Preprint (57)
2023
Preprint
A Weighted Subspace Exponential Kernel for Support Tensor Machines. (2023)
Preprint
Low-rank-modified Galerkin Methods for the Lyapunov Equation. (2023)
Preprint
Interpolatory H2-Optimality Conditions for Structured Linear Time-invariant Systems. (2023)
Preprint
Efficient Solution of Sequences of Parametrized Lyapunov Equations with Applications. (2023)
Preprint
Generalizations of Data-Driven Balancing: What to Sample for Different Balancing-Based Reduced Models. (2023)
Preprint
A Note on the Weak Harnack Inequality for Unbounded Minimizers of Elliptic Functionals with Generalized Orlicz Growth. (2023)
Preprint
Parametric Dynamic Mode Decomposition for Nonlinear Parametric Dynamical Systems. (2023)
Preprint
Data-Driven Identification of Quadratic Symplectic Representations of Nonlinear Hamiltonian Systems. (2023)
Preprint
Linearly Implicit Global Energy Preserving Reduced-order Models for Cubic Hamiltonian Systems. (2023)
Preprint
Convolutional Autoencoders, Clustering and POD for Low-dimensional Parametrization of Navier-Stokes Equations. (2023)
Preprint
Frequency-dependent Switching Control for Disturbance Attenuation of Linear Systems. (2023)
Preprint
Iterative Approximations of Periodic Trajectories for Nonlinear Systems with Discontinuous Inputs. (2023)
2022
Preprint
Riccati-feedback Control of a Two-dimensional Two-phase Stefan Problem. (2022)
Preprint
NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning. (2022)
2021
Preprint
LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes. (2021)
Preprint
Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint. (2021)
Preprint
Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning. (2021)
Preprint
Solution Decomposition for the Nonlinear Poisson-Boltzmann Equation using the Range-Separated Tensor Format. (2021)
Preprint
Model Reduction of Parametric Differential-Algebraic Systems by Balanced Truncation. (2021)
Preprint
Learning Reduced Order Models from Data for Hyperbolic PDEs. (2021)
2020
Preprint
Automatic Decoupling and Index-aware Model-Order Reduction for Nonlinear Differential-Algebraic Equations. (2020)
Preprint
Low-Rank and Total Variation Regularization and Its Application to Image Recovery. (2020)
Preprint
Hyperbolic Discretization via Riemann Invariants. (2020)
Preprint
Model Reduction of Time-Dependent Hyperbolic Equations using Collocated Residual Minimisation and Shifted Snapshots. (2020)
Preprint
A Low-rank Method for Parameter-dependent Fluid-structure Interaction Discretizations with Hyperelasticity. (2020)
2019
Preprint
The projected Newton-Kleinman Method for the Algebraic Riccati Equation. (2019)
Preprint
An Adaptive Pole-Matching Method for Interpolating Reduced-Order Models. (2019)
2018
Preprint
Peer Methods for the Solution of Large-Scale Differential Matrix Equations. (2018)
Preprint
On the Existence and Uniqueness of the Solution of a Parabolic Optimal Control Problem with Uncertain Inputs. (2018)
Preprint
A Comparison of Nonsmooth, Nonconvex, Constrained Optimization Solvers for the Design of Time-Delay Compensators. (2018)
Preprint
Residual Minimizing Shift Parameters for the Low-Rank ADI Iteration. (2018)
Preprint
Inexact Methods for the Low Rank Solution to Large Scale Lyapunov Equations. (2018)
2017
Preprint
Example Setups of Navier-Stokes Equations with Control and Observation: Spatial Discretization and Representation via Linear-quadratic Matrix Coefficients. (2017)
Preprint
Solving Optimal Control Problems governed by Random Navier-Stokes Equations using Low-Rank Methods. (2017)
Preprint
Balanced Truncation Model Order Reduction For Quadratic-Bilinear Control Systems. (2017)
2016
Preprint
Finite-Frequency Model Order Reduction of Linear Systems via Parameterized Frequency-dependent Balanced Truncation. (2016)
Preprint
Combined Error Estimates for Local Fluctuations of SPDEs. (2016)
Software (17)
2023
Software
MORLAB-6.0 - Model Order Reduction Laboratory. (2023)
Software
M-M.E.S.S.-3.0 – the Matrix Equations Sparse Solvers Library. (2023)
2022
Software
M-M.E.S.S.-2.2 – the Matrix Equations Sparse Solvers Library. (2022)
2021
Software
SOMDDPA - Second-Order Modally-Damped Dominant Pole Algorithm (Version 2.0). (2021)
Software
SOLBT - Limited Balanced Truncation for Large-Scale Sparse Second-Order Systems (Version 3.0). (2021)
Software
M-M.E.S.S.-2.1 – the Matrix Equations Sparse Solvers Library. (2021)
2020
Software
SOMDDPA - Second-Order Modally-Damped Dominant Pole Algorithm (Version 1.1). (2020)
Software
Limited Balanced Truncation for Large-Scale Sparse Second-Order Systems (Version 2.0). (2020)
Software
M-M.E.S.S.-2.0.1 – the Matrix Equations Sparse Solvers Library. (2020)
2019
Software
Limited Balanced Truncation for Large-Scale Sparse Second-Order Systems (Version 1.0). (2019)
Software
SOMDDPA - Second-Order Modally-Damped Dominant Pole Algorithm (Version 1.0). (2019)
Software
MORLAB-5.0 - Model Order Reduction Laboratory. (2019)
Software
M-M.E.S.S.-2.0 – the Matrix Equations Sparse Solvers Library. (2019)