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Engineering Informatics
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Fundamentals of Computer-Aided Engineering
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Artikel-Nr:
9781119953418
Veröffentl:
2013
Erscheinungsdatum:
19.08.2013
Seiten:
360
Autor:
Benny Raphael
Gewicht:
680 g
Format:
244x175x23 mm
Sprache:
Englisch
Beschreibung:
Benny Raphael, National University of Singapore, Singapore
Benny Raphael is an Assistant Professor in the School of Design and Environment at the National University of Singapore. His main areas of research include Computer-aided engineering, Optimization and Machine learning.
Ian Smith, EPFL, Lausanne, Switzerland
Ian Smith is Professor and Head of the Applied Computing and Mechanics Laboratory within the Civil Engineering Institute in the School of Architecture, Civil and Environmental Engineering at EPFL. He has also been active in consulting related to monitoring structures, applications of information technology, structural design, evaluation and repair of existing structures and accident analysis in Europe, North America and Japan. He was elected to the Swiss Academy of Engineering Sciences in 2004 and received the Computing in Civil Engineering Award from the Amercian Society of Civil Engineers in 2005. HE is Editor of the"Journal of Advanced Engineering Informatics", and Associate Editor of "Journal of Artificial Intelligence for Engineering Design Analysis and Manufacturing".
Benny Raphael is an Assistant Professor in the School of Design and Environment at the National University of Singapore. His main areas of research include Computer-aided engineering, Optimization and Machine learning.
Ian Smith, EPFL, Lausanne, Switzerland
Ian Smith is Professor and Head of the Applied Computing and Mechanics Laboratory within the Civil Engineering Institute in the School of Architecture, Civil and Environmental Engineering at EPFL. He has also been active in consulting related to monitoring structures, applications of information technology, structural design, evaluation and repair of existing structures and accident analysis in Europe, North America and Japan. He was elected to the Swiss Academy of Engineering Sciences in 2004 and received the Computing in Civil Engineering Award from the Amercian Society of Civil Engineers in 2005. HE is Editor of the"Journal of Advanced Engineering Informatics", and Associate Editor of "Journal of Artificial Intelligence for Engineering Design Analysis and Manufacturing".
Computers are ubiquitous throughout all life-cycle stages of engineering, from conceptual design to manufacturing maintenance, repair and replacement. It is essential for all engineers to be aware of the knowledge behind computer-based tools and techniques they are likely to encounter. The computational technology, which allows engineers to carry out design, modelling, visualisation, manufacturing, construction and management of products and infrastructure is known as Computer-Aided Engineering (CAE).
Engineering Informatics: Fundamentals of Computer-Aided Engineering, 2nd Edition provides the foundation knowledge of computing that is essential for all engineers. This knowledge is independent of hardware and software characteristics and thus, it is expected to remain valid throughout an engineering career. This Second Edition is enhanced with treatment of new areas such as network science and the computational complexity of distributed systems.
Key features:
* Provides extensive coverage of almost all aspects of Computer-Aided Engineering, outlining general concepts such as fundamental logic, definition of engineering tasks and computational complexity
* Every chapter revised and expanded following more than ten years of experience teaching courses on the basis of the first edition
* Covers numerous representation frameworks and reasoning strategies
* Considers the benefits of increased computational power, parallel computing and cloud computing
* Offers many practical engineering examples and exercises, with lecture notes available for many of the topics/chapters from the ASCE Technical Council on Computing and Information Technology, Global Centre of Excellence in Computing (asceglobalcenter.org), providing a valuable resource for lecturers.
* Accompanied by a website hosting updates and solutions
Engineering Informatics: Fundamentals of Computer-Aided Engineering, 2nd Edition provides essential knowledge on computing theory in engineering contexts for students, researchers and practising engineers.
Engineering Informatics: Fundamentals of Computer-Aided Engineering, 2nd Edition provides the foundation knowledge of computing that is essential for all engineers. This knowledge is independent of hardware and software characteristics and thus, it is expected to remain valid throughout an engineering career. This Second Edition is enhanced with treatment of new areas such as network science and the computational complexity of distributed systems.
Key features:
* Provides extensive coverage of almost all aspects of Computer-Aided Engineering, outlining general concepts such as fundamental logic, definition of engineering tasks and computational complexity
* Every chapter revised and expanded following more than ten years of experience teaching courses on the basis of the first edition
* Covers numerous representation frameworks and reasoning strategies
* Considers the benefits of increased computational power, parallel computing and cloud computing
* Offers many practical engineering examples and exercises, with lecture notes available for many of the topics/chapters from the ASCE Technical Council on Computing and Information Technology, Global Centre of Excellence in Computing (asceglobalcenter.org), providing a valuable resource for lecturers.
* Accompanied by a website hosting updates and solutions
Engineering Informatics: Fundamentals of Computer-Aided Engineering, 2nd Edition provides essential knowledge on computing theory in engineering contexts for students, researchers and practising engineers.
Computers are ubiquitous throughout all life-cycle stages ofengineering, from conceptual design to manufacturing maintenance,repair and replacement. It is essential for all engineers tobe aware of the knowledge behind computer-based tools andtechniques they are likely to encounter.
Foreword to the First Edition xiii
Preface to the First Edition xvii
Preface to the Second Edition xxi
1 Fundamental Logic and the Definition of Engineering Tasks 1
1.1 Three Types of Inference 1
1.2 Engineering Tasks 3
1.3 A Model of Information and Tasks 5
1.4 Another Task Definition 8
1.5 The Five Orders of Ignorance 9
1.6 Summary 9
Exercises 10
References 10
2 Algorithms and Complexity 11
2.1 Algorithms and Execution Time of Programs 12
2.1.1 Program Execution Time versus Task Size 12
2.2 'Big Oh' Notation 14
2.2.1 Definition of the Big Oh Notation 15
2.2.2 Big Oh and Tightness of Bound 16
2.2.3 Classification of Functions 20
2.2.4 Examples 21
2.2.5 Tractability and Algorithm Optimality 30
2.3 Practical Methods for Determining the Complexity of Algorithms 30
2.4 P, NP and NP-Completeness 34
2.4.1 Zero-One Integer Programming (ZOIP) Problem 35
2.4.2 Classes of NP-Complete Problems 36
2.5 Summary 37
Exercises 37
Reference 40
Further Reading 40
3 Data Structures 41
3.1 Introduction 41
3.2 Definitions 42
3.3 Derived Data Types 42
3.3.1 Examples of Derived Data Types 43
3.3.2 User-Defined Data Types 45
3.4 Abstract Data Types 46
3.4.1 Linked Lists 47
3.4.2 Graphs 50
3.4.3 Trees 52
3.4.4 Stacks 56
3.4.5 Queues 60
3.5 An Example: Conceptual Structural Design of Buildings 63
3.6 Network Science 70
3.6.1 Types of Networks 71
3.7 Hashing 73
3.8 Summary 74
Exercises 74
Further Reading 79
4 Object Representation and Reasoning 81
4.1 Introduction 81
4.2 Grouping Data and Methods 82
4.3 Definitions and Basic Concepts 83
4.3.1 Classes and Objects 83
4.3.2 Object-Oriented Programming (OOP) 84
4.3.3 Messages 84
4.4 Important Characteristics of Objects 84
4.4.1 Encapsulation of Data and Methods 84
4.4.2 Message-Passing Mechanism 85
4.4.3 Abstraction Hierarchy 86
4.4.4 Secondary Features of Object Representation 88
4.4.5 Decomposition versus Abstraction 89
4.5 Applications Outside Programming 90
4.5.1 Knowledge Representation 91
4.5.2 User Interfaces 91
4.5.3 Off-the-Shelf Components 91
4.5.4 Product Models 91
4.6 An Object-Oriented Design Methodology 93
4.6.1 Single versus Multiple Inheritance 93
4.6.2 Message-Passing Architecture 94
4.7 Summary 95
Exercises 95
References 101
Further Reading 101
5 Database Concepts 103
5.1 Introduction 103
5.2 Basic Concepts 104
5.2.1 Initial Definitions 104
5.2.2 Evolution of Types of Databases 104
5.2.3 The Three-Level Architecture 106
5.3 Relational Database Systems 106
5.3.1 The Relational Model 107
5.3.2 Limitations of Relational Databases 111
5.3.3 Accessing Data in Relational Databases 112
5.4 Relational Database Design 114
5.4.1 First Normal Form 114
5.4.2 Second Normal Form 115
5.4.3 Third Normal Form 118
5.4.4 Boyce-Codd and Higher Normal Forms 119
5.4.5 Importance of Database Design 120
5.5 Transaction Processing 120
5.5.1 Definition of Tran
Preface to the First Edition xvii
Preface to the Second Edition xxi
1 Fundamental Logic and the Definition of Engineering Tasks 1
1.1 Three Types of Inference 1
1.2 Engineering Tasks 3
1.3 A Model of Information and Tasks 5
1.4 Another Task Definition 8
1.5 The Five Orders of Ignorance 9
1.6 Summary 9
Exercises 10
References 10
2 Algorithms and Complexity 11
2.1 Algorithms and Execution Time of Programs 12
2.1.1 Program Execution Time versus Task Size 12
2.2 'Big Oh' Notation 14
2.2.1 Definition of the Big Oh Notation 15
2.2.2 Big Oh and Tightness of Bound 16
2.2.3 Classification of Functions 20
2.2.4 Examples 21
2.2.5 Tractability and Algorithm Optimality 30
2.3 Practical Methods for Determining the Complexity of Algorithms 30
2.4 P, NP and NP-Completeness 34
2.4.1 Zero-One Integer Programming (ZOIP) Problem 35
2.4.2 Classes of NP-Complete Problems 36
2.5 Summary 37
Exercises 37
Reference 40
Further Reading 40
3 Data Structures 41
3.1 Introduction 41
3.2 Definitions 42
3.3 Derived Data Types 42
3.3.1 Examples of Derived Data Types 43
3.3.2 User-Defined Data Types 45
3.4 Abstract Data Types 46
3.4.1 Linked Lists 47
3.4.2 Graphs 50
3.4.3 Trees 52
3.4.4 Stacks 56
3.4.5 Queues 60
3.5 An Example: Conceptual Structural Design of Buildings 63
3.6 Network Science 70
3.6.1 Types of Networks 71
3.7 Hashing 73
3.8 Summary 74
Exercises 74
Further Reading 79
4 Object Representation and Reasoning 81
4.1 Introduction 81
4.2 Grouping Data and Methods 82
4.3 Definitions and Basic Concepts 83
4.3.1 Classes and Objects 83
4.3.2 Object-Oriented Programming (OOP) 84
4.3.3 Messages 84
4.4 Important Characteristics of Objects 84
4.4.1 Encapsulation of Data and Methods 84
4.4.2 Message-Passing Mechanism 85
4.4.3 Abstraction Hierarchy 86
4.4.4 Secondary Features of Object Representation 88
4.4.5 Decomposition versus Abstraction 89
4.5 Applications Outside Programming 90
4.5.1 Knowledge Representation 91
4.5.2 User Interfaces 91
4.5.3 Off-the-Shelf Components 91
4.5.4 Product Models 91
4.6 An Object-Oriented Design Methodology 93
4.6.1 Single versus Multiple Inheritance 93
4.6.2 Message-Passing Architecture 94
4.7 Summary 95
Exercises 95
References 101
Further Reading 101
5 Database Concepts 103
5.1 Introduction 103
5.2 Basic Concepts 104
5.2.1 Initial Definitions 104
5.2.2 Evolution of Types of Databases 104
5.2.3 The Three-Level Architecture 106
5.3 Relational Database Systems 106
5.3.1 The Relational Model 107
5.3.2 Limitations of Relational Databases 111
5.3.3 Accessing Data in Relational Databases 112
5.4 Relational Database Design 114
5.4.1 First Normal Form 114
5.4.2 Second Normal Form 115
5.4.3 Third Normal Form 118
5.4.4 Boyce-Codd and Higher Normal Forms 119
5.4.5 Importance of Database Design 120
5.5 Transaction Processing 120
5.5.1 Definition of Tran