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A Mathematical Theory of Design: Foundations, Algorithms and Applications

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Cover of 'A Mathematical Theory of Design: Foundations, Algorithms and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction and Overview
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    Chapter 2 Design as Scientific Problem-Solving
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    Chapter 3 Introductory Case Studies
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    Chapter 4 Representation of Design Artifacts
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    Chapter 5 The Idealized Design Process
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    Chapter 6 Modeling the Evolutionary Design Process
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    Chapter 7 Guided Heuristics in Engineering Design
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    Chapter 8 The Measurement of a Design Structural and Functional Complexity
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    Chapter 9 Statistical Analysis of the Time Complexity Measure
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    Chapter 10 Intelligent Advisory Tool for Design Decomposition
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    Chapter 11 Physical Design of Printed Circuit Boards: Group Technology Approach
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    Chapter 12 Physical Design of Printed Circuit Boards: Genetic Algorithm Approach
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    Chapter 13 Adaptive Learning for Successful Design
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    Chapter 14 Maintaining Consistency in the Design Process
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    Chapter 15 Constraint-Based Design of Faired Parametric Curves
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    Chapter 16 Creating a Consistent 3-D Virtual Last for Problems in the Shoe Industry
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    Chapter 17 Design of a Wormgear Reducer: A Case Study
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    Chapter 18 Adaptive Learning for Successful Flexible Manufacturing Cell Design: A Case Study
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    Chapter 19 Maintaining Design Consistency: Examples
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    Chapter 20 Cases in Evolutionary Design Processes
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    Chapter 21 Concluding Reflections
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A Mathematical Theory of Design: Foundations, Algorithms and Applications
Published by
Springer US, April 2013
DOI 10.1007/978-1-4757-2872-9
978-1-4419-4798-7, 978-1-4757-2872-9

Braha, Dan, Maimon, Oded

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Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 32%
Student > Ph. D. Student 7 28%
Professor > Associate Professor 4 16%
Student > Postgraduate 1 4%
Other 1 4%
Other 4 16%
Readers by discipline Count As %
Engineering 16 64%
Unspecified 3 12%
Business, Management and Accounting 1 4%
Mathematics 1 4%
Economics, Econometrics and Finance 1 4%
Other 3 12%