Object Oriented Programming And Data Structures Pdf

  • and pdf
  • Sunday, May 9, 2021 6:02:29 AM
  • 4 comment
object oriented programming and data structures pdf

File Name: object oriented programming and data structures .zip
Size: 2863Kb
Published: 09.05.2021

JavaScript seems to be disabled in your browser.

Object Oriented Programming and Data Structures - EC6301

No part of the material protected by this copyright may be reproduced or utilized in any form, electronic or mechani-. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise. All trademarks displayed are the trademarks of the parties noted herein. Object-Oriented Data. Structures Using Java, Fourth Edition is an independent publication and has not been authorized, sponsored, or otherwise approved by the.

Cella Cover Design: Kristin E. Joyce, Daniel T. Weems, Chip. Joyce, Chip Weems. Description: Fourth edition. D35 DDC This book pres- ents the algorithmic, programming, and structuring techniques of a traditional data structures course in an object-oriented context. We stress software engineering principles throughout, including modularization, information hiding, data abstraction, stepwise refinement, the use of visual aids, the analysis of algorithms, and software verification methods.

To the Student You know that an algorithm is a sequence of unambiguous instructions for solving a problem. Algorithms describe actions.

These actions manipulate data. For most interesting problems that are solved using computers, the structure of the data is just as important as the structure of the algorithms used to manipulate the data. Using this text you will discover that the way you structure data affects how efficiently you can use the data; you will see how the nature of the problem you are attempting to solve dictates your structuring decisions; and you will learn about the data structures that computer scientists have developed over the years to help solve problems.

Our primary goal is to present both the traditional and modern data structure topics with an emphasis on problem solving and software design. Using the Java programming language as a vehicle for problem solutions, however, presents an opportunity for students to expand their.

As our data structure coverage unfolds, we introduce and use the appropriate Java constructs that support our primary goal. Starting early and continuing throughout the text, we introduce and expand on the use of many Java features such as classes, objects, generics, polymorphism, packages, interfaces, library classes, inheritance, exceptions, and threads.

We also use Universal Modeling Language UML class diagrams throughout to help model and visualize our objects, classes, interfaces, applications, and their interrelationships.

Features Data Abstraction In this text we view our data structures from three different perspectives:. The specification describes the logical or abstract level— what the logical relationships among the data elements are and what operations can be performed on the structure.

The application level, sometimes called the client level, is concerned with how the data structure is used to solve a problem— why the operations do what they do. The implementation level involves the coding details— how the structures and operations are implemented. In other words we treat our data structures as abstract data types ADTs.

Efficiency Analysis In Chapter 1 we introduce order of growth efficiency analysis using a unique. Time and space analysis is consistently applied throughout the text, allowing us to compare and contrast data structure implementations and the applications that use them. Recursion Treatment Recursion is introduced early Chapter 3 and used throughout the re-. We present a design and analysis approach to recursion based on answering three simple questions. Answering the questions, which are based on formal inductive reasoning, leads the programmer to a solid recursive design and program.

Interesting Applications Eight primary data structures stacks, queues, collections, indexed. Applications involve, for example, balanced expressions, postfix expressions, image generation new! Robust Exercises We average more than 40 exercises per chapter. The exercises are organized by. In this edition we have streamlined the previous exercises, allowing us to add even more options for you to choose from.

In particular we have added several larger programming exercises to many of the chapters. However, to support those teachers and students who prefer to work with graphi- cal user interfaces GUIs , we provide GUIs for many of our applications. Our modular approach to program design supports this approach—our applications separate the user interface code, problem solution code, and ADT implementation code into separate classes.

We are pleased to be one of the only data structures texts to address the topics of concurrency and synchronization, which are growing in importance as computer systems move to using more cores and threads to obtain additional performance with each new generation.

We introduce this topic in Section 4. We believe this new edition is a great improvement over previous editions and hope you do, too.

Major changes include:. The Collection ADT material introduces the idea of a data structure as a repository and concentrates on storage and retrieval of data based on key attri- butes. The Map ADT has become increasingly important with the rise in popularity of scripting languages with built-in associative arrays. New Section: Section 1. These new sections provide practical examples of the use of recursion, before the reader moves on to the less practical but nevertheless popular Towers of Hanoi example covered in Section 3.

New Section: Fractals! A fun section related to recursively generating fractal-based. In the primary exposition of each of these ADTs we record design decisions and specify the operations to be supported by the ADT. Throughout the text we highlight important terms that might be unfamiliar to the student in green , the first time they are featured, to indicate that their definition can be found in the glossary.

The Java exception handling mechanisms, used to organize response to unusual situations, are introduced. The chapter concludes with a look at efficiency analysis—how we evaluate and compare algorithms.

The concept of abstract data type ADT is introduced. The stack is viewed from three different levels: the abstract, application, and implementation. The Java interface mechanism is used to support this three-tiered view. We also investigate using generics to support generally usable ADTs. The Stack ADT is implemented using both arrays and references. To support the reference-based approach we introduce the linked list structure.

Sample applications include determining if a set of grouping symbols is well formed and the evaluation of postfix expressions. A simple three-question technique is introduced for verifying the correctness of re- cursive methods. Sample applications include array processing, linked list processing, the classic Towers of Hanoi, and fractal generation. A detailed discussion of how recursion works shows how recursion can be replaced with iteration and stacks.

It is also first considered from its abstract perspective,. Example applications include an interactive test driver, a palindrome checker, and simulating a system of real-world queues. A fundamental ADT, the Collection, supports storing. Approaches for comparing objects for equality and order are reviewed. Collection implementations using an array, a sorted array, and a linked list are developed. A text processing application permits comparison of the imple- mentation approaches for efficiency.

In fact, the follow ing. Iteration is introduced here and the use of anonymous inner classes to provide iterators is presented. As with the Collection ADT we develop array, sorted array, and linked-list—based implementations. Applications include a card deck model plus some card games, and a Big Integer class. This latter application demonstrates how we sometimes design specialized ADTs for specific problems.

It requires most of the chapter just to. The chapter also discusses trees in general including breadth-first and depth-first searching and the problem of balancing a binary search tree. Two implementations are developed, one that uses an ArrayList and the other that uses a hash table. A large part of the chapter is devoted to this latter implementation and the important concept of hashing, which provides a very efficient implementation of a Map. This short chapter does present a sorted array-based implementa- tion, but most of the chapter focuses on a clever, interesting, and very efficient implementation called a Heap.

The graph algorithms make use of stacks, queues, and priority queues, thus both reinforcing earlier material and demonstrating the general us- ability of these structures.

The sorting algo- rithms are compared using efficiency analysis. The discussion of algorithm analysis continues in the context of searching.

Previously presented searching algorithms are reviewed and new ones are described. Organization Chapter Goals Sets of knowledge and skill goals are presented at the beginning of each chapter to help the students assess what they have learned. Sample Programs Numerous sample programs and program segments illustrate the abstract concepts throughout the text.

Feature Sections Throughout the text these short sections highlight topics that are not directly part of the flow of material but nevertheless are related and important. Boxed Notes These small boxes of information scattered throughout the text highlight, supple- ment, and reinforce the text material, perhaps from a slightly different point of view.

Chapter Summaries Each chapter concludes with a summary section that reviews the most im-. Some chapter summaries include a UML diagram of the major interfaces and classes developed within the chapter. Appendices The appendices summarize the Java reserved word set, operator precedence, primitive data types, the ASCII subset of Unicode, and provide a glossary of important terms used in the text.

Please contact the authors if you have material related to the text that you would like to share with others. Doughty Jr. William Cupp at Indiana Wesleyan University for specific comments leading to improvements in the text. A virtual bouquet of roses to the editorial and production teams who contributed so much, especially Laura Pagluica, Taylor Ferracane, Amy Rose, and Palaniappan Meyyappan.

You should be able to interpret a basic UML class diagram design and implement a Java class create a Java application that uses the Java class use packages to organize Java compilation units create a Java exception class throw Java exceptions from within a class and catch them within an application that uses the class predict the output of short segments of Java code that exhibit aliasing declare, initialize, and use one- and two-dimensional arrays in Java, including both arrays of a primitive type and arrays of objects given an algorithm, identify an appropriate size representation and determine its order of growth given a section of code determine its order of growth.

A careful study of the topics. As a beginning student.

Object-Oriented Programming & Data Structures (CS-201) Lab Manual Prepared by

You all must have this kind of questions in your mind. Below article will solve this puzzle of yours. Just take a look. Question Papers. Question Banks.

Object-Oriented Programming & Data Structures (CS-201) Lab Manual Prepared by

No part of the material protected by this copyright may be reproduced or utilized in any form, electronic or mechani-. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise. All trademarks displayed are the trademarks of the parties noted herein. Object-Oriented Data.

Object Oriented Data Structures Using Java 4th Edition pdf pdf

CS centers on the twice-weekly lectures. Attendance is required. We may have in-class quizzes without prior notice.

Object-Oriented Data Structures

Шесть секунд. - Утечка информации. - Никаких изменений. Внезапно Мидж судорожно указала на экран. - Смотрите.

Сьюзан двигалась как во сне.

Молчание. Тогда она осторожно двинулась в направлении Третьего узла. Подойдя поближе, она увидела, что в руке Хейла зажат какой-то предмет, посверкивавший в свете мониторов.

Были другие люди. Празднично одетые испанцы выходили из дверей и ворот на улицу, оживленно разговаривая и смеясь. Халохот, спустившись вниз по улочке, смачно выругался. Сначала от Беккера его отделяла лишь одна супружеская пара, и он надеялся, что они куда-нибудь свернут. Но колокольный звон растекался по улочке, призывая людей выйти из своих домов.

 Меня зовут Дэвид Беккер.


  1. Jennifer H. 10.05.2021 at 22:27

    To browse Academia.

  2. Dewinguirer1997 15.05.2021 at 13:51


  3. Zenobia A. 18.05.2021 at 06:48

    It seems that you're in Germany.

  4. Elvis V. 18.05.2021 at 16:20

    This book presents readers with a modern, object-oriented perspective for looking at data structures and algorithms, clearly showing how to use polymorphism and inheritance, and including fragments from working and tested programs.