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Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package, net.datastructures. Author: Michael T. Publisher: John Wiley & Sons. Category: Computers. If you are looking for a book Solution manual for robert lafore data structures in pdf format, in that case you come on to faithful site. We presented complete version of this ebook in txt, DjVu, PDF, ePub, doc formats. You can read Solution manual for robert lafore data structures online or downloading. In addition to this ebook, on our website you can.

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  • By Robert Lafore
  • Published Nov 6, 2002 by Sams.

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    This eBook requires no passwords or activation to read. We customize your eBook by discreetly watermarking it with your name, making it uniquely yours.

About

Features

  • Updated to improve clarity and performance, and reflect Sun's latest Java 2 platform releases.
  • New questions and exercises at the end of every chapter.

    • Helps students review the material and confirm that they understand it in detail.

  • Simple, thorough, example rich coverage of Java data structures and algorithms—Covers arrays, stacks, queues, sorts, linked lists, recursion, binary trees, red-black trees, 2-3-4 trees, external storage, hash tables, heaps, weighted graphs, and more.

    • Illuminates all the algorithms and data structures students will need to manipulate any kind of data with Java.

  • Browser-based “Workshop Applet” tool visualises algorithms and data structures—Simple browser-based software shows students how data structures and algorithms look and work.

    • Brings algorithms and data structures to life, making them easier than ever for students to understand.

Description

  • Copyright 2003
  • Dimensions: 7-3/8' x 9-1/8'
  • Pages: 800
  • Edition: 2nd
  • Book
  • ISBN-10: 0-672-32453-9
  • ISBN-13: 978-0-672-32453-6

Data Structures and Algorithms in Java, Second Edition is designed to be easy to read and understand although the topic itself is complicated. Algorithms are the procedures that software programs use to manipulate data structures. Besides clear and simple example programs, the author includes a workshop as a small demonstration program executable on a Web browser. The programs demonstrate in graphical form what data structures look like and how they operate. In the second edition, the program is rewritten to improve operation and clarify the algorithms, the example programs are revised to work with the latest version of the Java JDK, and questions and exercises will be added at the end of each chapter making the book even more useful.

Educational Supplement

Suggested solutions to the programming projects found at the end of each chapter are made available to instructors at recognized educational institutions. This educational supplement can be found at www.prenhall.com, in the Instructor Resource Center.

Downloads

Downloads

Source and executable code for the example programs in the text - 184 kb -- ExamplePrograms.ZIP
The applets that graphically demonstrate common data structures and algorithms - 209 kb -- WorkshopApplets.ZIP

Sample Content

Online Sample Chapters

Table of Contents


Introduction.

What's New in the Second Edition. What This Book Is About. What's Different About This Book. Who This Book Is For. What You Need to Know Before You Read This Book. The Software You Need to Use This Book. How This Book Is Organized. Enjoy Yourself!


1. Overview.

Robert Lafore Data Structures Pdf Viewer

What Are Data Structures and Algorithms Good For? Overview of Data Structures. Overview of Algorithms. Some Definitions. Object-Oriented Programming. Software Engineering. Java for C++ Programmers. Java Library Data Structures. Summary. Questions.


2. Arrays.

The Array Workshop Applet. The Basics of Arrays in Java. Dividing a Program into Classes. Class Interfaces. The Ordered Workshop Applet. Java Code for an Ordered Array. Logarithms. Storing Objects. Big O Notation. Whay Not Use Arrays for Everything. Summary. Questions. Experiments. Programming Projects.

LaforeRobert Lafore Data Structures Pdf
3. Simple Sorting.

How Would You Do It. Bubble Sort. Selection Sort. Insertion Sort. Sorting Objects. Comparing the Simple Sorts. Summary. Questions. Experiments. Programming Projects.


4. Stacks and Queues.

A Different Kind of Structure. Stacks. Queues. Priority Queues. Parsing Arithmetic Expressions. Summary. Questions. Experiments. Programming Projects.


5. Linked Lists.

Links. The LinkList Workshop Applet. A Simple Linked List. Finding and Deleting Specified Links. Double-Ended Lists. Linked-List Efficiency. Abstract Data Types. Sorted Lists. Doubly Linked Lists. Iterators. Summary. Questions. Experiments. Programming Projects.


6. Recursion.

Triangular Numbers. Factorials. Anagrams. A Recursive Binary Search. The Towers of Hanoi. Mergesort. Eliminating Recursion. Some Interesting Recursive Applications. Summary. Questions. Experiments. Programming Projects.


7. Advanced Sorting.

Shellsort. Paartitioning. Quicksort. Radix Sort. Summary. Questions. Experiments. Programming Projects.


8. Binary Trees.

Why Use Binary Trees? Tree Terminology. An Analogy. How Do Binary Search Trees Work. Finding a Node. Inserting a Node. Traversing the Tree. Finding Maximum and Minimum Values. Deleting a Node. The Efficiency of Binary Trees. Trees Represented as Arrays. Duplicate Keys. The Complete tree.java Program. The Huffman Code. Summary. Questions. Experiments. Programming Projects.


9. Red-Black Trees.

Our Approach to the Discussion. Balanced and Unbalanced Trees. Using the RBTree Workshop Applet. Experimenting with the Workshop Applet. Rotations. Inserting a New Node. Deletion. The Efficiency of Red-Black Trees. Red-Black Tree Implementation. Other Balanced Trees. Summary. Questions. Experiments.


10. 2-3-4 Trees and External Storage.

Introduction to 2-3-4 Trees. The Tree234 Workshop Applet. Java Code for a 2-3-4 Tree. 2-3-4 Trees and Red-Black Trees. Efficiency of 2-3-4 Trees. 2-3 Trees. External Storage. Summary. Questions. Experiments. Programming Projects.

StructuresRobert Lafore Data Structures Pdf
11. Hash Tables.

Introduction to Hashing. Open Addressing. Separate Chaining. Hash Functions. Hashing Efficiency. Hashing and External Storage. Summary. Questions. Experiments. Programming Projects.


12. Heaps.

Introduction to Heaps. The Heap Workshop Applet. Java Code fo Heaps. A Tree-based Heap. Heapsort. Summary. Questions. Experiments. Programming Projects.


13. Graphs.

Introduction to Graphs. Searches. Minimum Spanning Trees. Topological Sorting with Directed Graphs. Connectivity in Directed Graphs. Summary. Questions. Experiments. Programming Projects.


14. Weighted Graphs.

Minimum Spanning Tree with Weighted Graphs. The Shortest-Path Problem. The All-Pairs Shortest-Path Problem. Efficiency. Intractable Problems. Summary. Questions. Experiments. Programming Projects.


15. When to Use What.

General-Purpose Data Structures. Special-Purpose Data Structures. Sorting. Graphs. External Storage. Onward.


Appendix A. Running the Workshop Applets and Example Programs.

The Workshop Applets. The Example Programs. The Sun Microsystem's Software Development Kit. Multiple Class Files. Other Development Systems.


Appendix B. Further Reading.

Robert Lafore Data Structures Pdf Download

Data Structures and Algorithms. Object-Oriented Programming Languages. Object-Oriented Design (OOD) and Software Engineering.


Appendix C. Answers to Questions.

Chapter 1, Overview. Chapter 2, Arrays. Chapter 3, Simple Sorting. Chapter 4, Stacks and Queues. Chapter 5, Linked Lists. Chapter 6, Recursion. Chapter 7, Advanced Sorting. Chapter 8, Binary Trees. Chapter 9, Red-Black Trees. Chapter 10, 2-3-4 Trees and External Storage. Hash Tables. Heaps. Graphs. Weighted Graphs.


Index.

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Robert Lafore Data Structures And Algorithms In Java Pdf

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Robert Lafore Data Structures Pdf Examples

Using the Java programming language, author Adam Drozdek highlights three important aspects of data structures and algorithms. First, the book places special emphasis on the connection between data structures and their algorithms, including an analysis of the algorithms' complexity. Second, the book presents data structures in the context of object-oriented program design, stressing the principle of information hiding in its treatment of encapsulation and decomposition. Finally, the book closely examines data structure implementation. Overall, this practical and theoretical book prepares students with a solid foundation in data structures for future courses and work in design implementation, testing, or maintenance of virtually any software system. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.