Hermann G. Matthies

According to our database1, Hermann G. Matthies authored at least 31 papers between 2003 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Online presence:

On csauthors.net:

Bibliography

2020
Iterative algorithms for the post-processing of high-dimensional data.
J. Comput. Phys., 2020

Machine-Learning-Based Reduced Order Model for Macro-Scale Stochastic Plasticity.
ERCIM News, 2020

Deep Neural Network-Based Filtering Techniques for Data Assimilation.
ERCIM News, 2020

Crack propagation simulation without crack tracking algorithm: embedded discontinuity formulation with incompatible modes.
CoRR, 2020

Stochastic phase-field modeling of brittle fracture: computing multiple crack patterns and their probabilities.
CoRR, 2020

Bayesian stochastic multi-scale analysis via energy considerations.
Adv. Model. Simul. Eng. Sci., 2020

Parametric models analysed with linear maps.
Adv. Model. Simul. Eng. Sci., 2020

2019
Novel model calibration method via non-probabilistic interval characterization and Bayesian theory.
Reliab. Eng. Syst. Saf., 2019

Accurate Computation of Conditional Expectation for Highly Nonlinear Problems.
SIAM/ASA J. Uncertain. Quantification, 2019

Hybrid evidence-and-fuzzy uncertainty propagation under a dual-level analysis framework.
Fuzzy Sets Syst., 2019

Parameter Identification in Viscoplasticity using Transitional Markov Chain Monte Carlo Method.
CoRR, 2019

Effect of Load Path on Parameter Identification for Plasticity Models using Bayesian Methods.
CoRR, 2019

Post-Processing of High-Dimensional Data.
CoRR, 2019

Tucker Tensor Analysis of Matérn Functions in Spatial Statistics.
Comput. Methods Appl. Math., 2019

Analysis of parametric models.
Adv. Comput. Math., 2019

2018
A novel reduced order model for vortex induced vibrations of long flexible cylinders.
CoRR, 2018

2016
Parameter estimation via conditional expectation: a Bayesian inversion.
Adv. Model. Simul. Eng. Sci., 2016

2015
To Be or Not to be Intrusive? The Solution of Parametric and Stochastic Equations - Proper Generalized Decomposition.
SIAM J. Sci. Comput., 2015

Polynomial Chaos Expansion of Random Coefficients and the Solution of Stochastic Partial Differential Equations in the Tensor Train Format.
SIAM/ASA J. Uncertain. Quantification, 2015

Pivoted Cholesky decomposition by Cross Approximation for efficient solution of kernel systems.
CoRR, 2015

2014
To Be or Not to Be Intrusive? The Solution of Parametric and Stochastic Equations - the "Plain Vanilla" Galerkin Case.
SIAM J. Sci. Comput., 2014

Efficient low-rank approximation of the stochastic Galerkin matrix in tensor formats.
Comput. Math. Appl., 2014

Code-coupling strategy for efficient development of computer software in multiscale and multiphysics nonlinear evolution problems in computational mechanics.
Adv. Eng. Softw., 2014

2013
Sampling-free linear Bayesian updating of model state and parameters using a square root approach.
Comput. Geosci., 2013

2012
Sampling-free linear Bayesian update of polynomial chaos representations.
J. Comput. Phys., 2012

Acceleration of uncertainty updating in the description of transport processes in heterogeneous materials.
J. Comput. Appl. Math., 2012

Parameter Identification in a Probabilistic Setting
CoRR, 2012

Wissenschaftliches Rechnen - Scientific Computing.
Proceedings of the 40 Jahre Informatik an der Technischen Universität Braunschweig, 1972, 2012

2011
Parametric and Uncertainty Computations with Tensor Product Representations.
Proceedings of the Uncertainty Quantification in Scientific Computing, 2011

2009
Application of hierarchical matrices for computing the Karhunen-Loève expansion.
Computing, 2009

2003
A Component Based Architecture for Coupling Optimization and Simulation Software in a Distributed Environment.
Proceedings of the ACIS Fourth International Conference on Software Engineering, 2003


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