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Novel mathematics inspired by industrial challenges / / edited by Michael Günther, Wil Schilders
| Novel mathematics inspired by industrial challenges / / edited by Michael Günther, Wil Schilders |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (348 pages) |
| Disciplina | 620.00151 |
| Collana | Mathematics in Industry |
| Soggetto topico |
Industrial engineering - Mathematics
Enginyeria industrial Matemàtica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-96173-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgements -- Contents -- List of Contributors -- Part I Computational Science and Engineering -- Multirate Schemes - An Answer of Numerical Analysis to a Demand from Applications -- 1 Introduction -- 2 Strategies for multirate and convergence -- 2.1 Combining extra- and interpolation for multirate properly -- 2.2 Linear multistep methods -- 2.3 Runge-Kutta schemes -- 2.4 Overview on multirate strategies -- 3 Dynamic iteration and multiphysics -- 4 Applications in circuit simulation -- 4.1 Partitioned network modeling -- 4.2 Multirate schemes -- 4.3 Thermal-electric coupling-silicon on insulator -- 5 Molecular dynamics -- 6 Conclusion and outlook -- References -- Electronic Circuit Simulation and the Development of New Krylov-Subspace Methods -- 1 Introduction -- 1.1 The Central Numerical Task in Circuit Simulation -- 1.2 Large-Scale Matrix Computations and Krylov-Subspace Methods -- 1.3 The Special Case of Circuit Interconnect Analysis -- 1.4 Outline -- 2 From AWE to the PVL Algorithm -- 2.1 Elmore Delay and AWE -- 2.2 PVL Algorithm -- 2.3 An Example -- 3 Krylov Subspaces with Multiple Starting Vectors -- 3.1 Block Krylov Subspaces -- 3.2 Block Lanczos Method -- 4 A New Approch: the Band Lanczos Method -- 4.1 Defining Properties -- 4.2 Reduced-Order Models and Matrix Padé Approximants -- 4.3 An Actual Algorithm -- 5 Structure Preservation -- 6 Band Arnoldi Process -- 7 Concluding Remarks -- References -- Modular time integration of coupled problems in system dynamics -- 1 Introduction -- 2 Model based simulation of pantograph-catenary interaction -- Catenary first -- Pantograph first -- Engineering application -- Mathematical aspects of modular simulation -- 3 Modular time integration: The ODE case -- 4 Modular time integration: The DAE case -- Preconditioning -- Related work -- References.
Differential-Algebraic Equations and Beyond: From Smooth to Nonsmooth Constrained Dynamical Systems -- 1 Introduction -- 2 Differential-algebraic equations -- 2.1 How the topic of DAEs emerged -- 2.2 Electrical circuits -- 2.3 Constrained mechanical systems -- 3 Major results and numerical methods -- 3.1 Perturbation index and implicit Runge-Kutta methods -- 3.2 DAEs and differential geometry -- 3.3 Singularly perturbed problems and regularization -- 3.4 General fully implicit DAEs -- 3.5 Constrained Hamiltonian systems -- 4 Beyond classical DAEs -- 4.1 Navier-Stokes incompressible -- 4.2 Stochastic DAEs -- 5 Nonsmooth dynamical systems -- 5.1 A short zoology -- 5.1.1 Unilateral constraints and Moreau's sweeping process -- 5.1.2 Projected dynamical systems -- 5.1.3 Variational inequalities -- 5.1.4 Complementarity dynamic systems -- 5.1.5 Differential variational inequalities -- 5.1.6 Derivatives of functions of bounded variation -- 5.1.7 Measure differential equations and measure differential inclusions -- 5.1.8 A very diverse field -- 5.2 Nonsmooth mechanical systems with impacts -- 5.2.1 Hamilton's principle as a differential inclusion -- 5.2.2 Forces and Accelerations are Measures -- 5.2.3 Existence of Lagrangian multipliers -- 5.3 Numerical solution strategies -- 5.3.1 Event-driven and event-capturing methods -- 5.3.2 Nonsmooth time-stepping -- 5.3.3 Dealing with collisions -- 5.3.4 Dealing with complementarity -- 5.3.5 Augmented Lagrangian and projected Gauß-Seidel -- 5.3.6 Recent developments -- Summary -- Acknowledgments -- References -- Fast Numerical Methods to Compute Periodic Solutions of Electromagnetic Models -- 1 Starting Point in Electrical Engineering -- 1.1 Methodology Motivation from a Toy Model -- 2 Statement of the Problem. Mathematical Modelling -- 3 Existing Mathematics. 4 A Novel and Efficient Methodology to Solve the Problem -- 4.1 Reduced Problem -- 4.2 Approximating the Initial Currents in Rotor Bars -- 4.3 Numerical Results -- 5 Current State of Art -- 6 Conclusions -- References -- Challenges in the Simulation of Radio Frequency Circuits -- 1 Introduction -- 2 Network equations -- 3 Simulation of Radio Frequency Circuits -- 4 The Embedding Technique -- References -- An integrated data-driven computational pipeline with model order reduction for industrial and applied mathematics -- 1 Introduction -- 2 From digital twin to real-time analysis -- 3 Advanced geometrical parametrization with automatic CAD files interface -- 4 Parameter space dimensionality reduction -- 5 Data driven model order reduction -- 5.1 Dynamic mode decomposition -- 5.2 Proper orthogonal decomposition with interpolation -- 6 Simulation-based design optimization framework -- 7 Conclusions and perspectives -- Acknowledgment -- Competing Interests -- Ethics approval and consent to participate -- Availability of data and materials -- Funding acknowledgements -- References -- From rotating fluid masses and Ziegler's paradox to Pontryagin- and Krein spaces and bifurcation theory -- 1 Historical background -- 1.1 Stability of Kelvin's gyrostat and spinning artillery shells filled with liquid -- 1.2 Secular instability of the Maclaurin spheroids by viscous and radiative losses -- 1.3 Brouwer's rotating vessel -- Stability and instability without friction -- Stability of triangular libration points L4 and L5 -- Destabilization by friction -- Indefinite damping and PT-symmetry -- 2 Ziegler's paradox -- 3 Bottema's analysis of Ziegler's paradox -- 4 An umbrella without dynamics -- 5 Hopf bifurcation near 1:1 resonance and structural stability -- 6 Abscissa minimization, robust stability and heavy damping -- Abscissa minimization and multiple roots. Swallowtail singularity as the global minimizer of the abscissa -- References -- Part II Data Analysis and finance -- Topological Data Analysis -- 1 Introduction -- About this paper -- 2 The need of new mathematical and algorithmic tools -- 3 The emergence of geometric inference and persistent homology -- 3.1 Distance-based geometric inference -- Covers and nerves to compute the topology of union of balls -- Another use of covers and nerves: the Mapper algorithm -- Distance-based inference with noisy data -- 3.2 Persistent homology -- Persistent homology for machine learning -- The algorithmic and software challenges of TDA -- 4 New research directions -- 5 Conclusion -- A brief glossary -- References -- Prediction Models with Functional Data for Variables related with Energy Production -- 1 Introduction -- 2 Functional Data Models -- 2.1 Application to Iberian Market Energy -- 3 Variable selection -- 3.1 The selection algorithm -- 3.2 Numerical results -- 4 Real data application -- 4.1 Energy Market Demand -- 4.2 Energy Price -- 5 Conclusions -- References -- Quantization Methods for Stochastic Differential Equations -- 1 Introduction -- 1.1 Finance and Stochastic Differential Equations -- 1.2 Quantization -- 1.3 Outline of the Paper -- 2 Vector Quantization -- 2.1 Optimal Quantization Grids -- 2.2 Numerical Methods -- 2.2.1 Lloyd's Algorithm -- 2.2.2 The Newton-Raphson Algorithm -- 3 Recursive Marginal Quantization -- 3.1 Numerical Methods -- 3.2 The Zero Boundary -- 3.3 Higher-order Updates -- 4 Recursive Marginal Quantization for Stochastic Volatility Models -- 5 Numerical Results -- 5.1 Numerical Convergence Results -- 5.2 An Example of a Local Volatility Model -- 5.3 Stochastic Volatility Models -- 5.4 Calibration -- 6 Conclusion -- References -- Index. |
| Record Nr. | UNISA-996466419003316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Novel mathematics inspired by industrial challenges / / edited by Michael Günther, Wil Schilders
| Novel mathematics inspired by industrial challenges / / edited by Michael Günther, Wil Schilders |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (348 pages) |
| Disciplina | 620.00151 |
| Collana | Mathematics in Industry |
| Soggetto topico |
Industrial engineering - Mathematics
Enginyeria industrial Matemàtica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-96173-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgements -- Contents -- List of Contributors -- Part I Computational Science and Engineering -- Multirate Schemes - An Answer of Numerical Analysis to a Demand from Applications -- 1 Introduction -- 2 Strategies for multirate and convergence -- 2.1 Combining extra- and interpolation for multirate properly -- 2.2 Linear multistep methods -- 2.3 Runge-Kutta schemes -- 2.4 Overview on multirate strategies -- 3 Dynamic iteration and multiphysics -- 4 Applications in circuit simulation -- 4.1 Partitioned network modeling -- 4.2 Multirate schemes -- 4.3 Thermal-electric coupling-silicon on insulator -- 5 Molecular dynamics -- 6 Conclusion and outlook -- References -- Electronic Circuit Simulation and the Development of New Krylov-Subspace Methods -- 1 Introduction -- 1.1 The Central Numerical Task in Circuit Simulation -- 1.2 Large-Scale Matrix Computations and Krylov-Subspace Methods -- 1.3 The Special Case of Circuit Interconnect Analysis -- 1.4 Outline -- 2 From AWE to the PVL Algorithm -- 2.1 Elmore Delay and AWE -- 2.2 PVL Algorithm -- 2.3 An Example -- 3 Krylov Subspaces with Multiple Starting Vectors -- 3.1 Block Krylov Subspaces -- 3.2 Block Lanczos Method -- 4 A New Approch: the Band Lanczos Method -- 4.1 Defining Properties -- 4.2 Reduced-Order Models and Matrix Padé Approximants -- 4.3 An Actual Algorithm -- 5 Structure Preservation -- 6 Band Arnoldi Process -- 7 Concluding Remarks -- References -- Modular time integration of coupled problems in system dynamics -- 1 Introduction -- 2 Model based simulation of pantograph-catenary interaction -- Catenary first -- Pantograph first -- Engineering application -- Mathematical aspects of modular simulation -- 3 Modular time integration: The ODE case -- 4 Modular time integration: The DAE case -- Preconditioning -- Related work -- References.
Differential-Algebraic Equations and Beyond: From Smooth to Nonsmooth Constrained Dynamical Systems -- 1 Introduction -- 2 Differential-algebraic equations -- 2.1 How the topic of DAEs emerged -- 2.2 Electrical circuits -- 2.3 Constrained mechanical systems -- 3 Major results and numerical methods -- 3.1 Perturbation index and implicit Runge-Kutta methods -- 3.2 DAEs and differential geometry -- 3.3 Singularly perturbed problems and regularization -- 3.4 General fully implicit DAEs -- 3.5 Constrained Hamiltonian systems -- 4 Beyond classical DAEs -- 4.1 Navier-Stokes incompressible -- 4.2 Stochastic DAEs -- 5 Nonsmooth dynamical systems -- 5.1 A short zoology -- 5.1.1 Unilateral constraints and Moreau's sweeping process -- 5.1.2 Projected dynamical systems -- 5.1.3 Variational inequalities -- 5.1.4 Complementarity dynamic systems -- 5.1.5 Differential variational inequalities -- 5.1.6 Derivatives of functions of bounded variation -- 5.1.7 Measure differential equations and measure differential inclusions -- 5.1.8 A very diverse field -- 5.2 Nonsmooth mechanical systems with impacts -- 5.2.1 Hamilton's principle as a differential inclusion -- 5.2.2 Forces and Accelerations are Measures -- 5.2.3 Existence of Lagrangian multipliers -- 5.3 Numerical solution strategies -- 5.3.1 Event-driven and event-capturing methods -- 5.3.2 Nonsmooth time-stepping -- 5.3.3 Dealing with collisions -- 5.3.4 Dealing with complementarity -- 5.3.5 Augmented Lagrangian and projected Gauß-Seidel -- 5.3.6 Recent developments -- Summary -- Acknowledgments -- References -- Fast Numerical Methods to Compute Periodic Solutions of Electromagnetic Models -- 1 Starting Point in Electrical Engineering -- 1.1 Methodology Motivation from a Toy Model -- 2 Statement of the Problem. Mathematical Modelling -- 3 Existing Mathematics. 4 A Novel and Efficient Methodology to Solve the Problem -- 4.1 Reduced Problem -- 4.2 Approximating the Initial Currents in Rotor Bars -- 4.3 Numerical Results -- 5 Current State of Art -- 6 Conclusions -- References -- Challenges in the Simulation of Radio Frequency Circuits -- 1 Introduction -- 2 Network equations -- 3 Simulation of Radio Frequency Circuits -- 4 The Embedding Technique -- References -- An integrated data-driven computational pipeline with model order reduction for industrial and applied mathematics -- 1 Introduction -- 2 From digital twin to real-time analysis -- 3 Advanced geometrical parametrization with automatic CAD files interface -- 4 Parameter space dimensionality reduction -- 5 Data driven model order reduction -- 5.1 Dynamic mode decomposition -- 5.2 Proper orthogonal decomposition with interpolation -- 6 Simulation-based design optimization framework -- 7 Conclusions and perspectives -- Acknowledgment -- Competing Interests -- Ethics approval and consent to participate -- Availability of data and materials -- Funding acknowledgements -- References -- From rotating fluid masses and Ziegler's paradox to Pontryagin- and Krein spaces and bifurcation theory -- 1 Historical background -- 1.1 Stability of Kelvin's gyrostat and spinning artillery shells filled with liquid -- 1.2 Secular instability of the Maclaurin spheroids by viscous and radiative losses -- 1.3 Brouwer's rotating vessel -- Stability and instability without friction -- Stability of triangular libration points L4 and L5 -- Destabilization by friction -- Indefinite damping and PT-symmetry -- 2 Ziegler's paradox -- 3 Bottema's analysis of Ziegler's paradox -- 4 An umbrella without dynamics -- 5 Hopf bifurcation near 1:1 resonance and structural stability -- 6 Abscissa minimization, robust stability and heavy damping -- Abscissa minimization and multiple roots. Swallowtail singularity as the global minimizer of the abscissa -- References -- Part II Data Analysis and finance -- Topological Data Analysis -- 1 Introduction -- About this paper -- 2 The need of new mathematical and algorithmic tools -- 3 The emergence of geometric inference and persistent homology -- 3.1 Distance-based geometric inference -- Covers and nerves to compute the topology of union of balls -- Another use of covers and nerves: the Mapper algorithm -- Distance-based inference with noisy data -- 3.2 Persistent homology -- Persistent homology for machine learning -- The algorithmic and software challenges of TDA -- 4 New research directions -- 5 Conclusion -- A brief glossary -- References -- Prediction Models with Functional Data for Variables related with Energy Production -- 1 Introduction -- 2 Functional Data Models -- 2.1 Application to Iberian Market Energy -- 3 Variable selection -- 3.1 The selection algorithm -- 3.2 Numerical results -- 4 Real data application -- 4.1 Energy Market Demand -- 4.2 Energy Price -- 5 Conclusions -- References -- Quantization Methods for Stochastic Differential Equations -- 1 Introduction -- 1.1 Finance and Stochastic Differential Equations -- 1.2 Quantization -- 1.3 Outline of the Paper -- 2 Vector Quantization -- 2.1 Optimal Quantization Grids -- 2.2 Numerical Methods -- 2.2.1 Lloyd's Algorithm -- 2.2.2 The Newton-Raphson Algorithm -- 3 Recursive Marginal Quantization -- 3.1 Numerical Methods -- 3.2 The Zero Boundary -- 3.3 Higher-order Updates -- 4 Recursive Marginal Quantization for Stochastic Volatility Models -- 5 Numerical Results -- 5.1 Numerical Convergence Results -- 5.2 An Example of a Local Volatility Model -- 5.3 Stochastic Volatility Models -- 5.4 Calibration -- 6 Conclusion -- References -- Index. |
| Record Nr. | UNINA-9910558497203321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Scientific Computing in Electrical Engineering : SCEE 2022, Amsterdam, the Netherlands, July 2022
| Scientific Computing in Electrical Engineering : SCEE 2022, Amsterdam, the Netherlands, July 2022 |
| Autore | van Beurden Martijn |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (239 pages) |
| Altri autori (Persone) |
BudkoNeil V
CiuprinaGabriela SchildersWil BansalHarshit BarbulescuRuxandra |
| Collana | Mathematics in Industry Series |
| ISBN | 3-031-54517-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Acknowledgement -- Contents -- Circuit Simulation and Design -- Harmonic Balance with Small Signal Perturbation -- 1 Introduction -- 2 Small Signal Distortion of a Periodic Steady State -- 3 Real-Valued Signals -- 4 Discretization -- 5 Relation to Two-Tone Harmonic Balance (HB) -- 6 Extraction of X-Parameter Models -- 7 Numerical Test -- 8 Conclusion -- References -- A Projective-Based Formalism for Symmetric Modeling of Electrical Circuits -- 1 Introduction -- 2 Nodal Models -- 3 Index Analysis -- 4 Other Applications of Homogeneous Models -- 5 Concluding Remarks -- References -- A Port-Hamiltonian, Index 1, Structurally Amenable Electrical Circuit Formulation -- 1 Summary -- 2 Constituents -- 3 Circuit Equations -- 4 Graph Linear Algebra -- 5 The Compact port-Hamiltonian DAE -- 6 Conclusion -- Appendix -- References -- Device Simulation -- Simulation of a GNR-FET -- 1 Introduction -- 2 Mathematical Model -- 3 Numerical Results -- References -- Computational Electromagnetics -- Solution of Time-Harmonic Maxwell's Equations by a Domain Decomposition Method Based on PML Transmission Conditions -- 1 Introduction -- 2 Mathematical Model -- 2.1 PML Formulation -- 2.2 Domain Decomposition Preconditioner -- 3 Numerical Results -- 4 Conclusions -- References -- Validation-Oriented Modelling of Electrical Stimulation Chambers for Cartilage Tissue Engineering -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusion -- References -- Matrix-Free Parallel Preconditioned Iterative Solvers for the 2D Helmholtz Equation Discretized with Finite Differences -- 1 Introduction -- 2 Mathematical Model -- 3 Numerical Methods -- 3.1 Discretization -- 3.2 Preconditioned Krylov Subspace Methods -- 3.3 Matrix-Free Parallel Implementation -- 4 Numerical Experiments -- 5 Conclusions -- References.
Implementation and Validation of the Dual Full-Wave E and H Formulations with Electric Circuit Element Boundary Conditions -- 1 Introduction -- 2 H-Based Formulation for ECE and Frequency Domain FW Field -- 3 MQS Test - Conducting Cylinder -- 4 FW Test - Coaxial Cable -- 5 Conclusions -- References -- A Yee-Like Finite Element Scheme for Maxwell's Equations on Hybrid Grids with Mass-Lumping -- 1 Introduction -- 2 Description of the Problem -- 3 A Finite Element Method with Mass-Lumping -- 4 Main Results -- 5 Implementation -- 6 Numerical Illustration -- References -- Time-Domain Electromagnetic Modeling and Simulation of a Nonlinear Electro-Optical Mixer -- 1 Introduction -- 2 Physical Model and Theory -- 3 Results -- 4 Conclusion -- References -- Iterative Charge-Update Schemes for Electro-quasistatic Problems -- 1 Introduction -- 2 Problem Description -- 3 The Iterative Charge-Update Scheme -- 4 Numerical Explorations -- 4.1 Reference Simulation -- 4.2 The Case of Perfect Electric Conductors -- 4.3 Numerical Convergence Study -- 5 Conclusions -- References -- Electrostatic Forces on Conductors with Boundary Element Methods in 3D -- 1 Introduction -- 1.1 Floating Potential Model Problem -- 2 Forces via Shape Differentiation -- 3 Numerical Experiments -- 3.1 Implementation -- 3.2 Force and Torque Convergence Results -- 4 Conclusion -- References -- 25 Years Computational Electromagnetics @ SCEE -- 1 General Introduction -- 1.1 Finite Element Method -- 1.2 Finite Integration Technique -- 2 Exemplary Contributions from the Previous Conferences -- 3 Conclusion -- References -- Mathematical and Computational Methods -- Machine Learning Techniques to Model Highly Nonlinear Multi-field Dynamics -- 1 Introduction -- 2 The Bridge Benchmark Dynamics -- 3 Neural Networks Models -- 4 Results -- 5 Conclusions -- References. Port-Hamiltonian Systems' Modelling in Electrical Engineering -- 1 Port-Hamiltonian Systems Modelling in a Nutshell -- 2 pH-DAE Systems -- 3 Electrical Networks -- 4 Electromagnetic Devices -- 5 Coupled EM/circuit System -- 6 Simulation Strategies -- 7 Conclusions -- References -- Large-Scale H2 Optimization for Thermo-Mechanical Reliability of Electronics -- 1 Introduction -- 2 Reduction in the H2 Norm -- 3 General H2 Optimization -- 3.1 Gradient-Based Optimization -- 3.2 Approximating the Gradient -- 4 Numerical Comparison -- 5 Conclusions -- References -- Data-Driven Model Order Reduction of Parameterized Dissipative Linear Time-Invariant Systems -- 1 Introduction -- 2 Background and Notation -- 2.1 Problem Statement -- 2.2 Model Structure -- 3 Model Dissipativity Conditions -- 4 Model Generation -- 5 A Test Case -- 6 Conclusions -- References -- Splitting Methods for Linear Coupled Field-Circuit DAEs -- 1 Introduction -- 2 Coupled Field-Circuit Modeling -- 2.1 Coupled Index Analysis -- 3 Operator Splitting Approach -- 3.1 Subsystem Properties -- 3.2 Convergence Analysis -- 4 Numerical Results -- 5 Conclusions and Outlook -- References -- Structure-Preserving Identification of Port-Hamiltonian Systems-A Sensitivity-Based Approach -- 1 Introduction -- 2 Sensitivity Approach -- 3 Gradient-Descent Algorithm -- 4 Proof of Concept -- 5 Numerical Results -- 6 Conclusion and Outlook -- References -- BG Approximations of Multiphysics pH Distributed Systems with Finite Number of Ports -- 1 Introduction -- 2 Devices with ECE BC -- 3 Interconnection of the pH Systems -- 4 Discrete Models of Distributed PH-ECE Systems -- 5 Conclusions -- References -- Bilinear Realization from I/O Data with NNs -- 1 Introduction -- 2 The Bilinear Realization Framework -- 2.1 The Bilinear Markov Parameters -- 2.2 The Bilinear Hankel Matrix -- 2.3 Bilinear Realization Algorithm. 3 From a Single Data Sequence to Bilinear Realization -- 4 Conclusion -- References -- Coupling FMUs to Electric Circuits in Multiphysical System Simulation Software for the Development of Electric Vehicles -- 1 Introduction -- 2 Multiphysical System Formulation -- 3 Functional Mock-Up Units (FMUs) -- 4 Co-simulation for Coupled Network DAEs -- 5 Numerical Example -- 6 Conclusion and Outlook -- References -- Battery Module Simulation Based on Model Exchange FMU Cell Models and Its Application in Multi-physical System Simulation Software -- 1 Introduction -- 2 Mathematical Model -- 3 Hierarchical Approach -- 4 Numerical Example -- 5 Conclusion -- References -- Sensitivity Analysis of Random Linear Dynamical Models Using System Norms -- 1 Introduction -- 2 Random Linear Dynamical Systems -- 3 Stochastic Galerkin Systems and Norms -- 4 Sensitivity Measures -- 5 Illustrative Example -- 6 Summary -- References -- Compact Modelling of Wafer Level Chip-Scale Package via Parametric Model Order Reduction -- 1 Introduction -- 2 Case Study: Wafer Level Chip-Scale Package -- 3 Parametric Model Order Reduction -- 3.1 Arising Parametric System -- 3.2 Moment Matching and Subspace Definition -- 4 Numerical Results -- 5 Conclusion and Outlook -- References -- Author Index. |
| Record Nr. | UNINA-9910842286203321 |
van Beurden Martijn
|
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| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Scientific computing in electrical engineering : SCEE 2020, Eindhoven, the Netherlands, February 2020 / / Martijn van Beurden, Neil Budko and Wil Schilders, editors
| Scientific computing in electrical engineering : SCEE 2020, Eindhoven, the Netherlands, February 2020 / / Martijn van Beurden, Neil Budko and Wil Schilders, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer International Publishing, , [2022] |
| Descrizione fisica | 1 online resource (305 pages) |
| Disciplina | 621.3 |
| Collana | Mathematics in Industry |
| Soggetto topico |
Electrical engineering - Data processing
Electrical engineering - Mathematical models Enginyeria elèctrica Models matemàtics Processament de dades |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-84238-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466557903316 |
| Cham, Switzerland : , : Springer International Publishing, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Scientific computing in electrical engineering : SCEE 2020, Eindhoven, the Netherlands, February 2020 / / Martijn van Beurden, Neil Budko and Wil Schilders, editors
| Scientific computing in electrical engineering : SCEE 2020, Eindhoven, the Netherlands, February 2020 / / Martijn van Beurden, Neil Budko and Wil Schilders, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer International Publishing, , [2022] |
| Descrizione fisica | 1 online resource (305 pages) |
| Disciplina | 621.3 |
| Collana | Mathematics in Industry |
| Soggetto topico |
Electrical engineering - Data processing
Electrical engineering - Mathematical models Enginyeria elèctrica Models matemàtics Processament de dades |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-84238-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910552713403321 |
| Cham, Switzerland : , : Springer International Publishing, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||