p. 99
Building An Ordered List	p. 99
Merging Ordered Lists	p. 100
The Set ADT Revisited	p. 106
Application: The Sparse Matrix	p. 112
Implementation	p. 112
Analysis	p. 116
Exercises	p. 118
Programming Problems	p. 120
The Linked List 123
A Linked Structure	p. 124
The SinglyâÇôLinked List	p. 124
Basic Operations	p. 124
Evaluating the Linked List	p. 124
The Bag ADT Revisited	p. 124
Implementation Details	p. 124
Linked List Iterator	p. 124
Using a Tail Pointer	p. 124
The Ordered Linked List	p. 124
The Sparse Matrix Revisited	p. 124
The New Implementation	p. 124
Comparing Implementations	p. 124
Application: Polynomials	p. 124
Polynomial Operations	p. 124
The Polynomial ADT	p. 124
ADT Implementation	p. 124
Exercises	p. 124
Programming Problems	p. 124
Advanced Linked Lists 125
DoublyâÇôLinked List	p. 126
Organization	p. 126
List Operations	p. 126
Circular Linked List	p. 126
Organization	p. 126
List Operations	p. 126
MultiâÇôLinked Lists	p. 126
Multiple Chains	p. 126
The Sparse Matrix	p. 126
Complex Iterators	p. 126
Application: Text Editor	p. 126
Typical Editor Operations	p. 126
The Edit Buffer ADT	p. 126
Implementing the ADT	p. 126
Exercises	p. 126
Programming Problems	p. 126
Stacks 127
The Stack ADT	p. 128
Implementing the Stack	p. 128
Vector Based	p. 128
Linked List Version	p. 128
Stack Applications	p. 128
Balanced Delimiters	p. 128
Evaluating Postfix Expressions	p. 128
Application: Solving a Maze	p. 128
Backtracking	p. 128
Designing a Solution	p. 128
The Maze ADT	p. 128
ADT Implementation	p. 128
Exercises	p. 128
Programming Problems	p. 128
Queues 129
The Queue ADT	p. 129
Implementing the Queue	p. 129
Vector Based	p. 129
Circular Array	p. 129
Linked List Version	p. 129
The Priority Queue	p. 129
Application: Computer Simulations	p. 129
Airline Ticket Counter	p. 129
Class Specifications	p. 129
Exercises	p. 129
Programming Problems	p. 129
Hash Tables 131
Introduction	p. 131
Hash Functions	p. 131
Open Addressing	p. 131
Linear Probing	p. 131
Collision Resolution	p. 131
Bucket Hashing	p. 131
Hashing Efficiency	p. 131
The Map ADT Revisited	p. 131
Application: The Color Histogram	p. 131
Exercises	p. 131
Programming Problems	p. 131
Recursion 133
Recursive Functions	p. 133
Properties of Recursion	p. 133
Classic Example: The Factorial Function	p. 133
Greatest Common Divisor	p. 133
Recursion and Stacks	p. 133
The Towers of Hanoi	p. 133
Backtracking Revisited	p. 133
The EightâÇôQueens Problem	p. 133
Solving the FourâÇôQueens	p. 133
Recursive Solution	p. 133
Application: Sudoku Puzzles	p. 133
Exercises	p. 133
Programming Problems	p. 133
Binary Trees and Heaps 135
Tree Structure	p. 135
The Binary Tree	p. 135
Traversals	p. 135
Arithmetic Expresssions	p. 135
Tree Threading	p. 135
Heaps	p. 135
Insertions	p. 135
Removals	p. 135
Evaluating the Heap	p. 135
The Priority Queue Revisited	p. 135
Application: Morse Code	p. 135
Exercises	p. 135
Programming Problems	p. 135
Advanced Search Trees 137
The Binary Search Tree	p. 138
Searching	p. 138
Insertions	p. 138
Deletions	p. 138
Evaluating the BST	p. 138
AVL Trees	p. 138
Insertions	p. 138
Deletions	p. 138
Evaluating the AVL Tree	p. 138
2âÇô3 Trees	p. 138
Splay Trees	p. 138
Application: Improved Map ADT	p. 138
Exercises	p. 138
Programming Problems	p. 138
Sorting Algorithms 139
The Simple Algorithms	p. 140
Bubble Sort	p. 140
Selection Sort	p. 140
Insertion Sort	p. 140
Radix Sort	p. 140
Basic Algorithm	p. 140
Bucket Sorting	p. 140
Divide and Conquer	p. 140
Merge Sort	p. 140
Quick Sort	p. 140
Heap Sort	p. 140
Application: Empirical Analysis	p. 140
Exercises	p. 140
Programming Problems	p. 140
Python Review	p. 141
Basic Concepts	p. 141
Functions	p. 141
Sequence Types	p. 141
Classes	p. 141
Copying Objects	p. 141
Exceptions	p. 141
ObjectâÇôOriented Programming 143
Introduction	p. 143
Encapsulation	p. 143
Inheritance	p. 143
Polymorphism	p. 143
Table of Contents provided by Publisher. All Rights Reserved.

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Introduction to Corporate Finance, Canadian Edition

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