Data Structures and Algorithms With Object-Oriented Design Patterns in Java

Covers the fundamentals of data structures and algorithms -- the basic elements from which large and complex software artifacts are built -- using Java programming language.

**Publication date**: 02 Aug 1999

**ISBN-10**:
0471346136

**ISBN-13**:
9780471346135

**Paperback**:
656 pages

**Views**: 49,658

Data Structures and Algorithms With Object-Oriented Design Patterns in Java

Covers the fundamentals of data structures and algorithms -- the basic elements from which large and complex software artifacts are built -- using Java programming language.

Book excerpts:

This book is about the fundamentals of data structures and algorithms -- the basic elements from which large and complex software artifacts are built. The target is to teach you to develop a solid understanding of a data structure, which requires three things.

First, you will learn how the information is arranged in the memory of the computer. Second, you will learn the algorithms for manipulating the information contained in the data structure. And third, you will learn the performance characteristics of the data structure so that when called upon to select a suitable data structure for a particular application, you will be able to make an appropriate decision.

This book also illustrates object-oriented design and it promotes the use of common, object-oriented design patterns. The algorithms and data structures in the book are presented in the Java programming language. Virtually all the data structures are presented in the context of a single class hierarchy. This commitment to a single design allows the programs presented in the later chapters to build upon the programs presented in the earlier chapters.

Reviews:

Amazon.com

:) "I would actually say that this is a very readable introductory treatment on data structures."

LTSN-ICS Book Review

:? "Unfortunately the approach will appeal more to lecturers who understand the material and enjoy cerebral ideas than to students who are trying to get to grips with the material and like to be given practical information."

This book is about the fundamentals of data structures and algorithms -- the basic elements from which large and complex software artifacts are built. The target is to teach you to develop a solid understanding of a data structure, which requires three things.

First, you will learn how the information is arranged in the memory of the computer. Second, you will learn the algorithms for manipulating the information contained in the data structure. And third, you will learn the performance characteristics of the data structure so that when called upon to select a suitable data structure for a particular application, you will be able to make an appropriate decision.

This book also illustrates object-oriented design and it promotes the use of common, object-oriented design patterns. The algorithms and data structures in the book are presented in the Java programming language. Virtually all the data structures are presented in the context of a single class hierarchy. This commitment to a single design allows the programs presented in the later chapters to build upon the programs presented in the earlier chapters.

Reviews:

Amazon.com

:) "I would actually say that this is a very readable introductory treatment on data structures."

LTSN-ICS Book Review

:? "Unfortunately the approach will appeal more to lecturers who understand the material and enjoy cerebral ideas than to students who are trying to get to grips with the material and like to be given practical information."

Tweet

About The Author(s)

No information is available for this author.

Book Categories

Computer Science
Introduction to Computer Science
Introduction to Computer Programming
Algorithms and Data Structures
Artificial Intelligence
Computer Vision
Machine Learning
Neural Networks
Game Development and Multimedia
Data Communication and Networks
Coding Theory
Computer Security
Information Security
Cryptography
Information Theory
Computer Organization and Architecture
Operating Systems
Image Processing
Parallel Computing
Concurrent Programming
Relational Database
Document-oriented Database
Data Mining
Big Data
Data Science
Digital Libraries
Compiler Design and Construction
Functional Programming
Logic Programming
Object Oriented Programming
Formal Methods
Software Engineering
Agile Software Development
Information Systems
Geographic Information System (GIS)

Mathematics
Mathematics
Algebra
Abstract Algebra
Linear Algebra
Number Theory
Numerical Methods
Precalculus
Calculus
Differential Equations
Category Theory
Proofs
Discrete Mathematics
Theory of Computation
Graph Theory
Real Analysis
Complex Analysis
Probability
Statistics
Game Theory
Queueing Theory
Operations Research
Computer Aided Mathematics

Supporting Fields
Web Design and Development
Mobile App Design and Development
System Administration
Cloud Computing
Electric Circuits
Embedded System
Signal Processing
Integration and Automation
Network Science
Project Management

Operating System
Programming/Scripting
Ada
Assembly
C / C++
Common Lisp
Forth
Java
JavaScript
Lua
Microsoft .NET
Rexx
Perl
PHP
Python
R
Rebol
Ruby
Scheme
Tcl/Tk

Miscellaneous
Sponsors