Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Design / Jasbir S. Arora
| Design / Jasbir S. Arora |
| Autore | Arora, Jasbir S. |
| Pubbl/distr/stampa | New York [etc] : McGraw-Hill, c2001 |
| Descrizione fisica | xxx, 625 p. : ill. ; 25 cm |
| Disciplina | 620.0042 |
| Soggetto topico | Engineering design - Mathematical models |
| ISBN | 0072558091 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991001159889707536 |
Arora, Jasbir S.
|
||
| New York [etc] : McGraw-Hill, c2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
| ||
Design engineer's reference guide : mathematics, mechanics, and thermodynamics / / Keith L. Richards
| Design engineer's reference guide : mathematics, mechanics, and thermodynamics / / Keith L. Richards |
| Autore | Richards Keith L. |
| Pubbl/distr/stampa | Boca Raton, FL : , : CRC Press, , [2014] |
| Descrizione fisica | 1 online resource (350 p.) |
| Disciplina | 620.0042015118 |
| Soggetto topico |
Engineering design - Mathematical models
Industrial design |
| ISBN |
0-429-16844-6
1-5231-0769-3 1-4665-9286-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front Cover; Contents; Preface; Author; Acknowledgement; Chapter 1: Mathematics; Chapter 2: Introduction to Numerical Methods; Chapter 3: Properties of Sections and Figures; Chapter 4: Statics; Chapter 5: Dynamics; Chapter 6: Mechanical Vibrations; Chapter 7: Introduction to Control Systems Modelling; Chapter 8: Heat and Temperature; Chapter 9: Thermodynamic Basics; Chapter 10: Fluid Mechanics; Chapter 11: Introduction to Linkages; Back Cover |
| Record Nr. | UNINA-9910789401303321 |
|
Richards Keith L.
|
||
| Boca Raton, FL : , : CRC Press, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Design engineer's reference guide : mathematics, mechanics, and thermodynamics / / Keith L. Richards
| Design engineer's reference guide : mathematics, mechanics, and thermodynamics / / Keith L. Richards |
| Autore | Richards Keith L. |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Boca Raton, FL : , : CRC Press, , [2014] |
| Descrizione fisica | 1 online resource (350 p.) |
| Disciplina | 620.0042015118 |
| Soggetto topico |
Engineering design - Mathematical models
Industrial design |
| ISBN |
1-04-007363-8
0-429-16844-6 1-5231-0769-3 1-4665-9286-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front Cover; Contents; Preface; Author; Acknowledgement; Chapter 1: Mathematics; Chapter 2: Introduction to Numerical Methods; Chapter 3: Properties of Sections and Figures; Chapter 4: Statics; Chapter 5: Dynamics; Chapter 6: Mechanical Vibrations; Chapter 7: Introduction to Control Systems Modelling; Chapter 8: Heat and Temperature; Chapter 9: Thermodynamic Basics; Chapter 10: Fluid Mechanics; Chapter 11: Introduction to Linkages; Back Cover |
| Record Nr. | UNINA-9910973837903321 |
|
Richards Keith L.
|
||
| Boca Raton, FL : , : CRC Press, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Engineering design via surrogate modelling : a practical guide / / Alexander I.J. Forrester, András Sóbester, and Andy J. Keane, University of Southampton, UK
| Engineering design via surrogate modelling : a practical guide / / Alexander I.J. Forrester, András Sóbester, and Andy J. Keane, University of Southampton, UK |
| Autore | Forrester Alexander I. J. |
| Pubbl/distr/stampa | Chichester, West Sussex, England : , : Wiley, , 2008 |
| Descrizione fisica | 1 online resource (xviii, 210 pages) : illustrations (some colour) |
| Disciplina |
620.0044
620/.0042015118 |
| Soggetto topico |
Engineering design - Mathematical models
Engineering design - Statistical methods |
| ISBN |
0-470-77080-5
1-281-84101-3 9786611841010 1-61583-477-X 0-470-77079-1 9780470770801 9780470770795 0470770791 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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 |
| Record Nr. | UNINA-9910144099003321 |
|
Forrester Alexander I. J.
|
||
| Chichester, West Sussex, England : , : Wiley, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Engineering design via surrogate modelling : a practical guide / / Alexander I.J. Forrester, András Sóbester, and Andy J. Keane, University of Southampton, UK
| Engineering design via surrogate modelling : a practical guide / / Alexander I.J. Forrester, András Sóbester, and Andy J. Keane, University of Southampton, UK |
| Autore | Forrester Alexander I. J. |
| Pubbl/distr/stampa | Chichester, West Sussex, England : , : Wiley, , 2008 |
| Descrizione fisica | 1 online resource (xviii, 210 pages) : illustrations (some colour) |
| Disciplina |
620.0044
620/.0042015118 |
| Soggetto topico |
Engineering design - Mathematical models
Engineering design - Statistical methods |
| ISBN |
0-470-77080-5
1-281-84101-3 9786611841010 1-61583-477-X 0-470-77079-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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 |
| Record Nr. | UNINA-9910830969203321 |
|
Forrester Alexander I. J.
|
||
| Chichester, West Sussex, England : , : Wiley, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Engineering design via surrogate modelling : a practical guide / / Alexander I.J. Forrester, Andras Sobester and Andy J. Keane
| Engineering design via surrogate modelling : a practical guide / / Alexander I.J. Forrester, Andras Sobester and Andy J. Keane |
| Autore | Forrester Alexander I. J. |
| Pubbl/distr/stampa | Chichester, West Sussex, United Kingdom : , : Wiley, , 2008 |
| Descrizione fisica | 1 online resource (xviii, 210 pages) : illustrations (some colour) |
| Disciplina | 620/.0042015118 |
| Soggetto topico |
Engineering design - Mathematical models
Engineering design - Statistical methods Enginyeria - Disseny - Models matemàtics Enginyeria - Disseny - Mètodes estadístics |
| ISBN |
9786611841010
9780470770801 0470770805 9781281841018 1281841013 9781615834778 161583477X 9780470770795 0470770791 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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 |
| Record Nr. | UNINA-9911020015003321 |
|
Forrester Alexander I. J.
|
||
| Chichester, West Sussex, United Kingdom : , : Wiley, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Introduction to optimum design / / Jasbir Singh Arora
| Introduction to optimum design / / Jasbir Singh Arora |
| Autore | Arora Jasbir S. |
| Edizione | [Fourth edition.] |
| Pubbl/distr/stampa | London : , : Academic Press, , [2017] |
| Descrizione fisica | 1 online resource (xxi, 945 pages) : illustrations |
| Disciplina | 620.0042015118 |
| Collana | Gale eBooks |
| Soggetto topico | Engineering design - Mathematical models |
| ISBN |
0-12-800918-7
0-12-800806-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | I. The basic concepts -- Introduction to design optimization -- Optimum design problem formulation -- Graphical solution method and basic optimization concepts -- Optimum design concepts : optimality conditions -- More on optimum design concepts : optimaility conditions -- II. Numerical methods for continuous variable optimization -- 6. Optimum design : numerical solution process and Excel solver -- Optimum design with MATLAB -- Linear programming methods for optimum design -- More on linear programming methods and optimum design -- Numerical methods for unconstrained optimum design -- More on numerical methods for unconstrained optimum design -- Numerical methods for constrained optimum design -- More on numerical methods for constrained optimum design -- Practical applications of optimization -- III. Advanced and modern topics on optimum design --- Discrete variable optimum design concepts and methods -- Global optimization concepts and methods -- Nature-spired search methods -- Multi-objective optimum design concepts and methods -- 19. Additional topics on optimum design. |
| Record Nr. | UNINA-9910583337703321 |
|
Arora Jasbir S.
|
||
| London : , : Academic Press, , [2017] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Introduction to optimum design [[electronic resource] /] / Jasbir S. Arora
| Introduction to optimum design [[electronic resource] /] / Jasbir S. Arora |
| Autore | Arora Jasbir S |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier/Academic Press, 2004 |
| Descrizione fisica | 1 online resource (751 p.) |
| Disciplina | 620/.0042/015118 |
| Soggetto topico | Engineering design - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-96116-3
9786610961160 0-08-047025-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Front matter; Half Title Page; Title Page; Copyright; Author Detail; Dedication Page; Preface; Contents; 1. Introduction to Design; 1.1 The Design Process; 1.2 Engineering Design versus Engineering Analysis; 1.3 Conventional versus Optimum Design Process; 1.4 Optimum Design versus Optimal Control; 1.5 Basic Terminology and Notation; 2. Optimum Design Problem Formulation; 2.1 The Problem Formulation Process; 2.2 Design of a Can; 2.3 Insulated Spherical Tank Design; 2.4 Saw Mill Operation; 2.5 Design of a Two-Bar Bracket; 2.6 Design of a Cabinet; 2.7 Minimum Weight Tubular Column Design
2.8 Minimum Cost Cylindrical Tank Design 2.9 Design of Coil Springs; 2.10 Minimum Weight Design of a Symmetric Three-Bar Truss; 2.11 A General Mathematical Model for Optimum Design; Exercises for Chapter 2; 3. Graphical Optimization; 3.1 Graphical Solution Process; 3.2 Use of Mathematica for Graphical Optimization; 3.3 Use of MATLAB for Graphical Optimization; 3.4 Design Problem with Multiple Solutions; 3.5 Problem with Unbounded Solution; 3.6 Infeasible Problem; 3.7 Graphical Solution for Minimum Weight Tubular Column; 3.8 Graphical Solution for a Beam Design Problem; Exercises for Chapter 3 4. Optimum Design Concepts 4.1 Definitions of Global and Local Minima; 4.2 Review of Some Basic Calculus Concepts; 4.3 Unconstrained Optimum Design Problems; 4.4 Constrained Optimum Design Problems; 4.5 Postoptimality Analysis: Physical Meaning of Lagrange Multipliers; 4.6 Global Optimality; 4.7 Engineering Design Examples; Exercises for Chapter 4; 5. More on Optimum Design Concepts; 5.1 Alternate Form of KKT Necessary Conditions; 5.2 Irregular Points; 5.3 Second-Order Conditions for Constrained Optimization; 5.4 Sufficiency Check for Rectangular Beam Design Problem; Exercises for Chapter 5 6. Linear Programming Methods for Optimum Design 6.1 Definition of a Standard Linear Programming Problem; 6.2 Basic Concepts Related to Linear Programming Problems; 6.3 Basic Ideas and Steps of the Simplex Method; 6.4 Two-Phase Simplex Method-Artificial Variables; 6.5 Postoptimality Analysis; 6.6 Solution of LP Problems Using Excel Solver; Exercises for Chapter 6; 7. More on Linear Programming Methods for Optimum Design; 7.1 Derivation of the Simplex Method; 7.2 Alternate Simplex Method; 7.3 Duality in Linear Programming; Exercises for Chapter 7 8. Numerical Methods for Unconstrained Optimum Design 8.1 General Concepts Related to Numerical Algorithms; 8.2 Basic Ideas and Algorithms for Step Size Determination; 8.3 Search Direction Determination: Steepest Descent Method; 8.4 Search Direction Determination: Conjugate Gradient Method; Exercises for Chapter 8; 9. More on Numerical Methods for Unconstrained Optimum Design; 9.1 More on Step Size Determination; 9.2 More on Steepest Descent Method; 9.3 Scaling of Design Variables; 9.4 Search Direction Determination: Newton's Method; 9.5 Search Direction Determination: Quasi-Newton Methods 9.6 Engineering Applications of Unconstrained Methods |
| Record Nr. | UNINA-9910458751803321 |
|
Arora Jasbir S
|
||
| Amsterdam ; ; Boston, : Elsevier/Academic Press, 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Introduction to optimum design [[electronic resource] /] / Jasbir S. Arora
| Introduction to optimum design [[electronic resource] /] / Jasbir S. Arora |
| Autore | Arora Jasbir S |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier/Academic Press, 2004 |
| Descrizione fisica | 1 online resource (751 p.) |
| Disciplina | 620/.0042/015118 |
| Soggetto topico | Engineering design - Mathematical models |
| ISBN |
1-280-96116-3
9786610961160 0-08-047025-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Front matter; Half Title Page; Title Page; Copyright; Author Detail; Dedication Page; Preface; Contents; 1. Introduction to Design; 1.1 The Design Process; 1.2 Engineering Design versus Engineering Analysis; 1.3 Conventional versus Optimum Design Process; 1.4 Optimum Design versus Optimal Control; 1.5 Basic Terminology and Notation; 2. Optimum Design Problem Formulation; 2.1 The Problem Formulation Process; 2.2 Design of a Can; 2.3 Insulated Spherical Tank Design; 2.4 Saw Mill Operation; 2.5 Design of a Two-Bar Bracket; 2.6 Design of a Cabinet; 2.7 Minimum Weight Tubular Column Design
2.8 Minimum Cost Cylindrical Tank Design 2.9 Design of Coil Springs; 2.10 Minimum Weight Design of a Symmetric Three-Bar Truss; 2.11 A General Mathematical Model for Optimum Design; Exercises for Chapter 2; 3. Graphical Optimization; 3.1 Graphical Solution Process; 3.2 Use of Mathematica for Graphical Optimization; 3.3 Use of MATLAB for Graphical Optimization; 3.4 Design Problem with Multiple Solutions; 3.5 Problem with Unbounded Solution; 3.6 Infeasible Problem; 3.7 Graphical Solution for Minimum Weight Tubular Column; 3.8 Graphical Solution for a Beam Design Problem; Exercises for Chapter 3 4. Optimum Design Concepts 4.1 Definitions of Global and Local Minima; 4.2 Review of Some Basic Calculus Concepts; 4.3 Unconstrained Optimum Design Problems; 4.4 Constrained Optimum Design Problems; 4.5 Postoptimality Analysis: Physical Meaning of Lagrange Multipliers; 4.6 Global Optimality; 4.7 Engineering Design Examples; Exercises for Chapter 4; 5. More on Optimum Design Concepts; 5.1 Alternate Form of KKT Necessary Conditions; 5.2 Irregular Points; 5.3 Second-Order Conditions for Constrained Optimization; 5.4 Sufficiency Check for Rectangular Beam Design Problem; Exercises for Chapter 5 6. Linear Programming Methods for Optimum Design 6.1 Definition of a Standard Linear Programming Problem; 6.2 Basic Concepts Related to Linear Programming Problems; 6.3 Basic Ideas and Steps of the Simplex Method; 6.4 Two-Phase Simplex Method-Artificial Variables; 6.5 Postoptimality Analysis; 6.6 Solution of LP Problems Using Excel Solver; Exercises for Chapter 6; 7. More on Linear Programming Methods for Optimum Design; 7.1 Derivation of the Simplex Method; 7.2 Alternate Simplex Method; 7.3 Duality in Linear Programming; Exercises for Chapter 7 8. Numerical Methods for Unconstrained Optimum Design 8.1 General Concepts Related to Numerical Algorithms; 8.2 Basic Ideas and Algorithms for Step Size Determination; 8.3 Search Direction Determination: Steepest Descent Method; 8.4 Search Direction Determination: Conjugate Gradient Method; Exercises for Chapter 8; 9. More on Numerical Methods for Unconstrained Optimum Design; 9.1 More on Step Size Determination; 9.2 More on Steepest Descent Method; 9.3 Scaling of Design Variables; 9.4 Search Direction Determination: Newton's Method; 9.5 Search Direction Determination: Quasi-Newton Methods 9.6 Engineering Applications of Unconstrained Methods |
| Record Nr. | UNINA-9910784546003321 |
|
Arora Jasbir S
|
||
| Amsterdam ; ; Boston, : Elsevier/Academic Press, 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Introduction to optimum design [e-book] / Jasbir S. Arora
| Introduction to optimum design [e-book] / Jasbir S. Arora |
| Autore | Arora, Jasbir S. |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Amsterdam ; Boston : Elsevier/Academic Press, 2004 |
| Descrizione fisica | xxi, 728 p. : ill. ; 27 cm |
| Disciplina | 620.0042 |
| Soggetto topico | Engineering design - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9780120641550
0120641550 |
| Formato | Risorse elettroniche  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1.Introduction to Design, -- 2.Optimum Design Problem Formulation, -- 3.Graphical Optimization, -- 4.Optimum Design Concepts, -- 5.More on Optimum Design Concepts, -- 6.Linear Programming Methods for Optimum Design, -- 7.More on Linear Programming Methods for Optimum Design, -- 8.Numerical Methods for Unconstrained Optimum Design, -- 9.More on Numerical Methods for Unconstrained Optimum Design, -- 10.Numerical Methods for Constrained Optimum Design, -- 11.More on Numerical Methods for Constrained Optimum Design, -- 12.Introduction to Optimum Design with MATLAB, -- 13.Interactive Design Optimization, -- 14.Design Optimization Applications with Implicit Functions, -- 15.Discrete Variable Optimum Design Concepts and Methods, -- 16.Genetic Algorithms for Optimum Design, -- 17.Multi-Objective Optimum Design Concepts and Methods, -- 18.Global Optimization Concepts and Methods for Optimum Design, Appendices |
| Record Nr. | UNISALENTO-991003228489707536 |
|
Arora, Jasbir S.
|
||
| Amsterdam ; Boston : Elsevier/Academic Press, 2004 | ||
| Risorse elettroniche | ||
| Lo trovi qui: Univ. del Salento | ||
| ||
