Matthias Ehrhardt

Full Professor

Bergische Universität Wuppertal

Germany

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Articles (20)

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

Collaborators (7)

Claudia Totzeck

Bergische Universität Wuppertal

GERMANY

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Thomas Kruse

Bergische Universität Wuppertal

GERMANY

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Kathrin Klamroth

Professor for Mathematical Optimization

Bergische Universität Wuppertal

GERMANY

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Nathanael Skrepek

Assistant Professor

University of Twente

NETHERLANDS

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Luca Di Persio

Professor

University of Verona

ITALY

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Ameya Jagtap

Assistant Professor of Applied Mathematics (Research)

Brown University

UNITED STATES

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Birgit Jacob

Bergische Universität Wuppertal

GERMANY

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Matthias Ehrhardt

Research Interests

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Articles (20)

Deep smoothness weighted essentially non-oscillatory method for two-dimensional hyperbolic conservation laws: A deep learning approach for learning smoothness indicators

A gradient-based calibration method for the Heston model

A second-order nonstandard finite difference method for a general Rosenzweig–MacArthur predator–prey model

Advanced stability assessment for control systems: Gelfand’s method with iterated Shanks transformation

A generalization of the split-step Padé method to the case of coupled acoustic modes equation in a 3D waveguide

The Formation of 2D Holograms of a Noise Source and Bearing Estimation by a Vector Scalar Receiver in the High-Frequency Band

A general class of second-order L-stable explicit numerical methods for stiff problems

The collective dynamics of a stochastic Port-Hamiltonian self-driven agent model in one dimension

A nonstandard finite difference scheme for a time-fractional model of Zika virus transmission

A novel technique for stability analysis of linear time-invariant and nonlinear continuous-time control systems based on Markov parameters and Hankel matrices

Electricity Price Forecasting via Statistical and Deep Learning Approaches: The German Case

Strong stochastic Runge-Kutta–Munthe-Kaas methods for nonlinear Itô SDEs on manifolds

Deep FDM: Enhanced finite difference methods by deep learning

PINN training using biobjective optimization: The trade-off between data loss and residual loss

Use of Interference Patterns to Control Sound Field Focusing in Shallow Water

Mixed-dimensional geometric coupling of port-Hamiltonian systems

Experimental observation and theoretical analysis of the low-frequency source interferogram and hologram in shallow water

A port-Hamiltonian formulation of coupled heat transfer

A Two-Dimensional port-Hamiltonian Model for Coupled Heat Transfer

Higher strong order methods for linear Itô SDEs on matrix Lie groups

Collaborators (7)

Claudia Totzeck

Thomas Kruse

Kathrin Klamroth

Nathanael Skrepek

Luca Di Persio

Ameya Jagtap

Birgit Jacob

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