1.

Record Nr.

UNINA9910144099003321

Autore

Forrester Alexander I. J.

Titolo

Engineering design via surrogate modelling : a practical guide / / Alexander I.J. Forrester, András Sóbester, and Andy J. Keane, University of Southampton, UK

Pubbl/distr/stampa

Chichester, West Sussex, England : , : Wiley, , 2008

©2008

ISBN

0-470-77080-5

1-281-84101-3

9786611841010

1-61583-477-X

0-470-77079-1

9780470770801

9780470770795

0470770791

Descrizione fisica

1 online resource (xviii, 210 pages) : illustrations (some colour)

Disciplina

620.0044

620/.0042015118

Soggetti

Engineering design - Mathematical models

Engineering design - Statistical methods

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Engineering Design via Surrogate Modelling; Contents; Preface; About the Authors; Foreword; Prologue; Part I Fundamentals; 1 Sampling Plans; 1.1 The 'Curse of Dimensionality' and How to Avoid It; 1.2 Physical versus Computational Experiments; 1.3 Designing Preliminary Experiments (Screening); 1.3.1 Estimating the Distribution of Elementary Effects; 1.4 Designing a Sampling Plan; 1.4.1 Stratification; 1.4.2 Latin Squares and Random Latin Hypercubes; 1.4.3 Space-filling Latin Hypercubes; 1.4.4 Space-filling Subsets; 1.5 A Note on Harmonic Responses; 1.6 Some Pointers for Further Reading

References2 Constructing a Surrogate; 2.1 The Modelling Process; 2.1.1 Stage One: Preparing the Data and Choosing a Modelling  Approach;



2.1.2 Stage Two: Parameter Estimation and Training; 2.1.3 Stage Three: Model Testing; 2.2 Polynomial Models; 2.2.1 Example One: Aerofoil Drag; 2.2.2 Example Two: a Multimodal Testcase; 2.2.3 What About the k-variable Case?; 2.3 Radial Basis Function Models; 2.3.1 Fitting Noise-Free Data; 2.3.2 Radial Basis Function Models of Noisy Data; 2.4 Kriging; 2.4.1 Building the Kriging Model; 2.4.2 Kriging Prediction; 2.5 Support Vector Regression

2.5.1 The Support Vector Predictor2.5.2 The Kernel Trick; 2.5.3 Finding the Support Vectors; 2.5.4 Finding ; 2.5.5 Choosing C and ; 2.5.6 Computing :  -SVR; 2.6 The Big(ger) Picture; References; 3 Exploring and Exploiting a Surrogate; 3.1 Searching the Surrogate; 3.2 Infill Criteria; 3.2.1 Prediction Based Exploitation; 3.2.2 Error Based Exploration; 3.2.3 Balanced Exploitation and Exploration; 3.2.4 Conditional Likelihood Approaches; 3.2.5 Other Methods; 3.3 Managing a Surrogate Based Optimization Process; 3.3.1 Which Surrogate for What Use?

3.3.2 How Many Sample Plan and Infill Points?3.3.3 Convergence Criteria; 3.4 Search of the Vibration Isolator Geometry Feasibility Using Kriging Goal Seeking; References; Part II Advanced Concepts; 4 Visualization; 4.1 Matrices of Contour Plots; 4.2 Nested Dimensions; Reference; 5 Constraints; 5.1 Satisfaction of Constraints by Construction; 5.2 Penalty Functions; 5.3 Example Constrained Problem; 5.3.1 Using a Kriging Model of the Constraint Function; 5.3.2 Using a Kriging Model of the Objective Function; 5.4 Expected Improvement Based Approaches

5.4.1 Expected Improvement With Simple Penalty Function5.4.2 Constrained Expected Improvement; 5.5 Missing Data; 5.5.1 Imputing Data for Infeasible Designs; 5.6 Design of a Helical Compression Spring Using Constrained Expected Improvement; 5.7 Summary; References; 6 Infill Criteria with Noisy Data; 6.1 Regressing Kriging; 6.2 Searching the Regression Model; 6.2.1 Re-Interpolation; 6.2.2 Re-Interpolation With Conditional Likelihood Approaches; 6.3 A Note on Matrix Ill-Conditioning; 6.4 Summary; References; 7 Exploiting Gradient Information; 7.1 Obtaining Gradients; 7.1.1 Finite Differencing

7.1.2 Complex Step Approximation

Sommario/riassunto

Surrogate models expedite the search for promising designs by standing in for expensive design evaluations or simulations. They provide a global model of some metric of a design (such as weight, aerodynamic drag, cost, etc.), which can then be optimized efficiently.  Engineering Design via Surrogate Modelling is a self-contained guide to surrogate models and their use in engineering design. The fundamentals of building, selecting, validating, searching and refining a surrogate are presented in a manner accessible to novices in the field. Figures are used liberally to explain the key



2.

Record Nr.

UNINA9910777664803321

Autore

Gu Ming Dong <1955->

Titolo

Chinese theories of reading and writing [[electronic resource] ] : a route to hermeneutics and open poetics / / Ming Dong Gu

Pubbl/distr/stampa

Albany, : State University of New York Press, c2005

ISBN

0-7914-8347-9

1-4237-4409-8

Descrizione fisica

1 online resource (304 p.)

Collana

Suny series in Chinese philosophy and culture

Disciplina

895.1/09

Soggetti

Chinese classics - History and criticism

Hermeneutics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references (p. 273-320) and index.



3.

Record Nr.

UNINA9910957749303321

Titolo

Architecture and the unconscious / / edited by John Shannon Hendrix and Lorens Eyan Holm

Pubbl/distr/stampa

London ; ; New York : , : Routledge, , 2016

ISBN

1-317-17926-9

1-317-17925-0

1-315-56769-5

Edizione

[1st ed.]

Descrizione fisica

1 online resource (292 pages) : illustrations

Altri autori (Persone)

HendrixJohn

HolmLorens

Disciplina

720

Soggetti

Architecture - Psychological aspects

Subconsciousness

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

First published 2016 by Ashgate Publishing.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

pt. 1. Historical paradigms for architecture and the unconscious -- pt. 2. The unconscious as a discourse for architecture of the city -- pt. 3. Fantasies, desires, diagnoses -- pt. 4. Case study : Maison De Verre.

Sommario/riassunto

There are a number of recent texts that draw on psychoanalytic theory as an interpretative approach for understanding architecture, or that use the formal and social logics of architecture for understanding the psyche. But there remains work to be done in bringing what largely amounts to a series of independent voices, into a discourse that is greater than the sum of its parts, in the way that, say, the architect Peter Eisenman was able to do with the architecture of deconstruction or that the historian Manfredo Tafuri was able to do with the Marxist critique of architecture. The discourse of the present volume focuses specifically for the first time on the subject of the unconscious in relation to the design, perception, and understanding of architecture. It brings together an international group of contributors, who provide informed and varied points of view on the role of the unconscious in architectural design and theory and, in doing so, expand architectural theory to unexplored areas, enriching architecture in relation to the humanities. The book explores how architecture engages dreams,



desires, imagination, memory, and emotions, how architecture can appeal to a broader scope of human experience and identity. Beginning by examining the historical development of the engagement of the unconscious in architectural discourse, and the current and historical, theoretical and practical, intersections of architecture and psychoanalysis, the volume also analyses the city and the urban condition.