Data Structures and Problem Solving Using Java / Edition 2

Data Structures and Problem Solving Using Java / Edition 2

5.0 1
by Mark Weiss
     
 

ISBN-10: 0201748355

ISBN-13: 9780201748352

Pub. Date: 08/01/1901

Publisher: Addison Wesley

B> Data Structures and Problem Solving Using Java, Second Edition, provides a practical introduction to data structures and algorithms from the perspective of abstract thinking and problem solving, as well as the use of Java. Experienced author and educator Mark Allen Weiss takes a unique approach by clearly separating the specification and

Overview

B> Data Structures and Problem Solving Using Java, Second Edition, provides a practical introduction to data structures and algorithms from the perspective of abstract thinking and problem solving, as well as the use of Java. Experienced author and educator Mark Allen Weiss takes a unique approach by clearly separating the specification and implementation of data structures. He presents the interface and running time of data structures in Part II of the book. Then, he provides the opportunity for readers to use the data structures in a variety of practical examples before introducing the implementations in Part IV. By first gaining a familiarity with the interfaces and uses of data structures, readers will be able to think more abstractly about the subject matter. New utilization of the Java 1.2 Collections API frees the second edition from relying upon a non-standard, book-dependent data structures package. The new edition also features new coverage of Design Patterns and significantly revised material of inheritance. This book is appropriate for readers who are familiar with basic Java programming concepts or are new to the language and want to learn how it treats data structures concepts.

Product Details

ISBN-13:
9780201748352
Publisher:
Addison Wesley
Publication date:
08/01/1901
Edition description:
Older Edition
Pages:
928
Product dimensions:
7.56(w) x 9.52(h) x 1.52(d)

Table of Contents

(Each Chapter concludes with a “Summary,” “Objects of the Game,” “Common Error,” “On the Internet,” “Exercises,” and “References.” ).

I. TOUR OF JAVA.

1. Primitive Java.
The General Environment.
The First Program.
Primitive Types.
Basic Operators.
Conditional Statements.
Methods.

2. Reference Types.
What Is a Reference.
Basics of Objects and References.
Strings.
Arrays.
Exception Handling.
Input and Output.

3. Objects and Classes.
What Is Object-oriented Programming?
A Simple Example.
Javadoc.
Basic Methods.
Additional Constructs.
Packages.
A Design Pattern: Composite (Pair).

4. Inheritance.
What Is Inheritance?
Designing Hierarchies.
Multiple Inheritance.
The Interface.
Fundamental Inheritance in Java.
Implementing Generic Components.
The Functor (Function Objects).
Dynamic Binding Details.

II. ALGORITHMS AND BUILDING BLOCKS.

5. Algorithm Analysis.
What Is Algorithm Analysis?
Examples of Algorithm Running Times.
The Maximum Contiguous Subsequence Sum Problem.
General Big-Oh Rules.
The Logarithm.
Static Searching Problem.
Checking an Algorithm Analysis.
Limitations of Big-Oh Analysis.

6. The Collections API.
Introduction.
The Iterator Pattern.
Collections API: Containers and Iterators.
Generic Algorithms.
The List Interface.
Stacks and Queues.
Sets.
Maps.
Priority Queues.

7. Recursion.
What Is Recursion?
Background: Proofs by Mathematical Induction.
Basic Recursion.
Numerical Applications.
Divide-and-Conquer Algorithms.
Dynamic Programming.
Backtracking Algorithms.

8. Sorting Algorithms.
Why Is Sorting Important?
Preliminaries.
Analysis of the Insertion Sort and Other Simple Sorts.
Shellsort.
Mergesort.
Quicksort.
Quickselect.
A Lower Bound for Sorting.

9. Randomization.
Why Do We Need Random Numbers?
Random-number Generators.
Nonuniform Random Numbers.
Generating a Random Permutation.
Randomized Algorithms.
Randomized Primality Testing.

III. APPLICATIONS.

10. Fun and Games.
Word Search Puzzles.
The Game of Tic-Tac-Toe.

11. Stacks and Compilers.
Balanced-Symbol Checker.
A Simple Calculator.

12. Utilities.
File Compression.
A Cross-reference Generator.

13. Simulation.
The Josephus Problem.
Event-driven Simulation.

14. Graphs and Paths.
Definitions.
Unweighted Shortest-path Problem.
Positive-weighted, Shortest-path Problem.
Negative-weighted, Shortest-path Problem.
Path Problems in Acyclic Graphs.

IV. IMPLEMENTATIONS.

15. Inner Classes and ArrayList Implementation.
Iterators and Nested Classes.
Iterators and Inner Classes.
The AbstractCollection Class.
Implementation of ArrayList with an Iterator.

16. Stacks and Queues.
Dynamic Array Implementations.
Linked-list Implementations.
Comparison of the Two Methods.
The java.util.Stack Class.
Double-Ended Queues.

17. Linked Lists.
Basic Ideas.
Java Implementation.
Doubly Linked Lists and Circular Linked Lists.
Sorted Linked Lists.
Implementing the Collections API LinkedList Class.

18. Trees.
General Trees.
Binary Trees.
Recursion and Trees.
Tree Traversal: Iterator Classes.

19. Binary Search Trees.
Basic Ideas.
Order Statistics.
Analysis of Binary Search Tree Operations.
AVL Trees.
Red-Black Trees.
AA-Trees.
Implementing the Collections API TreeSet and TreeMap Classes.
B-Trees.

20. Hash Tables.
Basic Ideas.
Hash Function.
Linear Probing.
Quadratic Probing.
Separate Chaining Hashing.
Hash Tables Versus Binary Search Trees.
Hashing Applications.

21. A Priority Queue: The Binary Heap.
Basic Ideas.
Implementation of the Basic Operations.
The buildHeap Operation: Linear-Time Heap Construction.
Advanced Operations: decreaseKey and merge.
Internal Sorting: Heapsort.
External Sorting.

V. ADVANCED DATA STRUCTURES.

22. Splay Trees.
Self-Adjustment and Amortized Analysis.
The Basic Bottom-Up Splay Tree.
Basic Splay Tree Operations.
Analysis of Bottom-Up Splaying.
Top-Down Splay Trees.
Implementation of Top-Down Splay Trees.
Comparison of the Splay Tree with Other Search Trees.

23. Merging Priority Queues.
The Skew Heap.
The Pairing Heap.

24. The Disjoint Set Class.
Equivalence Relations.
Dynamic Equivalence and Two Applications.
The Quick-Find Algorithm.
The Quick-Union Algorithm.
Java Implementation.
Worst Case for Union-by-Rank and Path Compression.

APPENDICES.
A. Operators.
B. Graphical User Interfaces.

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Data Structures and Problem Solving Using Java 5 out of 5 based on 0 ratings. 1 reviews.
Guest More than 1 year ago
This book strikes an excellent balance between theory and practice in a subject which can get complex very easily. The first book I attempted to read on this subject was the 'art of computer programming' of Don Knuth but it was too intimidating. Then i went to Algorithm with Java of Bob sedgewick and though it was excellent, the author did not worry about the specific java details. Finally, I get this book and I could understand very well the theoretical aspects of the subject as well as several practical implementation in java which help to clarify many subtleties involved in the algorithms I strongly recommend this book to people that are practical oriented but at the same time want adquire a firm grasp of the subject