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Robust Design Optimization of Electrical Machines and Devices / / by Tamás Orosz, David Pánek, Anton Rassõlkin (editors)
Robust Design Optimization of Electrical Machines and Devices / / by Tamás Orosz, David Pánek, Anton Rassõlkin (editors)
Pubbl/distr/stampa [Place of publication not identified] : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023
Descrizione fisica 1 online resource (228 pages)
Disciplina 519.3
Soggetto topico Mathematical optimization
Robust optimization
ISBN 3-0365-6377-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Robust Design Optimization of Electrical Machines and Devices 1 -- Robust and Multi-Objective Pareto Design of a Solenoid 5 -- A Multi-Objective Design Optimization for a Permanent Magnet Synchronous Machine with Hairpin Winding Intended for Transport Applications 21 -- Analytical Study and Comparison of Electromagnetic Characteristics of 8-Pole 9-Slot and 8-Pole 12-Slot Permanent Magnet Synchronous Machines Considering Rotor Eccentricity 35 -- On the Optimal Selection of Flux Barrier Reconfiguration for a Five-Phase Permanent Magnet Assisted Synchronous Reluctance Machine for Low-Torque Ripple Application 45 -- Power Quality Monitoring Strategy Based on an Optimized Multi-Domain Feature Selection for the Detection and Classification of Disturbances in Wind Generators 61 -- The Structural and Dielectric Properties of Bi3−xNdxTi1.5W0.5O9 (x = 0.25, 0.5, 0.75, 1.0) 87 -- Assessment of Thermophysical Performance of Ester-Based Nanofluids for Enhanced Insulation Cooling in Transformers 99 -- Comparison of Mechanical and Low-Frequency Dielectric Properties of Thermally and Thermo-Mechanically Aged Low Voltage CSPE/XLPE Nuclear Power Plant Cables 113 -- Optimization of a 3D-Printed Permanent Magnet Coupling Using Genetic Algorithm and Taguchi Method 129 -- A Computationally Efficient Model Predictive Current Control of Synchronous Reluctance Motors Based on Hysteresis Comparators 145 -- A Modified Dynamic Model of Single-Sided Linear Induction Motors Considering Longitudinal and Transversal Effects 159 -- A Novel, Improved Equivalent Circuit Model for Double-Sided Linear Induction Motor 173 -- Performance Comparison of Quantized Control Synthesis Methods of Antenna Arrays 189 -- Application of Particle Swarm Optimization in the Design of an ICT High-Voltage Power Supply with Dummy Primary Winding 207.
Record Nr. UNINA-9910647229803321
[Place of publication not identified] : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Robust optimization [[electronic resource] /] / Aharon Ben-Tal, Laurent El Ghaoui, Arkadi Nemirovski
Robust optimization [[electronic resource] /] / Aharon Ben-Tal, Laurent El Ghaoui, Arkadi Nemirovski
Autore Ben-Tal A
Edizione [Course Book]
Pubbl/distr/stampa Princeton, NJ, : Princeton University Press, c2009
Descrizione fisica 1 online resource (565 p.)
Disciplina 519.6
Altri autori (Persone) El GhaouiLaurent
NemirovskiĭArkadiĭ Semenovich
Collana Princeton Series in Applied Mathematics
Soggetto topico Robust optimization
Linear programming
Soggetto genere / forma Electronic books.
ISBN 1-282-25928-8
9786612259289
1-4008-3105-9
Classificazione SK 870
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Contents -- Preface -- Part I. Robust Linear Optimization -- Chapter One. Uncertain Linear Optimization Problems and their Robust Counterparts -- Chapter Two. Robust Counterpart Approximations of Scalar Chance Constraints -- Chapter Three. Globalized Robust Counterparts of Uncertain LO Problems -- Chapter Four. More on Safe Tractable Approximations of Scalar Chance Constraints -- Part II. Robust Conic Optimization -- Chapter Five. Uncertain Conic Optimization: The Concepts -- Chapter Six. Uncertain Conic Quadratic Problems with Tractable RCs -- Chapter Seven. Approximating RCs of Uncertain Conic Quadratic Problems -- Chapter Eight. Uncertain Semidefinite Problems with Tractable RCs -- Chapter Nine. Approximating RCs of Uncertain Semidefinite Problems -- Chapter Ten. Approximating Chance Constrained CQIs and LMIs -- Chapter Eleven. Globalized Robust Counterparts of Uncertain Conic Problems -- Chapter Twelve. Robust Classi¯cation and Estimation -- Part III. Robust Multi-Stage Optimization -- Chapter Thirteen. Robust Markov Decision Processes -- Chapter Fourteen. Robust Adjustable Multistage Optimization -- Part IV. Selected Applications -- Chapter Fifteen. Selected Applications -- Appendix A: Notation and Prerequisites -- Appendix B: Some Auxiliary Proofs -- Appendix C: Solutions to Selected Exercises -- Bibliography -- Index
Record Nr. UNINA-9910455223503321
Ben-Tal A  
Princeton, NJ, : Princeton University Press, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Robust optimization [[electronic resource] /] / Aharon Ben-Tal, Laurent El Ghaoui, Arkadi Nemirovski
Robust optimization [[electronic resource] /] / Aharon Ben-Tal, Laurent El Ghaoui, Arkadi Nemirovski
Autore Ben-Tal A
Edizione [Course Book]
Pubbl/distr/stampa Princeton, NJ, : Princeton University Press, c2009
Descrizione fisica 1 online resource (565 p.)
Disciplina 519.6
Altri autori (Persone) El GhaouiLaurent
NemirovskiĭArkadiĭ Semenovich
Collana Princeton Series in Applied Mathematics
Soggetto topico Robust optimization
Linear programming
Soggetto non controllato 0O
Accuracy and precision
Additive model
Almost surely
Approximation algorithm
Approximation
Best, worst and average case
Bifurcation theory
Big O notation
Candidate solution
Central limit theorem
Chaos theory
Coefficient
Computational complexity theory
Constrained optimization
Convex hull
Convex optimization
Convex set
Cumulative distribution function
Curse of dimensionality
Decision problem
Decision rule
Degeneracy (mathematics)
Diagram (category theory)
Duality (optimization)
Dynamic programming
Exponential function
Feasible region
Floor and ceiling functions
For All Practical Purposes
Free product
Ideal solution
Identity matrix
Inequality (mathematics)
Infimum and supremum
Integer programming
Law of large numbers
Likelihood-ratio test
Linear dynamical system
Linear inequality
Linear map
Linear matrix inequality
Linear programming
Linear regression
Loss function
Margin classifier
Markov chain
Markov decision process
Mathematical optimization
Max-plus algebra
Maxima and minima
Multivariate normal distribution
NP-hardness
Norm (mathematics)
Normal distribution
Optimal control
Optimization problem
Orientability
P versus NP problem
Pairwise
Parameter
Parametric family
Probability distribution
Probability
Proportionality (mathematics)
Quantity
Random variable
Relative interior
Robust control
Robust decision-making
Robust optimization
Semi-infinite
Sensitivity analysis
Simple set
Singular value
Skew-symmetric matrix
Slack variable
Special case
Spherical model
Spline (mathematics)
State variable
Stochastic calculus
Stochastic control
Stochastic optimization
Stochastic programming
Stochastic
Strong duality
Support vector machine
Theorem
Time complexity
Uncertainty
Uniform distribution (discrete)
Unimodality
Upper and lower bounds
Variable (mathematics)
Virtual displacement
Weak duality
Wiener filter
With high probability
Without loss of generality
ISBN 1-282-25928-8
9786612259289
1-4008-3105-9
Classificazione SK 870
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Contents -- Preface -- Part I. Robust Linear Optimization -- Chapter One. Uncertain Linear Optimization Problems and their Robust Counterparts -- Chapter Two. Robust Counterpart Approximations of Scalar Chance Constraints -- Chapter Three. Globalized Robust Counterparts of Uncertain LO Problems -- Chapter Four. More on Safe Tractable Approximations of Scalar Chance Constraints -- Part II. Robust Conic Optimization -- Chapter Five. Uncertain Conic Optimization: The Concepts -- Chapter Six. Uncertain Conic Quadratic Problems with Tractable RCs -- Chapter Seven. Approximating RCs of Uncertain Conic Quadratic Problems -- Chapter Eight. Uncertain Semidefinite Problems with Tractable RCs -- Chapter Nine. Approximating RCs of Uncertain Semidefinite Problems -- Chapter Ten. Approximating Chance Constrained CQIs and LMIs -- Chapter Eleven. Globalized Robust Counterparts of Uncertain Conic Problems -- Chapter Twelve. Robust Classi¯cation and Estimation -- Part III. Robust Multi-Stage Optimization -- Chapter Thirteen. Robust Markov Decision Processes -- Chapter Fourteen. Robust Adjustable Multistage Optimization -- Part IV. Selected Applications -- Chapter Fifteen. Selected Applications -- Appendix A: Notation and Prerequisites -- Appendix B: Some Auxiliary Proofs -- Appendix C: Solutions to Selected Exercises -- Bibliography -- Index
Record Nr. UNINA-9910778219003321
Ben-Tal A  
Princeton, NJ, : Princeton University Press, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Robust optimization / / Aharon Ben-Tal, Laurent El Ghaoui, Arkadi Nemirovski
Robust optimization / / Aharon Ben-Tal, Laurent El Ghaoui, Arkadi Nemirovski
Autore Ben-Tal A
Edizione [Course Book]
Pubbl/distr/stampa Princeton, NJ, : Princeton University Press, c2009
Descrizione fisica 1 online resource (565 p.)
Disciplina 519.6
Altri autori (Persone) El GhaouiLaurent
NemirovskiĭArkadiĭ Semenovich
Collana Princeton Series in Applied Mathematics
Soggetto topico Robust optimization
Linear programming
Soggetto non controllato 0O
Accuracy and precision
Additive model
Almost surely
Approximation algorithm
Approximation
Best, worst and average case
Bifurcation theory
Big O notation
Candidate solution
Central limit theorem
Chaos theory
Coefficient
Computational complexity theory
Constrained optimization
Convex hull
Convex optimization
Convex set
Cumulative distribution function
Curse of dimensionality
Decision problem
Decision rule
Degeneracy (mathematics)
Diagram (category theory)
Duality (optimization)
Dynamic programming
Exponential function
Feasible region
Floor and ceiling functions
For All Practical Purposes
Free product
Ideal solution
Identity matrix
Inequality (mathematics)
Infimum and supremum
Integer programming
Law of large numbers
Likelihood-ratio test
Linear dynamical system
Linear inequality
Linear map
Linear matrix inequality
Linear programming
Linear regression
Loss function
Margin classifier
Markov chain
Markov decision process
Mathematical optimization
Max-plus algebra
Maxima and minima
Multivariate normal distribution
NP-hardness
Norm (mathematics)
Normal distribution
Optimal control
Optimization problem
Orientability
P versus NP problem
Pairwise
Parameter
Parametric family
Probability distribution
Probability
Proportionality (mathematics)
Quantity
Random variable
Relative interior
Robust control
Robust decision-making
Robust optimization
Semi-infinite
Sensitivity analysis
Simple set
Singular value
Skew-symmetric matrix
Slack variable
Special case
Spherical model
Spline (mathematics)
State variable
Stochastic calculus
Stochastic control
Stochastic optimization
Stochastic programming
Stochastic
Strong duality
Support vector machine
Theorem
Time complexity
Uncertainty
Uniform distribution (discrete)
Unimodality
Upper and lower bounds
Variable (mathematics)
Virtual displacement
Weak duality
Wiener filter
With high probability
Without loss of generality
ISBN 1-282-25928-8
9786612259289
1-4008-3105-9
Classificazione SK 870
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Contents -- Preface -- Part I. Robust Linear Optimization -- Chapter One. Uncertain Linear Optimization Problems and their Robust Counterparts -- Chapter Two. Robust Counterpart Approximations of Scalar Chance Constraints -- Chapter Three. Globalized Robust Counterparts of Uncertain LO Problems -- Chapter Four. More on Safe Tractable Approximations of Scalar Chance Constraints -- Part II. Robust Conic Optimization -- Chapter Five. Uncertain Conic Optimization: The Concepts -- Chapter Six. Uncertain Conic Quadratic Problems with Tractable RCs -- Chapter Seven. Approximating RCs of Uncertain Conic Quadratic Problems -- Chapter Eight. Uncertain Semidefinite Problems with Tractable RCs -- Chapter Nine. Approximating RCs of Uncertain Semidefinite Problems -- Chapter Ten. Approximating Chance Constrained CQIs and LMIs -- Chapter Eleven. Globalized Robust Counterparts of Uncertain Conic Problems -- Chapter Twelve. Robust Classi¯cation and Estimation -- Part III. Robust Multi-Stage Optimization -- Chapter Thirteen. Robust Markov Decision Processes -- Chapter Fourteen. Robust Adjustable Multistage Optimization -- Part IV. Selected Applications -- Chapter Fifteen. Selected Applications -- Appendix A: Notation and Prerequisites -- Appendix B: Some Auxiliary Proofs -- Appendix C: Solutions to Selected Exercises -- Bibliography -- Index
Record Nr. UNINA-9910813421503321
Ben-Tal A  
Princeton, NJ, : Princeton University Press, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Robust optimization : world's best practices for developing winning vehicles / / Subir Chowdhury, Shin Taguchi
Robust optimization : world's best practices for developing winning vehicles / / Subir Chowdhury, Shin Taguchi
Autore Chowdhury Subir
Pubbl/distr/stampa Chichester, England : , : Wiley, , 2016
Descrizione fisica 1 online resource (527 p.)
Disciplina 629.231
Soggetto topico Motor vehicles - Design and construction
Robust optimization
Manufacturing processes
ISBN 1-119-21214-6
1-119-21208-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Title Page; Copyright; Dedication; Preface; Acknowledgments; About the Authors; Chapter 1: Introduction to Robust Optimization; 1.1 What Is Quality as Loss?; 1.2 What Is Robustness?; 1.3 What Is Robust Assessment?; 1.4 What Is Robust Optimization?; Chapter 2: Eight Steps for Robust Optimization and Robust Assessment; 2.1 Before Eight Steps: Select Project Area; 2.2 Eight Steps for Robust Optimization; 2.3 Eight Steps for Robust Assessment; 2.4 As You Go through Case Studies in This Book; Chapter 3: Implementation of Robust Optimization; 3.1 Introduction; 3.2 Robust Optimization Implementation
Part One: Vehicle Level OptimizationChapter 4: Optimization of Vehicle Offset Crashworthy Design Using a Simplified Analysis Model; 4.1 Executive Summary; 4.2 Introduction; 4.3 Stepwise Implementation of DFSS Optimization for Vehicle Offset Impact; 4.4 Conclusion; References; Chapter 5: Optimization of the Component Characteristics for Improving Collision Safety by Simulation; 5.1 Executive Summary; 5.2 Introduction; 5.3 Simulation Models; 5.4 Concept of Standardized S/N Ratios with Respect to Survival Space; 5.5 Results and Consideration; 5.6 Conclusion; Reference
Part Two: Subsystems Level Optimization by Original Equipment Manufacturers (OEMs)Chapter 6: Optimization of Small DC Motors Using Functionality for Evaluation; 6.1 Executive Summary; 6.2 Introduction; 6.3 Functionality for Evaluation in Case of DC Motors; 6.4 Experiment Method and Measurement Data; 6.5 Factors and Levels; 6.6 Data Analysis; 6.7 Analysis Results; 6.8 Selection of Optimal Design and Confirmation; 6.9 Benefits Gained; 6.10 Consideration of Analysis for Audible Noise; 6.11 Conclusion; Chapter 7: Optimal Design for a Double-Lift Window Regulator System Used in Automobiles
7.1 Executive Summary7.2 Introduction; 7.3 Schematic Figure of Double-Lift Window Regulator System; 7.4 Ideal Function; 7.5 Noise Factors; 7.6 Control Factors; 7.7 Conventional Data Analysis and Results; 7.8 Selection of Optimal Condition and Confirmation Test Results; 7.9 Evaluation of Quality Characteristics; 7.10 Concept of Analysis Based on Standardized S/N Ratio; 7.11 Analysis Results Based on Standardized S/N Ratio; 7.12 Comparison between Analysis Based on Standardized S/N Ratio and Analysis Based on Conventional S/N Ratio; 7.13 Conclusion; Further Reading
Chapter 8: Optimization of Next-Generation Steering System Using Computer Simulation8.1 Executive Summary; 8.2 Introduction; 8.3 System Description; 8.4 Measurement Data; 8.5 Ideal Function; 8.6 Factors and Levels; 8.7 Pre-analysis for Compounding the Noise Factors; 8.8 Calculation of Standardized S/N Ratio; 8.9 Analysis Results; 8.10 Determination of Optimal Design and Confirmation; 8.11 Tuning to the Targeted Value; 8.12 Conclusion; Chapter 9: Future Truck Steering Effort Robustness; 9.1 Executive Summary; 9.2 Background; 9.3 Parameter Design; 9.4 Acknowledgments; References
Chapter 10: Optimal Design of Engine Mounting System Based on Quality Engineering
Record Nr. UNINA-9910137486903321
Chowdhury Subir  
Chichester, England : , : Wiley, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Robust optimization in electric energy systems / / Xu Andy Sun, Antonio J. Conejo
Robust optimization in electric energy systems / / Xu Andy Sun, Antonio J. Conejo
Autore Sun Xu Andy
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (337 pages)
Disciplina 519.6
Collana International Series in Operations Research & Management Science
Soggetto topico Robust optimization
Electrical engineering - Mathematical models
Electric utilities
ISBN 3-030-85128-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910508480503321
Sun Xu Andy  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Robust portfolio optimization and management [[electronic resource] /] / Frank J. Fabozzi ... [et al.]
Robust portfolio optimization and management [[electronic resource] /] / Frank J. Fabozzi ... [et al.]
Pubbl/distr/stampa Hoboken, New Jersey, : John Wiley, c2007
Descrizione fisica 1 online resource (513 p.)
Disciplina 332.6
Altri autori (Persone) FabozziFrank J
Collana Frank J. Fabozzi series
Wiley finance
Soggetto topico Portfolio management
Robust optimization
Gestió de cartera
Soggetto genere / forma Electronic books.
Llibres electrònics
ISBN 1-119-20217-5
1-280-85552-5
9786610855520
0-470-16489-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Robust Portfolio Optimization and Management; Contents; Preface; TEACHING USING THIS BOOK; ACKNOWLEDGMENTS; Chapter 1: Introduction; QUANTITATIVE TECHNIQUES IN THE INVESTMENT MANAGEMENT INDUSTRY; CENTRAL THEMES OF THIS BOOK; OVERVIEW OF THIS BOOK; Chapter 2: Mean-Variance Analysis and Modern Portfolio Theory; THE BENEFITS OF DIVERSIFICATION; MEAN-VARIANCE ANALYSIS: OVERVIEW; CLASSICAL FRAMEWORK FOR MEAN-VARIANCE OPTIMIZATION; THE CAPITAL MARKET LINE; SELECTION OF THE OPTIMAL PORTFOLIO WHEN THERE IS A RISK-FREE ASSET; MORE ON UTILITY FUNCTIONS: A GENERAL FRAMEWORK FOR PORTFOLIO CHOICE; SUMMARY
Chapter 3: Advances in the Theory of Portfolio Risk MeasuresDISPERSION AND DOWNSIDE MEASURES; PORTFOLIO SELECTION WITH HIGHER MOMENTS THROUGH EXPANSIONS OF UTILITY; POLYNOMIAL GOAL PROGRAMMING FOR PORTFOLIO OPTIMIZATION WITH HIGHER MOMENTS; SOME REMARKS ON THE ESTIMATION OF HIGHER MOMENTS; THE APPROACH OF MALEVERGNE AND SORNETTE; SUMMARY; Chapter 4: Portfolio Selection in Practice; PORTFOLIO CONSTRAINTS COMMONLY USED IN PRACTICE; INCORPORATING TRANSACTION COSTS IN ASSET-ALLOCATION MODELS; MULTIACCOUNT OPTIMIZATION; SUMMARY; Chapter 5: Classical Asset Pricing; DEFINITIONS
THEORETICAL AND ECONOMETRIC MODELSRANDOM WALK MODELS; GENERAL EQUILIBRIUM THEORIES; CAPITAL ASSET PRICING MODEL (CAPM); ARBITRAGE PRICING THEORY (APT); SUMMARY; Chapter 6: Forecasting Expected Return and Risk; DIVIDEND DISCOUNT AND RESIDUAL INCOME VALUATION MODELS; THE SAMPLE MEAN AND COVARIANCE ESTIMATORS; RANDOM MATRICES; ARBITRAGE PRICING THEORY AND FACTOR MODELS; FACTOR MODELS IN PRACTICE; OTHER APPROACHES TO VOLATILITY ESTIMATION; APPLICATION TO INVESTMENT STRATEGIES AND PROPRIETARY TRADING; SUMMARY; Chapter 7: Robust Estimation; THE INTUITION BEHIND ROBUST STATISTICS; ROBUST STATISTICS
ROBUST ESTIMATORS OF REGRESSIONSCONFIDENCE INTERVALS; SUMMARY; Chapter 8: Robust Frameworks for Estimation: Shrinkage, Bayesian Approaches, and the Black-Litterman Model; PRACTICAL PROBLEMS ENCOUNTERED IN MEAN-VARIANCE OPTIMIZATION; SHRINKAGE ESTIMATION; BAYESIAN APPROACHES; SUMMARY; Chapter 9: Mathematical and Numerical Optimization; MATHEMATICAL PROGRAMMING; NECESSARY CONDITIONS FOR OPTIMALITY FOR CONTINUOUS OPTIMIZATION PROBLEMS; OPTIMIZATION DUALITY THEORY; HOW DO OPTIMIZATION ALGORITHMS WORK?; SUMMARY; Chapter 10: Optimization Under Uncertainty; STOCHASTIC PROGRAMMING
DYNAMIC PROGRAMMINGROBUST OPTIMIZATION; SUMMARY; Chapter 11: Implementing and Solving Optimization Problems in Practice; OPTIMIZATION SOFTWARE; PRACTICAL CONSIDERATIONS WHEN USING OPTIMIZATION SOFTWARE; IMPLEMENTATION EXAMPLES; SPECIALIZED SOFTWARE FOR OPTIMIZATION UNDER UNCERTAINTY; SUMMARY; Chapter 12: Robust Modeling of Uncertain Parameters in Classical Mean-Variance Portfolio Optimization; PORTFOLIO RESAMPLING TECHNIQUES; ROBUST PORTFOLIO ALLOCATION; SOME PRACTICAL REMARKS ON ROBUST PORTFOLIO ALLOCATION MODELS; SUMMARY
Chapter 13: The Practice of Robust Portfolio Management: Recent Trends and New Directions
Record Nr. UNINA-9910143433003321
Hoboken, New Jersey, : John Wiley, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Robust portfolio optimization and management [[electronic resource] /] / Frank J. Fabozzi ... [et al.]
Robust portfolio optimization and management [[electronic resource] /] / Frank J. Fabozzi ... [et al.]
Pubbl/distr/stampa Hoboken, New Jersey, : John Wiley, c2007
Descrizione fisica 1 online resource (513 p.)
Disciplina 332.6
Altri autori (Persone) FabozziFrank J
Collana Frank J. Fabozzi series
Wiley finance
Soggetto topico Portfolio management
Robust optimization
Gestió de cartera
Soggetto genere / forma Llibres electrònics
ISBN 1-119-20217-5
1-280-85552-5
9786610855520
0-470-16489-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Robust Portfolio Optimization and Management; Contents; Preface; TEACHING USING THIS BOOK; ACKNOWLEDGMENTS; Chapter 1: Introduction; QUANTITATIVE TECHNIQUES IN THE INVESTMENT MANAGEMENT INDUSTRY; CENTRAL THEMES OF THIS BOOK; OVERVIEW OF THIS BOOK; Chapter 2: Mean-Variance Analysis and Modern Portfolio Theory; THE BENEFITS OF DIVERSIFICATION; MEAN-VARIANCE ANALYSIS: OVERVIEW; CLASSICAL FRAMEWORK FOR MEAN-VARIANCE OPTIMIZATION; THE CAPITAL MARKET LINE; SELECTION OF THE OPTIMAL PORTFOLIO WHEN THERE IS A RISK-FREE ASSET; MORE ON UTILITY FUNCTIONS: A GENERAL FRAMEWORK FOR PORTFOLIO CHOICE; SUMMARY
Chapter 3: Advances in the Theory of Portfolio Risk MeasuresDISPERSION AND DOWNSIDE MEASURES; PORTFOLIO SELECTION WITH HIGHER MOMENTS THROUGH EXPANSIONS OF UTILITY; POLYNOMIAL GOAL PROGRAMMING FOR PORTFOLIO OPTIMIZATION WITH HIGHER MOMENTS; SOME REMARKS ON THE ESTIMATION OF HIGHER MOMENTS; THE APPROACH OF MALEVERGNE AND SORNETTE; SUMMARY; Chapter 4: Portfolio Selection in Practice; PORTFOLIO CONSTRAINTS COMMONLY USED IN PRACTICE; INCORPORATING TRANSACTION COSTS IN ASSET-ALLOCATION MODELS; MULTIACCOUNT OPTIMIZATION; SUMMARY; Chapter 5: Classical Asset Pricing; DEFINITIONS
THEORETICAL AND ECONOMETRIC MODELSRANDOM WALK MODELS; GENERAL EQUILIBRIUM THEORIES; CAPITAL ASSET PRICING MODEL (CAPM); ARBITRAGE PRICING THEORY (APT); SUMMARY; Chapter 6: Forecasting Expected Return and Risk; DIVIDEND DISCOUNT AND RESIDUAL INCOME VALUATION MODELS; THE SAMPLE MEAN AND COVARIANCE ESTIMATORS; RANDOM MATRICES; ARBITRAGE PRICING THEORY AND FACTOR MODELS; FACTOR MODELS IN PRACTICE; OTHER APPROACHES TO VOLATILITY ESTIMATION; APPLICATION TO INVESTMENT STRATEGIES AND PROPRIETARY TRADING; SUMMARY; Chapter 7: Robust Estimation; THE INTUITION BEHIND ROBUST STATISTICS; ROBUST STATISTICS
ROBUST ESTIMATORS OF REGRESSIONSCONFIDENCE INTERVALS; SUMMARY; Chapter 8: Robust Frameworks for Estimation: Shrinkage, Bayesian Approaches, and the Black-Litterman Model; PRACTICAL PROBLEMS ENCOUNTERED IN MEAN-VARIANCE OPTIMIZATION; SHRINKAGE ESTIMATION; BAYESIAN APPROACHES; SUMMARY; Chapter 9: Mathematical and Numerical Optimization; MATHEMATICAL PROGRAMMING; NECESSARY CONDITIONS FOR OPTIMALITY FOR CONTINUOUS OPTIMIZATION PROBLEMS; OPTIMIZATION DUALITY THEORY; HOW DO OPTIMIZATION ALGORITHMS WORK?; SUMMARY; Chapter 10: Optimization Under Uncertainty; STOCHASTIC PROGRAMMING
DYNAMIC PROGRAMMINGROBUST OPTIMIZATION; SUMMARY; Chapter 11: Implementing and Solving Optimization Problems in Practice; OPTIMIZATION SOFTWARE; PRACTICAL CONSIDERATIONS WHEN USING OPTIMIZATION SOFTWARE; IMPLEMENTATION EXAMPLES; SPECIALIZED SOFTWARE FOR OPTIMIZATION UNDER UNCERTAINTY; SUMMARY; Chapter 12: Robust Modeling of Uncertain Parameters in Classical Mean-Variance Portfolio Optimization; PORTFOLIO RESAMPLING TECHNIQUES; ROBUST PORTFOLIO ALLOCATION; SOME PRACTICAL REMARKS ON ROBUST PORTFOLIO ALLOCATION MODELS; SUMMARY
Chapter 13: The Practice of Robust Portfolio Management: Recent Trends and New Directions
Record Nr. UNINA-9910830958203321
Hoboken, New Jersey, : John Wiley, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Robust portfolio optimization and management / / Frank J. Fabozzi ... [et al.]
Robust portfolio optimization and management / / Frank J. Fabozzi ... [et al.]
Pubbl/distr/stampa Hoboken, New Jersey, : John Wiley, c2007
Descrizione fisica 1 online resource (513 p.)
Disciplina 332.6
Altri autori (Persone) FabozziFrank J
Collana Frank J. Fabozzi series
Wiley finance
Soggetto topico Portfolio management
Robust optimization
Gestió de cartera
Soggetto genere / forma Llibres electrònics
ISBN 1-119-20217-5
1-280-85552-5
9786610855520
0-470-16489-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Robust Portfolio Optimization and Management; Contents; Preface; TEACHING USING THIS BOOK; ACKNOWLEDGMENTS; Chapter 1: Introduction; QUANTITATIVE TECHNIQUES IN THE INVESTMENT MANAGEMENT INDUSTRY; CENTRAL THEMES OF THIS BOOK; OVERVIEW OF THIS BOOK; Chapter 2: Mean-Variance Analysis and Modern Portfolio Theory; THE BENEFITS OF DIVERSIFICATION; MEAN-VARIANCE ANALYSIS: OVERVIEW; CLASSICAL FRAMEWORK FOR MEAN-VARIANCE OPTIMIZATION; THE CAPITAL MARKET LINE; SELECTION OF THE OPTIMAL PORTFOLIO WHEN THERE IS A RISK-FREE ASSET; MORE ON UTILITY FUNCTIONS: A GENERAL FRAMEWORK FOR PORTFOLIO CHOICE; SUMMARY
Chapter 3: Advances in the Theory of Portfolio Risk MeasuresDISPERSION AND DOWNSIDE MEASURES; PORTFOLIO SELECTION WITH HIGHER MOMENTS THROUGH EXPANSIONS OF UTILITY; POLYNOMIAL GOAL PROGRAMMING FOR PORTFOLIO OPTIMIZATION WITH HIGHER MOMENTS; SOME REMARKS ON THE ESTIMATION OF HIGHER MOMENTS; THE APPROACH OF MALEVERGNE AND SORNETTE; SUMMARY; Chapter 4: Portfolio Selection in Practice; PORTFOLIO CONSTRAINTS COMMONLY USED IN PRACTICE; INCORPORATING TRANSACTION COSTS IN ASSET-ALLOCATION MODELS; MULTIACCOUNT OPTIMIZATION; SUMMARY; Chapter 5: Classical Asset Pricing; DEFINITIONS
THEORETICAL AND ECONOMETRIC MODELSRANDOM WALK MODELS; GENERAL EQUILIBRIUM THEORIES; CAPITAL ASSET PRICING MODEL (CAPM); ARBITRAGE PRICING THEORY (APT); SUMMARY; Chapter 6: Forecasting Expected Return and Risk; DIVIDEND DISCOUNT AND RESIDUAL INCOME VALUATION MODELS; THE SAMPLE MEAN AND COVARIANCE ESTIMATORS; RANDOM MATRICES; ARBITRAGE PRICING THEORY AND FACTOR MODELS; FACTOR MODELS IN PRACTICE; OTHER APPROACHES TO VOLATILITY ESTIMATION; APPLICATION TO INVESTMENT STRATEGIES AND PROPRIETARY TRADING; SUMMARY; Chapter 7: Robust Estimation; THE INTUITION BEHIND ROBUST STATISTICS; ROBUST STATISTICS
ROBUST ESTIMATORS OF REGRESSIONSCONFIDENCE INTERVALS; SUMMARY; Chapter 8: Robust Frameworks for Estimation: Shrinkage, Bayesian Approaches, and the Black-Litterman Model; PRACTICAL PROBLEMS ENCOUNTERED IN MEAN-VARIANCE OPTIMIZATION; SHRINKAGE ESTIMATION; BAYESIAN APPROACHES; SUMMARY; Chapter 9: Mathematical and Numerical Optimization; MATHEMATICAL PROGRAMMING; NECESSARY CONDITIONS FOR OPTIMALITY FOR CONTINUOUS OPTIMIZATION PROBLEMS; OPTIMIZATION DUALITY THEORY; HOW DO OPTIMIZATION ALGORITHMS WORK?; SUMMARY; Chapter 10: Optimization Under Uncertainty; STOCHASTIC PROGRAMMING
DYNAMIC PROGRAMMINGROBUST OPTIMIZATION; SUMMARY; Chapter 11: Implementing and Solving Optimization Problems in Practice; OPTIMIZATION SOFTWARE; PRACTICAL CONSIDERATIONS WHEN USING OPTIMIZATION SOFTWARE; IMPLEMENTATION EXAMPLES; SPECIALIZED SOFTWARE FOR OPTIMIZATION UNDER UNCERTAINTY; SUMMARY; Chapter 12: Robust Modeling of Uncertain Parameters in Classical Mean-Variance Portfolio Optimization; PORTFOLIO RESAMPLING TECHNIQUES; ROBUST PORTFOLIO ALLOCATION; SOME PRACTICAL REMARKS ON ROBUST PORTFOLIO ALLOCATION MODELS; SUMMARY
Chapter 13: The Practice of Robust Portfolio Management: Recent Trends and New Directions
Record Nr. UNINA-9910841204703321
Hoboken, New Jersey, : John Wiley, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Robuste Optimierung Mit Quantilmassen Auf Globalen Metamodellen / / vorgelegt von Beate Rhein
Robuste Optimierung Mit Quantilmassen Auf Globalen Metamodellen / / vorgelegt von Beate Rhein
Autore Rhein Beate
Pubbl/distr/stampa Berlin : , : Logos Verlag, , [2014]
Descrizione fisica 1 online resource (ix, 189 pages)
Disciplina 519.6
Soggetto topico Robust optimization
Soggetto genere / forma Electronic books.
ISBN 3-8325-9152-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Record Nr. UNINA-9910468029403321
Rhein Beate  
Berlin : , : Logos Verlag, , [2014]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui