Age of system : understanding the development of modern social science / / Hunter Heyck |
Autore | Crowther-Heyck Hunter <1968-> |
Pubbl/distr/stampa | Baltimore, Maryland : , : Johns Hopkins University Press, , 2015 |
Descrizione fisica | 1 online resource (271 pages) |
Disciplina | 300.9/04 |
Soggetto topico |
Social sciences - United States - History - 20th century
Social sciences - History - 20th century Social sciences - Philosophy System theory - History |
Soggetto genere / forma | Electronic books. |
ISBN | 1-4214-1711-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910460461703321 |
Crowther-Heyck Hunter <1968-> | ||
Baltimore, Maryland : , : Johns Hopkins University Press, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Age of system : understanding the development of modern social science / / Hunter Heyck |
Autore | Crowther-Heyck Hunter <1968-> |
Pubbl/distr/stampa | Baltimore, Maryland : , : Johns Hopkins University Press, , 2015 |
Descrizione fisica | 1 online resource (271 pages) |
Disciplina | 300.9/04 |
Soggetto topico |
Social sciences - United States - History - 20th century
Social sciences - History - 20th century Social sciences - Philosophy System theory - History |
ISBN | 1-4214-1711-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910797355703321 |
Crowther-Heyck Hunter <1968-> | ||
Baltimore, Maryland : , : Johns Hopkins University Press, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Age of system : understanding the development of modern social science / / Hunter Heyck |
Autore | Crowther-Heyck Hunter <1968-> |
Pubbl/distr/stampa | Baltimore, Maryland : , : Johns Hopkins University Press, , 2015 |
Descrizione fisica | 1 online resource (271 pages) |
Disciplina | 300.9/04 |
Soggetto topico |
Social sciences - United States - History - 20th century
Social sciences - History - 20th century Social sciences - Philosophy System theory - History |
ISBN | 1-4214-1711-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910807885503321 |
Crowther-Heyck Hunter <1968-> | ||
Baltimore, Maryland : , : Johns Hopkins University Press, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Model reduction of complex dynamical systems / / Peter Benner [and five others] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer International Publishing, , [2021] |
Descrizione fisica | 1 online resource (416 pages) |
Disciplina | 309.173092 |
Collana | International Series of Numerical Mathematics |
Soggetto topico |
System theory - History
Dynamics - Statistical methods Teoria de sistemes Dinàmica |
Soggetto genere / forma |
Congressos
Llibres electrònics |
ISBN | 3-030-72983-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Contents -- *-20pt Methods and Techniques of Model Order Reduction -- On Bilinear Time-Domain Identification and Reduction in the Loewner Framework -- 1 Introduction -- 1.1 Outline of the Paper -- 2 System Theory Preliminaries -- 2.1 Linear Systems -- 2.2 Nonlinear Systems -- 3 The Loewner Framework -- 3.1 The Loewner Matrix -- 3.2 Construction of Interpolants -- 4 The Special Case of Bilinear Systems -- 4.1 The Growing Exponential Approach -- 4.2 The Kernel Separation Method -- 4.3 Identification of the Matrix N -- 4.4 A Separation Strategy for the second Kernel -- 4.5 The Loewner-Volterra Algorithm for Time-Domain Bilinear Identification and Reduction -- 4.6 Computational Effort of the Proposed Method -- 5 Numerical Examples -- 6 Conclusion -- References -- Balanced Truncation for Parametric Linear Systems Using Interpolation of Gramians: A Comparison of Algebraic and Geometric Approaches -- 1 Introduction -- 2 Balanced Truncation for Parametric Linear Systems and Standard Interpolation -- 2.1 Balanced Truncation -- 2.2 Interpolation of Gramians for Parametric Model Order Reduction -- 2.3 Offline-Online Decomposition -- 3 Interpolation on the Manifold mathcalS+(k,n) -- 3.1 A Quotient Geometry of mathcalS+(k,n) -- 3.2 Curve and Surface Interpolation on Manifolds -- 4 Numerical Examples -- 4.1 A model for heat conduction in solid material -- 4.2 An Anemometer Model -- 5 Conclusion -- References -- Toward Fitting Structured Nonlinear Systems by Means of Dynamic Mode Decomposition -- 1 Introduction -- 2 Dynamic Mode Decomposition -- 2.1 Dynamic Mode Decomposition with Control (DMDc) -- 2.2 Input-Output Dynamic Mode Decomposition -- 3 The Proposed Extensions -- 3.1 Bilinear Systems -- 3.2 Quadratic-Bilinear Systems -- 4 Numerical Experiments -- 4.1 The Viscous Burgers' Equation -- 4.2 Coupled van der Pol Oscillators.
5 Conclusion -- 6 Appendix -- 6.1 Computation of the Reduced-Order Matrices for the Quadratic-Bilinear Case -- References -- Clustering-Based Model Order Reduction for Nonlinear Network Systems -- 1 Introduction -- 2 Preliminaries -- 2.1 Graph Theory -- 2.2 Graph Partitions -- 2.3 Linear Multi-agent Systems -- 2.4 Clustering-Based Model Order Reduction -- 2.5 Model Reduction for Non-asymptotically Stable Systems -- 3 Clustering for Linear Multi-agent Systems -- 4 Clustering for Nonlinear Multi-agent Systems -- 4.1 Nonlinear Multi-agent Systems -- 4.2 Clustering by Projection -- 5 Numerical Examples -- 5.1 Small Network Example -- 5.2 van der Pol Oscillators -- 6 Conclusions -- References -- Adaptive Interpolatory MOR by Learning the Error Estimator in the Parameter Domain -- 1 Introduction -- 2 Interpolatory MOR -- 3 Greedy Method for Choosing Interpolation Points -- 4 Adaptive Training by Learning the Error Estimator in the Parameter Domain -- 4.1 Radial Basis Functions -- 4.2 Learning the Error Estimator over the Parameter Domain -- 4.3 Adaptive Choice of Interpolation Points with Surrogate Error Estimator -- 5 Numerical Examples -- 5.1 RLC Interconnect Circuit -- 5.2 Thermal Model -- 5.3 Dual-Mode Circular Waveguide Filter -- 6 Conclusion -- References -- A Link Between Gramian-Based Model Order Reduction and Moment Matching -- 1 Introduction -- 1.1 Balancing of LTI Systems -- 1.2 Rational Interpolation -- 1.3 Organization of Paper -- 2 Gramian Quadrature Algorithm -- 2.1 Approximating the Gramian via Runge-Kutta Methods -- 2.2 Computation of mathcalHj in Algorithm 1 -- 2.3 The Space Spanned by the Approximate Cholesky Factor Z -- 3 Approximate Balancing Transformation -- 4 Connection to Other Methods -- 4.1 Balanced POD -- 4.2 The ADI Iteration -- 5 Examples -- 6 Conclusion -- References. Comparing (Empirical-Gramian-Based) Model Order Reduction Algorithms -- 1 Introduction -- 2 Empirical Gramians for Linear Systems -- 2.1 Empirical Controllability Gramian -- 2.2 Empirical Observability Gramian -- 2.3 Empirical Cross Gramian -- 2.4 Parametric Empirical Gramians -- 3 Empirical-Gramian-Based Model Reduction -- 3.1 Empirical Poor Man -- 3.2 Empirical Approximate Balancing -- 3.3 Empirical Dominant Subspaces -- 3.4 Empirical Balanced Truncation -- 3.5 Empirical Balanced Gains -- 4 Approximate Norms -- 4.1 Signal Norms -- 4.2 System Norms -- 4.3 Modified Induced Norms -- 4.4 Parametric Norms -- 5 MORscore -- 6 Benchmark Comparison -- 6.1 emgr - EMpirical GRamian Framework -- 6.2 Thermal Block Benchmark -- 6.3 Numerical Results -- 7 Conclusion -- References -- Optimization-Based Parametric Model Order Reduction for the Application to the Frequency-Domain Analysis of Complex Systems -- 1 Introduction -- 2 Basics of the Global Basis and Krylov Subspace Method -- 2.1 Krylov Subspaces -- 2.2 Affine Matrix Decomposition -- 3 OGPA: Optimization-based Greedy Parameter Sampling -- 3.1 Grid-Free Sampling -- 3.2 A-Posteriori Model Quality Evaluation -- 4 Numerical Examples -- 4.1 Cantilever Solid Beam -- 4.2 Rear Axle Carrier -- 5 Summary -- References -- On Extended Model Order Reduction for Linear Time Delay Systems -- 1 Introduction -- 2 Problem Statement -- 3 Observability and Controllability Inequalities -- 4 Model order reduction by truncation -- 5 Feasibility of the Matrix Inequalities -- 6 Example: Delay Neural Fields -- 7 Application to Parameterized Model Reduction -- 7.1 Example -- 8 Conclusions -- References -- *-20pt Applications of Model Order Reduction -- A Practical Method for the Reductionpg of Linear Thermo-Mechanical Dynamic Equations -- 1 Introduction -- 2 The Thermo-Mechanical Model -- 2.1 Structural Mechanics. 2.2 Heat Transfer -- 2.3 Coupling of Equations -- 3 Derivation of the Reduction Algorithm -- 3.1 Model Order Reduction -- 3.2 Extraction of the Coupling Matrix -- 3.3 Algorithm -- 4 Implementation and Results -- 4.1 Modeling -- 4.2 Results -- 5 Conclusions -- References -- Reduced-Order Methods in Medical Imaging -- 1 Introduction -- 2 Methods -- 2.1 Medical Tomography -- 2.2 Proper Orthogonal Decomposition -- 2.3 Downsampled POD Method -- 2.4 Hybrid-POD Method -- 2.5 Implementation Details -- 3 Results -- 3.1 Test Tube with Fish Eggs -- 3.2 Down-Sampling Results -- 3.3 Hybrid-POD Method -- 4 Discussion -- 5 Conclusion -- References -- Efficient Krylov Subspace Techniques for Model Order Reduction of Automotive Structures in Vibroacoustic Applications -- 1 Introduction -- 2 Krylov-Based Model Order Reduction -- 2.1 Problem Definition -- 2.2 Reduction Framework -- 3 Numerical Implementation -- 4 Results -- 4.1 Generic System -- 4.2 Coupled System -- 5 Conclusions and Remarks -- References -- Model-Based Adaptive MOR Framework for Unsteady Flows Around Lifting Bodies -- 1 Introduction -- 2 Linear Reduced Basis Methods -- 3 Adaptive Approach -- 3.1 Physical Problem: Navier-Stokes Equations -- 3.2 Error Estimation -- 3.3 Sensitivity -- 4 Demonstration on Lifting Surfaces -- 4.1 Stalled NACA0012 Airfoil -- 4.2 High-Lift 30P30N Airfoil -- 5 Final Remarks and Outlook -- References -- Reduced Basis Methods for Quasilinear Elliptic PDEs with Applications to Permanent Magnet Synchronous Motors -- 1 Introduction -- 2 The Quasilinear Parametric Elliptic PDE -- 2.1 Abstract Formulation -- 3 Reduced Basis Approximation -- 3.1 An EIM-RB Method -- 3.2 Error Estimation -- 3.3 Computational Procedure -- 3.4 Numerical Results -- 4 Conclusion -- References -- Structure-Preserving Reduced- Order Modeling of Non-Traditional Shallow Water Equation -- 1 Introduction. 2 Shallow Water Equation -- 3 Full- Order Model -- 4 Reduced- Order Model -- 5 Numerical Results -- 5.1 Single-Layer Geostrophic Adjustment -- 5.2 Single-Layer Shear Instability -- 6 Conclusions -- References -- *-20pt Benchmarks and Software of Model Order Reduction -- A Non-stationary Thermal-Block Benchmark Model for Parametric Model Order Reduction -- 1 Introduction -- 2 Problem Description -- 3 Problem Variants -- 3.1 Four-Parameter LTI System -- 3.2 Single-Parameter LTI System -- 3.3 Non-parametric LTI System -- 4 Conclusion -- References -- Parametric Model Order Reduction Using pyMOR -- 1 Introduction -- 2 Software Design -- 3 Overview of Model Order Reduction Methods -- 3.1 Reduced Basis Method -- 3.2 System-Theoretic Methods -- 4 Numerical Results -- 4.1 Non-parametric Version -- 4.2 Single-Parameter Version -- 4.3 Four-Parameter Version -- 5 Conclusions -- References -- Matrix Equations, Sparse Solvers: M-M.E.S.S.-2.0.1-Philosophy, Features, and Application for (Parametric) Model Order Reduction -- 1 Introduction -- 1.1 A Brief History of M-M.E.S.S. -- 1.2 Structure of This Chapter -- 2 M-M.E.S.S.-Philosophy and Features -- 2.1 Available Solver Functions and Underlying Methods -- 3 Model Order Reduction in M-M.E.S.S. -- 3.1 IRKA and Classic Balanced Truncation -- 3.2 Further Variants of Balanced Truncation -- 4 Parametric Model Order Reduction Using M-M.E.S.S. -- 4.1 Piecewise MOR -- 4.2 Interpolation of Transfer Functions -- 5 Numerical Experiments -- References -- MORLAB-The Model Order Reduction LABoratory -- 1 Introduction -- 2 Code Design Principles -- 2.1 Toolbox Structure -- 2.2 Function Interfaces -- 2.3 Documentation -- 3 Additive System Decomposition Approach -- 3.1 Standard System Case -- 3.2 Descriptor System Case -- 4 Model Reduction with the MORLAB Toolbox -- 4.1 First-Order Methods -- 4.2 Second-Order Methods. 5 Numerical Examples. |
Record Nr. | UNISA-996466393103316 |
Cham, Switzerland : , : Springer International Publishing, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Model reduction of complex dynamical systems / / Peter Benner [and five others] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer International Publishing, , [2021] |
Descrizione fisica | 1 online resource (416 pages) |
Disciplina | 309.173092 |
Collana | International Series of Numerical Mathematics |
Soggetto topico |
System theory - History
Dynamics - Statistical methods Teoria de sistemes Dinàmica |
Soggetto genere / forma |
Congressos
Llibres electrònics |
ISBN | 3-030-72983-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Contents -- *-20pt Methods and Techniques of Model Order Reduction -- On Bilinear Time-Domain Identification and Reduction in the Loewner Framework -- 1 Introduction -- 1.1 Outline of the Paper -- 2 System Theory Preliminaries -- 2.1 Linear Systems -- 2.2 Nonlinear Systems -- 3 The Loewner Framework -- 3.1 The Loewner Matrix -- 3.2 Construction of Interpolants -- 4 The Special Case of Bilinear Systems -- 4.1 The Growing Exponential Approach -- 4.2 The Kernel Separation Method -- 4.3 Identification of the Matrix N -- 4.4 A Separation Strategy for the second Kernel -- 4.5 The Loewner-Volterra Algorithm for Time-Domain Bilinear Identification and Reduction -- 4.6 Computational Effort of the Proposed Method -- 5 Numerical Examples -- 6 Conclusion -- References -- Balanced Truncation for Parametric Linear Systems Using Interpolation of Gramians: A Comparison of Algebraic and Geometric Approaches -- 1 Introduction -- 2 Balanced Truncation for Parametric Linear Systems and Standard Interpolation -- 2.1 Balanced Truncation -- 2.2 Interpolation of Gramians for Parametric Model Order Reduction -- 2.3 Offline-Online Decomposition -- 3 Interpolation on the Manifold mathcalS+(k,n) -- 3.1 A Quotient Geometry of mathcalS+(k,n) -- 3.2 Curve and Surface Interpolation on Manifolds -- 4 Numerical Examples -- 4.1 A model for heat conduction in solid material -- 4.2 An Anemometer Model -- 5 Conclusion -- References -- Toward Fitting Structured Nonlinear Systems by Means of Dynamic Mode Decomposition -- 1 Introduction -- 2 Dynamic Mode Decomposition -- 2.1 Dynamic Mode Decomposition with Control (DMDc) -- 2.2 Input-Output Dynamic Mode Decomposition -- 3 The Proposed Extensions -- 3.1 Bilinear Systems -- 3.2 Quadratic-Bilinear Systems -- 4 Numerical Experiments -- 4.1 The Viscous Burgers' Equation -- 4.2 Coupled van der Pol Oscillators.
5 Conclusion -- 6 Appendix -- 6.1 Computation of the Reduced-Order Matrices for the Quadratic-Bilinear Case -- References -- Clustering-Based Model Order Reduction for Nonlinear Network Systems -- 1 Introduction -- 2 Preliminaries -- 2.1 Graph Theory -- 2.2 Graph Partitions -- 2.3 Linear Multi-agent Systems -- 2.4 Clustering-Based Model Order Reduction -- 2.5 Model Reduction for Non-asymptotically Stable Systems -- 3 Clustering for Linear Multi-agent Systems -- 4 Clustering for Nonlinear Multi-agent Systems -- 4.1 Nonlinear Multi-agent Systems -- 4.2 Clustering by Projection -- 5 Numerical Examples -- 5.1 Small Network Example -- 5.2 van der Pol Oscillators -- 6 Conclusions -- References -- Adaptive Interpolatory MOR by Learning the Error Estimator in the Parameter Domain -- 1 Introduction -- 2 Interpolatory MOR -- 3 Greedy Method for Choosing Interpolation Points -- 4 Adaptive Training by Learning the Error Estimator in the Parameter Domain -- 4.1 Radial Basis Functions -- 4.2 Learning the Error Estimator over the Parameter Domain -- 4.3 Adaptive Choice of Interpolation Points with Surrogate Error Estimator -- 5 Numerical Examples -- 5.1 RLC Interconnect Circuit -- 5.2 Thermal Model -- 5.3 Dual-Mode Circular Waveguide Filter -- 6 Conclusion -- References -- A Link Between Gramian-Based Model Order Reduction and Moment Matching -- 1 Introduction -- 1.1 Balancing of LTI Systems -- 1.2 Rational Interpolation -- 1.3 Organization of Paper -- 2 Gramian Quadrature Algorithm -- 2.1 Approximating the Gramian via Runge-Kutta Methods -- 2.2 Computation of mathcalHj in Algorithm 1 -- 2.3 The Space Spanned by the Approximate Cholesky Factor Z -- 3 Approximate Balancing Transformation -- 4 Connection to Other Methods -- 4.1 Balanced POD -- 4.2 The ADI Iteration -- 5 Examples -- 6 Conclusion -- References. Comparing (Empirical-Gramian-Based) Model Order Reduction Algorithms -- 1 Introduction -- 2 Empirical Gramians for Linear Systems -- 2.1 Empirical Controllability Gramian -- 2.2 Empirical Observability Gramian -- 2.3 Empirical Cross Gramian -- 2.4 Parametric Empirical Gramians -- 3 Empirical-Gramian-Based Model Reduction -- 3.1 Empirical Poor Man -- 3.2 Empirical Approximate Balancing -- 3.3 Empirical Dominant Subspaces -- 3.4 Empirical Balanced Truncation -- 3.5 Empirical Balanced Gains -- 4 Approximate Norms -- 4.1 Signal Norms -- 4.2 System Norms -- 4.3 Modified Induced Norms -- 4.4 Parametric Norms -- 5 MORscore -- 6 Benchmark Comparison -- 6.1 emgr - EMpirical GRamian Framework -- 6.2 Thermal Block Benchmark -- 6.3 Numerical Results -- 7 Conclusion -- References -- Optimization-Based Parametric Model Order Reduction for the Application to the Frequency-Domain Analysis of Complex Systems -- 1 Introduction -- 2 Basics of the Global Basis and Krylov Subspace Method -- 2.1 Krylov Subspaces -- 2.2 Affine Matrix Decomposition -- 3 OGPA: Optimization-based Greedy Parameter Sampling -- 3.1 Grid-Free Sampling -- 3.2 A-Posteriori Model Quality Evaluation -- 4 Numerical Examples -- 4.1 Cantilever Solid Beam -- 4.2 Rear Axle Carrier -- 5 Summary -- References -- On Extended Model Order Reduction for Linear Time Delay Systems -- 1 Introduction -- 2 Problem Statement -- 3 Observability and Controllability Inequalities -- 4 Model order reduction by truncation -- 5 Feasibility of the Matrix Inequalities -- 6 Example: Delay Neural Fields -- 7 Application to Parameterized Model Reduction -- 7.1 Example -- 8 Conclusions -- References -- *-20pt Applications of Model Order Reduction -- A Practical Method for the Reductionpg of Linear Thermo-Mechanical Dynamic Equations -- 1 Introduction -- 2 The Thermo-Mechanical Model -- 2.1 Structural Mechanics. 2.2 Heat Transfer -- 2.3 Coupling of Equations -- 3 Derivation of the Reduction Algorithm -- 3.1 Model Order Reduction -- 3.2 Extraction of the Coupling Matrix -- 3.3 Algorithm -- 4 Implementation and Results -- 4.1 Modeling -- 4.2 Results -- 5 Conclusions -- References -- Reduced-Order Methods in Medical Imaging -- 1 Introduction -- 2 Methods -- 2.1 Medical Tomography -- 2.2 Proper Orthogonal Decomposition -- 2.3 Downsampled POD Method -- 2.4 Hybrid-POD Method -- 2.5 Implementation Details -- 3 Results -- 3.1 Test Tube with Fish Eggs -- 3.2 Down-Sampling Results -- 3.3 Hybrid-POD Method -- 4 Discussion -- 5 Conclusion -- References -- Efficient Krylov Subspace Techniques for Model Order Reduction of Automotive Structures in Vibroacoustic Applications -- 1 Introduction -- 2 Krylov-Based Model Order Reduction -- 2.1 Problem Definition -- 2.2 Reduction Framework -- 3 Numerical Implementation -- 4 Results -- 4.1 Generic System -- 4.2 Coupled System -- 5 Conclusions and Remarks -- References -- Model-Based Adaptive MOR Framework for Unsteady Flows Around Lifting Bodies -- 1 Introduction -- 2 Linear Reduced Basis Methods -- 3 Adaptive Approach -- 3.1 Physical Problem: Navier-Stokes Equations -- 3.2 Error Estimation -- 3.3 Sensitivity -- 4 Demonstration on Lifting Surfaces -- 4.1 Stalled NACA0012 Airfoil -- 4.2 High-Lift 30P30N Airfoil -- 5 Final Remarks and Outlook -- References -- Reduced Basis Methods for Quasilinear Elliptic PDEs with Applications to Permanent Magnet Synchronous Motors -- 1 Introduction -- 2 The Quasilinear Parametric Elliptic PDE -- 2.1 Abstract Formulation -- 3 Reduced Basis Approximation -- 3.1 An EIM-RB Method -- 3.2 Error Estimation -- 3.3 Computational Procedure -- 3.4 Numerical Results -- 4 Conclusion -- References -- Structure-Preserving Reduced- Order Modeling of Non-Traditional Shallow Water Equation -- 1 Introduction. 2 Shallow Water Equation -- 3 Full- Order Model -- 4 Reduced- Order Model -- 5 Numerical Results -- 5.1 Single-Layer Geostrophic Adjustment -- 5.2 Single-Layer Shear Instability -- 6 Conclusions -- References -- *-20pt Benchmarks and Software of Model Order Reduction -- A Non-stationary Thermal-Block Benchmark Model for Parametric Model Order Reduction -- 1 Introduction -- 2 Problem Description -- 3 Problem Variants -- 3.1 Four-Parameter LTI System -- 3.2 Single-Parameter LTI System -- 3.3 Non-parametric LTI System -- 4 Conclusion -- References -- Parametric Model Order Reduction Using pyMOR -- 1 Introduction -- 2 Software Design -- 3 Overview of Model Order Reduction Methods -- 3.1 Reduced Basis Method -- 3.2 System-Theoretic Methods -- 4 Numerical Results -- 4.1 Non-parametric Version -- 4.2 Single-Parameter Version -- 4.3 Four-Parameter Version -- 5 Conclusions -- References -- Matrix Equations, Sparse Solvers: M-M.E.S.S.-2.0.1-Philosophy, Features, and Application for (Parametric) Model Order Reduction -- 1 Introduction -- 1.1 A Brief History of M-M.E.S.S. -- 1.2 Structure of This Chapter -- 2 M-M.E.S.S.-Philosophy and Features -- 2.1 Available Solver Functions and Underlying Methods -- 3 Model Order Reduction in M-M.E.S.S. -- 3.1 IRKA and Classic Balanced Truncation -- 3.2 Further Variants of Balanced Truncation -- 4 Parametric Model Order Reduction Using M-M.E.S.S. -- 4.1 Piecewise MOR -- 4.2 Interpolation of Transfer Functions -- 5 Numerical Experiments -- References -- MORLAB-The Model Order Reduction LABoratory -- 1 Introduction -- 2 Code Design Principles -- 2.1 Toolbox Structure -- 2.2 Function Interfaces -- 2.3 Documentation -- 3 Additive System Decomposition Approach -- 3.1 Standard System Case -- 3.2 Descriptor System Case -- 4 Model Reduction with the MORLAB Toolbox -- 4.1 First-Order Methods -- 4.2 Second-Order Methods. 5 Numerical Examples. |
Record Nr. | UNINA-9910495220303321 |
Cham, Switzerland : , : Springer International Publishing, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
The science of synthesis [[electronic resource] ] : exploring the social implications of general systems theory / / Debora Hammond |
Autore | Hammond Debora <1951-> |
Pubbl/distr/stampa | Boulder, : University Press of Colorado, c2003 |
Descrizione fisica | 1 online resource (333 p.) |
Disciplina | 003 |
Soggetto topico | System theory - History |
Soggetto genere / forma | Electronic books. |
ISBN |
1-280-50127-8
9786610501274 0-87081-797-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910450429703321 |
Hammond Debora <1951-> | ||
Boulder, : University Press of Colorado, c2003 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
The science of synthesis [[electronic resource] ] : exploring the social implications of general systems theory / / Debora Hammond |
Autore | Hammond Debora <1951-> |
Pubbl/distr/stampa | Boulder, : University Press of Colorado, c2003 |
Descrizione fisica | 1 online resource (333 p.) |
Disciplina | 003 |
Soggetto topico | System theory - History |
ISBN |
1-280-50127-8
9786610501274 0-87081-797-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910783382203321 |
Hammond Debora <1951-> | ||
Boulder, : University Press of Colorado, c2003 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
The science of synthesis : exploring the social implications of general systems theory / / Debora Hammond |
Autore | Hammond Debora <1951-> |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Boulder, : University Press of Colorado, c2003 |
Descrizione fisica | 1 online resource (718 p.) |
Disciplina | 003 |
Soggetto topico | System theory - History |
ISBN |
1-4571-1095-4
1-60732-070-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover Page; Title Page; Copyright Page; Dedication; Contents; Figures and Tables; FIGURES; TABLES; Preface to the Paperback Edition; Preface; NOTES; Acknowledgments; PROLOGUE The Quest for Peace in a Nuclear World; NOTES; ONE The Behavioral Sciences in Postwar America; THE SOCIETY FOR GENERAL SYSTEMS RESEARCH; CRITIQUE AND RESPONSE; HISTORICAL ROOTS OF SYSTEMS THINKING; DEFINING THE GENERAL-SYSTEMS APPROACH; THE FOUNDERS OF THE SOCIETY FOR GENERAL SYSTEMS RESEARCH; EVALUATING THE HERITAGE OF GENERAL-SYSTEMS THOUGHT; NOTES; PART I The Sources of Systems Thinking
TWO The Science of Life: Organization in Living Systems VITALISM AND MECHANISM; THE EMERGENCE OF ORGANICISM; THE CLAUDE BERNARD SCHOOL OF PHYSIOLOGY; NOTES; THREE Engineering, Management, and the Military-Industrial Complex; OPERATIONS RESEARCH, SYSTEMS ANALYSIS, AND MANAGEMENT SCIENCE; NOTES; FOUR Cybernetics and Information Theory: Feedback and Homeostasis; FEEDBACK: CONCEPTUAL ORIGINS; CYBERNETICS: FEEDBACK IN THE TWENTIETH CENTURY; INFORMATION AND COMMUNICATION THEORY; TWO STRANDS OF FEEDBACK THOUGHT; CYBERNETICS AND SOCIAL THEORY; NOTES FIVE Ecology and Social Theory: Structure, Function, and Evolution THE EVOLUTION OF ECOLOGY; PERSPECTIVES ON SOCIAL THEORY; THE ORIGINS OF MODERN SOCIAL THOUGHT; THE INTERPRETIVE TRADITION; PARSONIAN FUNCTIONALISM; NOTES; PART II The Founders of General Systems Research; SIX Ludwig von Bertalanffy (1901-1972): General Systems Theory; VIENNA: GREETING A NEW CENTURY; ORGANISMIC BIOLOGY; OPEN SYSTEMS; GENERAL SYSTEM(S) THEORY; CYBERNETICS AND GST: MECHANISTIC VERSUS ORGANISMIC MODELS; MATHEMATICS AND ISOMORPHIC RELATIONSHIPS; TOWARD A NEW IMAGE OF HUMANITY: GST IN PSYCHOLOGY AND SOCIAL SCIENCE BEYOND THE ROBOT IMAGE CULTURE: THE SYMBOLIC DIMENSION; CRITIQUES OF BERTALANFFY AND GST; CONCLUSION; NOTES; SEVEN The Chicago Behavioral Science Committee; RALPH GERARD (1900-1974); Neurophysiology and the Organismic Conception of Society; A Life of Ambition, Genius, and Passion; Neurophysiology and Information Theory; The Organismic Conception of Society; The Role of Science; ANATOL RAPOPORT (b. 1911); Mathematical Biology, Game Theory, and the Prisoner's Dilemma; From Russia to Chicago; Intellectual Passions; General Systems Theory; The Symbolic Dimension: Values and General Semantics Game Theory and Conflict Resolution Enlightenment and Progress; JAMES GRIER MILLER (b. 1916); The Behavioral Sciences and Living Systems Theory; Life and Thought; Chicago; Michigan and Beyond; The Committee on the Behavioral Sciences; The Mental Health Research Institute; Living Systems Theory; CONCLUDING REFLECTIONS; NOTES; EIGHT Kenneth Boulding (1910-1993): Economics, Ecology, and Peace; FROM LIVERPOOL TO BOULDER: THE QUEST FOR PEACE AND JUSTICE; MICHIGAN: THE FORD FOUNDATION AND THE BEHAVIORAL SCIENCES; THE CHALLENGE OF COMMUNISM; TOWARD AN INTEGRATED THEORY OF SOCIAL INTERACTION CONFLICT RESOLUTION AND THE INTEGRATIVE CONCEPT |
Record Nr. | UNINA-9910822916403321 |
Hammond Debora <1951-> | ||
Boulder, : University Press of Colorado, c2003 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
The science of synthesis : exploring the social implications of general systems theory / / Debora Hammond |
Autore | Hammond Debora <1951-> |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Boulder, : University Press of Colorado, c2003 |
Descrizione fisica | 1 online resource (333 p.) |
Disciplina | 003 |
Soggetto topico | System theory - History |
ISBN |
1-280-50127-8
9786610501274 0-87081-797-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Intro -- Contents -- Figures and Tables -- Preface -- Acknowledgments -- Prologue: The Quest for Peace in a Nuclear World -- 1: The Behavioral Sciences in Postwar America -- Part I: The Sources of Systems Thinking -- 2: The Science of Life: Organization in Living Systems -- 3: Engineering, Management, and the Military-Industrial Complex -- 4: Cybernetics and Information Theory: Feedback and Homeostasis -- 5: Ecology and Social Theory: Structure, Function, and Evolution -- Part II: The Founders of General Systems Research -- 6: Ludwig von Bertalanffy (1901-1972): General Systems Theory -- 7: The Chicago Behavioral Science Committee -- 8: Kenneth Boulding (1910 -1993): Economics, Ecology, and Peace -- Part III: Evolution and Evaluation -- 9: The Society for General Systems Research: Establishment and Development -- Epilogue -- Bibliography -- Index. |
Record Nr. | UNINA-9910824080603321 |
Hammond Debora <1951-> | ||
Boulder, : University Press of Colorado, c2003 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|