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1.

図書
図書
1. Optimization concepts and applications in engineering. 3rd ed (: hardback)
Ashok D. Belegundu, Tirupathi R. Chandrupatla
出版情報: Cambridge : Cambridge University Press, 2019  xvi, 449 p. ; 26 cm
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2.

図書
図書
2. Similarity methods in engineering dynamics: theory and practice of scale modeling
[by] Wilfred E. Baker, Peter S. Westine, and Franklin T. Dodge
出版情報: Rochelle Park, N.J. : Spartan Books; [distributed by] Hayden Book Co, [1973]  396 p ; 24 cm
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3.

図書
図書
3. Similarity methods in engineering dynamics : theory and practice of scale modeling. Rev. ed
Wilfred E. Baker, Peter S. Westine, Franklin T. Dodge
出版情報: Amsterdam ; Tokyo : Elsevier, 1991  xi, 384 p. ; 25 cm
シリーズ名: Fundamental studies in engineering ; 12
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4.

図書
図書
4. Scale models in engineering : fundamentals and applications (pbk.)
Dieterich J. Schuring
出版情報: Oxford ; New York : Pergamon Press, c1977  xii, 299 p. ; 25 cm
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5.

図書
図書
5. Introduction to physical system modelling
P.E. Wellstead
出版情報: London ; New York : Academic Press, 1979  ix, 279 p. ; 24 cm
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6.

図書
図書
6. Similarity and dimensional methods in mechanics
L.I. Sedov ; translation edited by Maurice Holt ; translation by Morris Friedman
出版情報: New York : Academic Press , London : Infosearch, 1959  xvi, 363 p. ; 24 cm
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7.

図書
図書
7. Optimization concepts and applications in engineering. 2nd ed
Ashok D. Belegundu, Tirupathi R. Chandrupatla
出版情報: Cambridge : Cambridge University Press, 2011  xii, 463 p. ; 24 cm.
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目次情報: 続きを見る
Preliminary concepts / 1：
One dimensional unconstrained minimization / 2：
Unconstrained optimization / 3：
Linear programming / 4：
Constrained minimization / 5：
Penalty functions, duality, and geometric programming / 6：
Direct search methods for nonlinear optimization / 7：
Multiobjective optimization / 8：
Integer and discrete programming / 9：
Dynamic programming / 10：
Optimization applications for transportation, assignment, and network problems / 11：
Finite element based optimization / 12：
Preliminary concepts / 1：
One dimensional unconstrained minimization / 2：
Unconstrained optimization / 3：
8.

図書
図書
8. Experimental modelling in engineering
F.W. David and H. Nolle
出版情報: London ; Boston : Butterworths, 1982  185 p. ; 25 cm
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9.

図書
図書
9. Engineering design via surrogate modelling : a practical guide (hbk.)
Alexander I.J. Forrester, András Sóbester, and Andy J. Keane
出版情報: Chichester : John Wiley, c2008  xviii, 210 p., [8] leaves of plates ; 25 cm
シリーズ名: Progress in astronautics and aeronautics ; v. 226
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目次情報: 続きを見る
Preface
About the Authors
Foreword
Prologue
Fundamentals / Part I：
Sampling Plans / 1：
The 'Curse of Dimensionality' and How to Avoid It / 1.1：
Physical versus Computational Experiments / 1.2：
Designing Preliminary Experiments (Screening) / 1.3：
Estimating the Distribution of Elementary Effects / 1.3.1：
Designing a Sampling Plan / 1.4：
Stratification / 1.4.1：
Latin Squares and Random Latin Hypercubes / 1.4.2：
Space-filling Latin Hypercubes / 1.4.3：
Space-filling Subsets / 1.4.4：
A Note on Harmonic Responses / 1.5：
Some Pointers for Further Reading / 1.6：
References
Constructing a Surrogate / 2：
The Modelling Process / 2.1：
Stage One: Preparing the Data and Choosing a Modelling Approach / 2.1.1：
Stage Two: Parameter Estimation and Training / 2.1.2：
Stage Three: Model Testing / 2.1.3：
Polynomial Models / 2.2：
Example One: Aerofoil Drag / 2.2.1：
Example Two: a Multimodal Testcase / 2.2.2：
What About the k-variable Case? / 2.2.3：
Radial Basis Function Models / 2.3：
Fitting Noise-Free Data / 2.3.1：
Radial Basis Function Models of Noisy Data / 2.3.2：
Kriging / 2.4：
Building the Kriging Model / 2.4.1：
Kriging Prediction / 2.4.2：
Support Vector Regression / 2.5：
The Support Vector Predictor / 2.5.1：
The Kernel Trick / 2.5.2：
Finding the Support Vectors / 2.5.3：
Finding [mu] / 2.5.4：
Choosing C and [epsilon] / 2.5.5：
Computing [epsilon]: v-SVR / 2.5.6：
The Big(ger) Picture / 2.6：
Exploring and Exploiting a Surrogate / 3：
Searching the Surrogate / 3.1：
Infill Criteria / 3.2：
Prediction Based Exploitation / 3.2.1：
Error Based Exploration / 3.2.2：
Balanced Exploitation and Exploration / 3.2.3：
Conditional Likelihood Approaches / 3.2.4：
Other Methods / 3.2.5：
Managing a Surrogate Based Optimization Process / 3.3：
Which Surrogate for What Use? / 3.3.1：
How Many Sample Plan and Infill Points? / 3.3.2：
Convergence Criteria / 3.3.3：
Search of the Vibration Isolator Geometry Feasibility Using Kriging Goal Seeking / 3.4：
Advanced Concepts / Part II：
Visualization / 4：
Matrices of Contour Plots / 4.1：
Nested Dimensions / 4.2：
Reference
Constraints / 5：
Satisfaction of Constraints by Construction / 5.1：
Penalty Functions / 5.2：
Example Constrained Problem / 5.3：
Using a Kriging Model of the Constraint Function / 5.3.1：
Using a Kriging Model of the Objective Function / 5.3.2：
Expected Improvement Based Approaches / 5.4：
Expected Improvement With Simple Penalty Function / 5.4.1：
Constrained Expected Improvement / 5.4.2：
Missing Data / 5.5：
Imputing Data for Infeasible Designs / 5.5.1：
Design of a Helical Compression Spring Using Constrained Expected Improvement / 5.6：
Summary / 5.7：
Infill Criteria with Noisy Data / 6：
Regressing Kriging / 6.1：
Searching the Regression Model / 6.2：
Re-Interpolation / 6.2.1：
Re-Interpolation With Conditional Likelihood Approaches / 6.2.2：
A Note on Matrix Ill-Conditioning / 6.3：
Exploiting Gradient Information / 6.4：
Obtaining Gradients / 7.1：
Finite Differencing / 7.1.1：
Complex Step Approximation / 7.1.2：
Adjoint Methods and Algorithmic Differentiation / 7.1.3：
Gradient-enhanced Modelling / 7.2：
Hessian-enhanced Modelling / 7.3：
Multi-fidelity Analysis / 7.4：
Co-Kriging / 8.1：
One-variable Demonstration / 8.2：
Choosing X[subscript c] and X[subscript e] / 8.3：
Multiple Design Objectives / 8.4：
Pareto Optimization / 9.1：
Multi-objective Expected Improvement / 9.2：
Design of the Nowacki Cantilever Beam Using Multi-objective, Constrained Expected Improvement / 9.3：
Design of a Helical Compression Spring Using Multi-objective, Constrained Expected Improvement / 9.4：
Example Problems / 9.5：
One-Variable Test Function / A.1：
Branin Test Function / A.2：
Aerofoil Design / A.3：
The Nowacki Beam / A.4：
Multi-objective, Constrained Optimal Design of a Helical Compression Spring / A.5：
Novel Passive Vibration Isolator Feasibility / A.6：
Index
Preface
About the Authors
Foreword
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