Data Structures and Algorithms with Object-Oriented Design Patterns in C#

Promotes object-oriented design using C# and to illustrate the use of the emerging object-oriented design patterns.

**Publication date**: 31 Dec 2001

**ISBN-10**:
n/a

**ISBN-13**:
n/a

**Paperback**:
n/a

**Views**: 54,186

**Type**: N/A

**Publisher**:
n/a

**License**:
n/a

**Post time**: 08 Jan 2005 06:04:19

Data Structures and Algorithms with Object-Oriented Design Patterns in C#

Promotes object-oriented design using C# and to illustrate the use of the emerging object-oriented design patterns.

Book excerpts:

The primary goal of this book is to promote object-oriented design using C# and to illustrate the use of the emerging object-oriented design patterns. Experienced object-oriented programmers find that certain ways of doing things work best and that these ways occur over and over again. The book shows how these patterns are used to create good software designs. In particular, the following design patterns are used throughout the text: singleton, container, enumeration, adapter and visitor.

Virtually all of the data structures are presented in the context of a single, unified, polymorphic class hierarchy. This framework clearly shows the relationships between data structures and it illustrates how polymorphism and inheritance can be used effectively. In addition, algorithmic abstraction is used extensively when presenting classes of algorithms. By using algorithmic abstraction, it is possible to describe a generic algorithm without having to worry about the details of a particular concrete realization of that algorithm.

A secondary goal of the book is to present mathematical tools just in time. Analysis techniques and proofs are presented as needed and in the proper context. In the past when the topics in this book were taught at the graduate level, an author could rely on students having the needed background in mathematics. However, because the book is targeted for second and third-year students, it is necessary to fill in the background as needed. To the extent possible without compromising correctness, the presentation fosters intuitive understanding of the concepts rather than mathematical rigor.

This book presents the various data structures and algorithms as complete C# program fragments. All the program fragments presented in this book have been extracted automatically from the source code files of working and tested programs. It has been tested that by developing the proper abstractions, it is possible to present the concepts as fully functional programs without resorting to pseudo-code or to hand-waving.

This book does not teach the basics of programming. It is assumed that you have taken an introductory course in programming and that you have learned how to write a program in C#. That is, you have learned the rules of C# syntax and you have learned how to put together C# statements in order to solve rudimentary programming problems.

The primary goal of this book is to promote object-oriented design using C# and to illustrate the use of the emerging object-oriented design patterns. Experienced object-oriented programmers find that certain ways of doing things work best and that these ways occur over and over again. The book shows how these patterns are used to create good software designs. In particular, the following design patterns are used throughout the text: singleton, container, enumeration, adapter and visitor.

Virtually all of the data structures are presented in the context of a single, unified, polymorphic class hierarchy. This framework clearly shows the relationships between data structures and it illustrates how polymorphism and inheritance can be used effectively. In addition, algorithmic abstraction is used extensively when presenting classes of algorithms. By using algorithmic abstraction, it is possible to describe a generic algorithm without having to worry about the details of a particular concrete realization of that algorithm.

A secondary goal of the book is to present mathematical tools just in time. Analysis techniques and proofs are presented as needed and in the proper context. In the past when the topics in this book were taught at the graduate level, an author could rely on students having the needed background in mathematics. However, because the book is targeted for second and third-year students, it is necessary to fill in the background as needed. To the extent possible without compromising correctness, the presentation fosters intuitive understanding of the concepts rather than mathematical rigor.

This book presents the various data structures and algorithms as complete C# program fragments. All the program fragments presented in this book have been extracted automatically from the source code files of working and tested programs. It has been tested that by developing the proper abstractions, it is possible to present the concepts as fully functional programs without resorting to pseudo-code or to hand-waving.

This book does not teach the basics of programming. It is assumed that you have taken an introductory course in programming and that you have learned how to write a program in C#. That is, you have learned the rules of C# syntax and you have learned how to put together C# statements in order to solve rudimentary programming problems.

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