1. Edition - April 2003
175.- Euro
2003. 324 Pages, Hardcover
ISBN-10: 0-471-48709-0
ISBN-13: 978-0-471-48709-8 - John Wiley & Sons








Short description
Advanced engineering has made it necessary for all engineers to become exposed to computer-based tools and techniques. The computational technology, which allows engineers to carry out data modelling, visualisation and distribution techniques, is known as computer-aided engineering (CAE). This book will assist undergraduate engineering students enrolled in non-computer related departments, who need more fundamental education in CAE. This will be the first textbook available for this area of study.

From the contents
Foreword.

Preface.

1. Fundamental Logic and the Definition of Engineering Tasks.

Three Types of Inference.

Engineering Tasks.

A Model of Information and Tasks.

Another Task Definition.

The Five Orders of Ignorance.

Summary.

References.

Exercises.

2. Complexity.

Program Execution Time versus Task Size.

Big Oh Notation.

Practical Methods for Determining the Complexity of Algorithms.

P, NP and NP-completeness.

Summary.

Reference.

Further Reading.

Exercises.

3. Data Structures.

Introduction.

Definitions.

Derived Data Types.

Abstract Data Types.

Conceptual Structural Design of Buildings.

Summary.

Further Reading.

Exercises.

4. Object Representation and Reasoning.

Introduction.Grouping Data and Methods.

Definitions and Basic Concepts.

Important Characteristics of Objects.

Applications outside Programming.

An Object-O riented Design Methodology.

Summary.

References.

Further Reading.

Exercises.

5. Database Concepts.

Introduction.

Basic Concepts.

Relational Database Systems.

Relational Database Design.

Transaction Processing.

Other Types of Database.

Summary.

Reference.

Further Reading.

Exercises.

6. Computational Mechanics.

Introduction.

From Physical Equations to Practical Systems.

Methods for Finding Solutions.

Issues in Computer-Aided Engineering.

Summary.

Reference.

Further Reading.

Exercises.

7. Constraint-Based Reasoning.

Introduction.

Terminology.

Constraint-Solving Methods.

Reasoning with Constraints on Discrete Variables.

Reasoning with Constraints on Continuous Variables.

Summary.

Reference.

8. Optimization and Search.

Introduction.

Basic Concepts.

Classification of Methods.

Deterministic Optimization and Search.

Stochastic Methods.

A Closer Look at Genetic Algorithms.

Summary of Methods.

References.

Further Reading.

Exercises.

9. Knowledge Systems for Decision Support.

Introduction.

Important Characteristics of Knowledge Systems.

Representation of Knowledge.

Reasoning with Knowledge.

Importance of the User Interface.

Maintenance of Knowledge.

Model-Based Reasoning.

Case-Based Reasoning.

Summary.

Reference.

Further Reading.

10. Machine Learning.

Introduction.

Improving with Experience.

Formalizing the Learning Task.

Learning Algorithms.

A Closer Look at Artificial Neural Networks.

Summary.

References.

Further Reading.

Exercises.

11. Geometric Modelling.

Introduction.

Engineering Applications.

Mathematical Models for Representing Geometry.

Representing Complex Solids.

Applications.

Summary.

Further Reading.

12. Computer Graphics.

Introduction.

Tasks of Computer Graphics.

Display Devices.

Representing Graphics.

The Graphics Pipeline.

Interactive Graphics.

Summary.

Further Reading.

13. Distributed Applications and the Web.

Introduction.

Examples of Client-Server Applications.

Distinctive Features of C/S Systems.

Client-Server System Design.

Advantages of Client-Server Systems.

Developing Client-Server Applications.

The World Wide Web.

Peer-to-Peer Networks.

Agent Technology.

Summary.

Reference.

Further Reading.

Index.