Roland Pulch

发表

Robust Shape Optimization under Uncertainties in Device Materials, Geometry and Boundary Conditions

Andreas Bartel, E. Jan W. ter Maten, Wim Schoenmaker, 2019 .

Sparse Representations for Uncertainty Quantification of a Coupled Field-Circuit Problem pdf

Sebastian Schöps, Roland Pulch, R. Pulch, 2018, Progress in Industrial Mathematics at ECMI 2018.

Uncertainty quantification of the field/circuit coupled problems

Herbert De Gersem, Jan ter Maten, Marián Slodička, 2014 .

Identification of Probabilistic Input Data for a Glue-Die-Package Problem

Herbert De Gersem, Piotr Putek, Roland Pulch, 2016 .

Robust Optimization of an RFIC Isolation Problem Under Uncertainties

E. Jan W. ter Maten, Bratislav Tasic, Piotr Putek, 2018 .

Uncertainty Quantification for Coupled Problems in Electronic Engineering

Sebastian Schöps, Andreas Bartel, Roland Pulch, 2014 .

nanoCOPS: Nanoelectronic Coupled Problem Solutions

Sebastian Schöps, Herbert De Gersem, E. Jan W. ter Maten, 2014 .

Sensitivity analysis of linear dynamical systems in uncertainty quantification

Roland Pulch, E.J.W. ter Maten, Florian Augustin, 2013 .

Multirate models for simulating a colpitts oscillator

Roland Pulch, 2007 .

Stochastic Galerkin Methods for Analyzing Equilibria of Random Dynamical Systems

Roland Pulch, 2013, SIAM/ASA J. Uncertain. Quantification.

Stability Preservation in Stochastic Galerkin Projections of Dynamical Systems

Roland Pulch, Florian Augustin, R. Pulch, 2017, SIAM/ASA J. Uncertain. Quantification.

Estimating Failure Probabilities

Herbert De Gersem, E. Jan W. ter Maten, Alessandro Di Bucchianico, 2019 .

Numerical Techniques for Solving Multirate Partial Differential Algebraic Equations

Roland Pulch, 2004 .

Reduced Models and Uncertainty Quantification

Sebastian Schöps, Peter Benner, Roland Pulch, 2019 .

Model order reduction and low-dimensional representations for random linear dynamical systems

Roland Pulch, R. Pulch, 2018, Math. Comput. Simul..

Nanoelectronic COupled Problems Solutions: uncertainty quantification for analysis and optimization of an RFIC interference problem

E. Jan W. ter Maten, Michael Günther, Bratislav Tasic, 2018, Journal of Mathematics in Industry.

Uncertainty Quantification: Introduction and Implementations

E. Jan W. ter Maten, Wim Schoenmaker, Piotr Putek, 2019 .

Uncertainty Quantification for Robust Topology Optimization of Power Transistor Devices

Wim Schoenmaker, Peter Meuris, Piotr Putek, 2016, IEEE Transactions on Magnetics.

Nanoelectronic coupled problem solutions: uncertainty quantification of RFIC interference

Bratislav Tasic, Piotr Putek, Roland Pulch, 2016 .

ICESTARS:integrated circuit/EM simulation and design technologies for advanced radio systems-on-chip

Michael Günther, Wim Schoenmaker, Timo Rahkonen, 2011 .

Inverse Modeling: Glue-Package-Die Problem

Herbert De Gersem, Piotr Putek, Roland Pulch, 2019 .

Polynomial chaos for simulating random volatilities

Roland Pulch, Cathrin van Emmerich, R. Pulch, 2009, Math. Comput. Simul..

Fast Fault Simulation for Detecting Erroneous Connections in ICs

E. Jan W. ter Maten, Michael Günther, Roland Pulch, 2019 .

Uncertainty Quantification of Material Curves in Electrical Machines

Sebastian Schöps, Herbert De Gersem, Andreas Bartel, 2012 .

Non-Intrusive Methods for the Cosimulation of Coupled Problems

Sebastian Schöps, Herbert De Gersem, Andreas Bartel, 2019 .

Sensitivity analysis and model order reduction for random linear dynamical systems

Jan ter Maten, Roland Pulch, Florian Augustin, 2015, Math. Comput. Simul..

nanoCOPS project: Public Report (b) on Uncertainty Quantification

Sebastian Schöps, Wim Schoenmaker, Jan ter Maten, 2016 .

Sample selection based on sensitivity analysis in parameterized model order reduction

Roland Pulch, Tino Soll, R. Pulch, 2017, J. Comput. Appl. Math..

Model order reduction : methods, concepts and properties

R Roxana Ionutiu, Roland Pulch, Athanasios C. Antoulas, 2015 .

Shape optimization of a power MOS device under uncertainties

Wim Schoenmaker, Peter Meuris, Jan ter Maten, 2016, 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Fast time-domain simulation for reliable fault detection

Jan ter Maten, Bratislav Tasic, Roland Pulch, 2016, 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Generalised Polynomial Chaos for a Class of Linear Conservation Laws

Dongbin Xiu, Roland Pulch, D. Xiu, 2012, J. Sci. Comput..

Balanced Truncation for Model Order Reduction of Linear Dynamical Systems with Quadratic Outputs

Roland Pulch, Akil Narayan, R. Pulch, 2017, SIAM J. Sci. Comput..

Quadrature Methods with Adjusted Grids for Stochastic Models of Coupled Problems

Sebastian Schöps, Andreas Bartel, Roland Pulch, 2014 .

Wavelet-Collocation of Multirate PDAEs for the Simulation of Radio Frequency Circuits

Stephanie Knorr, Michael Günther, Roland Pulch, 2008 .

Stochastic collocation and stochastic Galerkin methods for linear differential algebraic equations

Roland Pulch, R. Pulch, 2014, J. Comput. Appl. Math..

Nanoelectronic COupled problems solutions - nanoCOPS: modelling, multirate, model order reduction, uncertainty quantification, fast fault simulation

Sebastian Schöps, Michael Günther, Peter Benner, 2016 .

Multi-objective topology optimization of a permanent magnet machine to reduce electromagnetic losses and cogging torque

E. Jan W. ter Maten, Michael Günther, Piotr Paplicki, 2017 .

A Hankel norm for quadrature rules solving random linear dynamical systems

Roland Pulch, R. Pulch, 2017, J. Comput. Appl. Math..

Modelling and simulation of autonomous oscillators with random parameters

Roland Pulch, 2011, Math. Comput. Simul..

Trajectory piecewise linear approach for nonlinear differential-algebraic equations in circuit simulation

E. J. W. ter Maten, Roland Pulch, A. El Guennouni, 2007 .

Robust and efficient uncertainty quantification and validation of RFIC isolation

Roland Pulch, A. Di Bucchianico, E.J.W. ter Maten, 2014 .

Initial-boundary value problems of warped MPDAEs including minimisation criteria

Roland Pulch, 2008, Math. Comput. Simul..

Numerical Techniques for Different Time Scales in Electric Circuit Simulation

Andreas Bartel, P. Rentrop, Michael Günther, 2002 .

Parameterized model order reduction

Wha Wil Schilders, Roland Pulch, E.J.W. ter Maten, 2015 .

Uncertainty Quantification in Electro-Thermal Coupled Problems based on a Power Transistor Device

Michael Günther, Wim Schoenmaker, Peter Meuris, 2015 .

Model order reduction for random nonlinear dynamical systems and low-dimensional representations for their quantities of interest

Roland Pulch, R. Pulch, 2017, Math. Comput. Simul..

Machine Learning for Initial Value Problems of Parameter-Dependent Dynamical Systems pdf

Roland Pulch, Maha Youssef, R. Pulch, 2021, ArXiv.

Robust Topology Optimization of a Permanent Magnet Synchronous Machine Using Multi-Level Set and Stochastic Collocation Methods

Andreas Bartel, E. Jan W. ter Maten, Michael Günther, 2016 .

Variational Methods for Solving Warped Multirate Partial Differential Algebraic Equations

Roland Pulch, 2008, SIAM J. Sci. Comput..

Poly-Sinc Solution of Stochastic Elliptic Differential Equations

Roland Pulch, Maha Youssef, R. Pulch, 2019, Journal of Scientific Computing.

Frequency domain integrals for stability preservation in Galerkin-type projection-based model order reduction

Roland Pulch, R. Pulch, 2018, Int. J. Control.

Sensitivity analysis of random linear dynamical systems using quadratic outputs

Roland Pulch, Akil Narayan, 2021, J. Comput. Appl. Math..

Sensitivity analysis of random linear differential-algebraic equations using system norms

Roland Pulch, Tatjana Stykel, Akil Narayan, 2021, J. Comput. Appl. Math..

A Concept for Classification of Partial Differential Algebraic Equations in Nanoelectronics

Andreas Bartel, Roland Pulch, 2008 .

POLYNOMIAL CHAOS FOR SEMIEXPLICIT DIFFERENTIAL ALGEBRAIC EQUATIONS OF INDEX 1

Roland Pulch, 2013 .

POLYNOMIAL CHAOS FOR LINEAR DIFFERENTIAL ALGEBRAIC EQUATIONS WITH RANDOM PARAMETERS

Roland Pulch, R. Pulch, 2011 .

Finite difference methods for multi time scale differential algebraic equations

Roland Pulch, R. Pulch, 2003 .

Polynomial Chaos Expansions for Analysing Oscillators with Uncertainties

Roland Pulch, R. Pulch, 2009 .

Variational Methods for Solving Warped Multirate PDAEs

Roland Pulch, R. Pulch, R. Pulch, 2005 .

Multirate partial differential algebraic equations for simulating radio frequency signals

Stephanie Knorr, Michael Günther, Roland Pulch, 2007, European Journal of Applied Mathematics.

Model order reduction for semi-explicit systems of differential algebraic equations

Roland Pulch, E.J.W. ter Maten, Michael Striebel, 2009 .

Wavelet-based adaptive grids for multirate partial differential-algebraic equations

Andreas Bartel, Stephanie Knorr, Roland Pulch, 2009 .

Nonlinear model order reduction based on trajectory piecewise linear approach: Comparing different linear cores

E. Jan W. ter Maten, Roland Pulch, Michael Striebel, 2010 .

A method of characteristics for solving multirate partial differential equations in radio frequency application

Michael Günther, Roland Pulch, M. Günther, 2002 .

Polynomial chaos for multirate partial differential algebraic equations with random parameters

Roland Pulch, 2009 .

Polynomial Chaos for the Computation of Failure Probabilities in Periodic Problems

Roland Pulch, R. Pulch, 2010 .

Quadrature Methods and Model Order Reduction for Sparse Approximations in Random Linear Dynamical Systems

Roland Pulch, R. Pulch, 2018 .

The European Project nanoCOPS for Nanoelectronic Coupled Problems Solutions

Sebastian Schöps, E. Jan W. ter Maten, Peter Benner, 2014 .

Model order reduction using singularly perturbed systems

Jan ter Maten, Roland Pulch, K Mohaghegh, 2016 .

Shape and topology optimization of a permanent-magnet machine under uncertainties

Andreas Bartel, Michael Günther, Piotr Putek, 2016 .

Multi time scale differential equations for simulating frequency modulated signals

Roland Pulch, R. Pulch, 2005 .

Efficient Calculation of Uncertainty Quantification

Wil H. A. Schilders, Roland Pulch, E.J.W. ter Maten, 2012 .

Polynomial chaos for boundary value problems of dynamical systems

Roland Pulch, R. Pulch, 2012 .

Model order reduction and sparse orthogonal expansions for random linear dynamical systems

Roland Pulch, R. Pulch, 2016, 1605.06979.

Model Order Reduction for Stochastic Expansions of Electric Circuits

Roland Pulch, 2016 .

Stochastic Galerkin methods and model order reduction for linear dynamical systems

Roland Pulch, E.J.W. ter Maten, R. Pulch, 2013 .

Polynomial Chaos for Analysing Periodic Processes of Differential Algebraic Equations with Random Parameters

Roland Pulch, 2008 .