This exciting new data structures book provides students with powerful procedural programming skills that will serve as a solid foundation for later object-oriented programming. Throughout the book, Eric Roberts takes a library-based approach to the concepts, which allows readers to see more advanced programs early on. This innovative use of libraries will motivate students as they begin tackling more advanced data structures topics. In the first section of the book, Roberts brings readers up-to-speed on libraries and also provides a nice review of C. Eric Roberts is famous for his wonderful writing style, his use of real-world examples, and his special "bug features."
Sprache
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Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Maße
Höhe: 233 mm
Breite: 186 mm
Dicke: 36 mm
Gewicht
ISBN-13
978-0-201-54541-8 (9780201545418)
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Schweitzer Klassifikation
Eric S. Roberts is a Professor of Computer Science at Stanford University and the department's Associate Chair for Educational Affairs. He is also the Charles Simonyi Professor for Innovation in Teaching. After receiving his Ph.D. in Applied Mathematics from Harvard University in 1980, Dr. Roberts founded and chaired the computer science department at Wellesley College. He then worked for five years as a researcher for Digital Equipment Corporation's Systems Research Center in Palo Alto, California. Dr. Roberts is also the author of The Art and Science of C, published by Addison-Wesley in 1995.
0201545411AB04062001
I. PRELIMINARIES.
An Overview of Ansi C.
What is C?
The Structure of a C Program.
Variables, Values, and Types.
Expressions.
Statements.
Functions.
Data Types in C.
Enumeration Types.
Data and Memory.
Pointers.
Arrays.
Pointers and Arrays.
Records.
Dynamic Allocation.
Libraries and Interfaces.
The Concept of an Interface.
Random Numbers.
Strings.
The Standard I/O Library.
Other ANSI Libraries.
II. RECURSION AND ALGORITHMIC ANALYSIS.
Introduction to Recursion.
A Simple Example of Recursion.
The Factorial Function.
The Fibonacci Function.
Other Examples of Recursion.
Thinking Recursively.
Recursive Procedures.
The Towers of Hanoi.
Generating Permutations.
Graphical Applications of Recursion.
Backtracing Algorithms.
Solving a Maze by Recursive Backtracking.
Backtracking and Games.
Analysis of Algorithms.
The Sorting Problem.
Computational Complexity and Big-O Notation.
Recursion to the Rescue.
Standard Complexity Classes.
The Quicksort Algorithm.
Mathematical Induction.
III. DATA ABSTRACTION.
Abstract Data Types.
Stacks.
Defining a Stack ADT.
Using Stacks in an Application.
Implementing the Stack Abstraction.
Defining a Scanner ADT.
Efficiency and ADTs.
The Concept of an Editor Buffer.
Defining the Buffer Abstraction.
Implementing the Editor Using Arrays.
Implementing the Editor Using Stacks.
Implementing the Editor Using Linked Lists.
Linear Structures: Stacks and Queues.
Stacks Revisited.
Queues.
Simulations Involving Queues.
Symbol Tables.
Designing the Symbol Table Interface.
Hash Tables.
Using Functions as Data.
Mapping Functions.
Iterators.
Command Dispatch Tables.
IV. RECURSIVE DATA.
Recursive Lists.
The Recursive Formulation of a List.
Defining a List Abstraction.
Generalized List Structure.
Trees.
Family Trees.
Binary Search Trees.
Balanced Trees.
Defining a General Interface for Binary Search Trees.
Expression Trees.
Overview of the Interpreter.
Understanding the Abstract Structure of Expressions.
Representing Expressions as a Concrete Type.
Parsing an Expression.
Evaluating an Expression.
Sets.
Sets as a Mathematical Abstraction.
Designing a Set Interface.
Implementing the Set Package.
Designing a Polymorphic Iterator.
Enhancing the Efficiency of Integer Sets.
Graphs.
The Structure of a Graph.
A Standalone Interface for Graphs.
Implementation Strategies for Graphs.
A Set-Based Interface for Graphs.
Graph Traversals.
Finding Minimum Paths.
Looking Ahead.
The Concept of Object-Oriented Programming.
A Brief Tour of the Java Programming Language.
Interactive Programming. 0201545411T04062001
