H. Matthies

Manfred Staat, H. G. Matthies, Thanh Ngoc Tran, 2016, Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016).

Iterative algorithms for the post-processing of high-dimensional data

Hermann G. Matthies, Alexander Litvinenko, Wolfgang Hackbusch, 2020, J. Comput. Phys..

Non-probabilistic interval process model and method for uncertainty analysis of transient heat transfer problem

Hermann G. Matthies, Chong Wang, H. Matthies, 2019, International Journal of Thermal Sciences.

Polynomial Chaos Expansion of Random Coefficients and the Solution of Stochastic Partial Differential Equations in the Tensor Train Format

Hermann G. Matthies, Alexander Litvinenko, Boris N. Khoromskij, 2015, SIAM/ASA J. Uncertain. Quantification.

Uncertainty updating in the description of heterogeneous materials

Hermann G. Matthies, Anna Kučerová, H. Matthies, 2010 .

Hierarchical Bayesian framework for uncertainty reduction in the seismic fragility analysis of concrete gravity dams

H. Matthies, M. Andreini, A. De Falco, 2021, Engineering Structures.

Optimization-based inverse analysis for membership function identification in fuzzy steady-state heat transfer problem

Hermann G. Matthies, Zhiping Qiu, Chong Wang, 2018 .

Stochastic approach to size effect in quasi-brittle materials

Jean-Baptiste Colliat, Hermann G. Matthies, Adnan Ibrahimbegovic, 2007 .

White Noise Analysis for Stochastic Partial Differential Equations

Hermann G. Matthies, H. Matthies, 2012 .

Parallel Solution of Stochastic PDEs

Hermann G. Matthies, Andreas Keese, H. Matthies, 2003 .

Fast Solvers for the White Noise Analysis of Stochastic Systems

Hermann G. Matthies, Andreas Keese, H. Matthies, 2002 .

Multilevel solvers for the analysis of stochastic systems

Hermann G. Matthies, Andreas Keese, H. Matthies, 2001 .

Efficient low-rank approximation of the stochastic Galerkin matrix in tensor formats

Hermann G. Matthies, Alexander Litvinenko, Wolfgang Hackbusch, 2014, Comput. Math. Appl..

A novel reduced order model for vortex induced vibrations of long flexible cylinders pdf

Claudio Borri, Hermann G. Matthies, Giovanni Stabile, 2018, ArXiv.

Stochastic phase-field modeling of brittle fracture: computing multiple crack patterns and their probabilities

H. Matthies, L. Lorenzis, T. Gerasimov, 2020, Computer Methods in Applied Mechanics and Engineering.

Stochastic Upscaling via Linear Bayesian Updating

Hermann G. Matthies, Adnan Ibrahimbegovic, Bojana V. Rosić, 2018 .

To Be or Not to Be Intrusive? The Solution of Parametric and Stochastic Equations - the "Plain Vanilla" Galerkin Case

Dishi Liu, Hermann G. Matthies, Alexander Litvinenko, 2013, SIAM J. Sci. Comput..

Sampling-free linear Bayesian update of polynomial chaos representations

Hermann G. Matthies, Alexander Litvinenko, Bojana V. Rosic, 2012, J. Comput. Phys..

Uncertainty Quantification with Stochastic Finite Elements

Hermann G. Matthies, H. Matthies, 2007 .

Analysis of polymorphic data uncertainties in engineering applications

Hermann G. Matthies, Tim Ricken, Georg-Peter Ostermeyer, 2019, GAMM-Mitteilungen.

Simulation of Incompressible Flows with Coupled FEM/EFG shape functions

H. Matthies, T. Fries, 2005 .

Solving fluid‐structure interaction problems using strong coupling algorithms with the component template library (CTL)

Hermann G. Matthies, Rainer Niekamp, Martin Krosche, 2008 .

Comparison of Numerical Approaches to Bayesian Updating

Hermann G. Matthies, Anna Kučerová, Jan Sýkora, 2016 .

Nonlinear fluid–structure interaction problem. Part I: implicit partitioned algorithm, nonlinear stability proof and validation examples

A. Ibrahimbegovic, H. Matthies, R. Niekamp, 2011 .

Considerations on the identifiability of fracture and bond properties of reinforced concrete

A. Ibrahimbegovic, H. Matthies, Simona Dobrilla, 2023, International Journal for Numerical Methods in Engineering.

Lecture notes Introduction to Scientific Computing

Hermann G. Matthies, Andreas Keese, Jan Steindorf, 2005 .

Crack propagation simulation without crack tracking algorithm: embedded discontinuity formulation with incompatible modes

A. Ibrahimbegovic, H. Matthies, B. Brank, 2020, ArXiv.

Dynamic stability of periodic solution of large scale nonlinear systems

H. Matthies, H.G. Matthies, Chr. Nath, 1985 .

Bayesian calibration of model coefficients for a simulation of flow over porous material involving SVM classification

Hermann G. Matthies, Elmar Zander, Noemi Friedman, 2016 .

Mathematical and Computational Methods in Plasticity

Roger Temam, Hermann G. Matthies, Gilbert Strang, 1980 .

Computing f ‐divergences and distances of high‐dimensional probability density functions

Y. Marzouk, Alessio Spantini, H. Matthies, 2022, Numer. Linear Algebra Appl..

Deterministic Linear Bayesian Updating of State and Model Parameters for a Chaotic Model

O. Pajonk, B.V. Rosić, H.G. Matthies, 2012 .

Sparse Quadrature as an Alternative to Monte Carlo for Stochastic Finite Element Techniques

Hermann G. Matthies, Andreas Keese, H. Matthies, 2003 .

Numerical Evaluation of Functionals based on Variance Minimisation

H. Matthies, R. Niekamp, O. Pajonk, 2008 .

Polynomial Chaos Expansion of Random Coefficients and the Solution of Stochastic Partial Differential Equations in the Tensor Train Format

B. Khoromskij, H. Matthies, S. Dolgov, 2015, SIAM/ASA J. Uncertain. Quantification.

Evidence-theory-based model validation method for heat transfer system with epistemic uncertainty

Chong Wang, Yunlong Li, Hermann G. Matthies, 2018, International Journal of Thermal Sciences.

Computation of the Response Surface in the Tensor Train data format

Hermann G. Matthies, Alexander Litvinenko, Boris N. Khoromskij, 2014, 1406.2816.