Thesis - Master (13)

601.
Thesis - Master
Penke, C.: GPU-Accelerated Computation of the Matrix Disc Function and its Applications. Master, Otto-von-Guericke-Universität, Magdeburg (2017)
602.
Thesis - Master
Werner, S. W. R.: Hankel-Norm Approximation of Descriptor Systems. Master, Otto-von-Guericke Universität, Magdeburg (2016)
603.
Thesis - Master
Baran, B.: Optimal Control of a Stefan Problem with Gradient-Based Methods in FEniCS. Master, Otto-von-Guericke Universität, Magdeburg (2016)
604.
Thesis - Master
Behr, M.: Optimization and Stabilization of Incompressible Flows via Boundary Control in M.E.S.S. Master, Otto-von-Guericke Universität, Magdeburg (2015)
605.
Thesis - Master
Hund, M.: Zeitbereichs-Modellreduktion und Sylvester-Gleichungen. Master, Otto-von-Guericke Universität, Magdeburg (2015)
606.
Thesis - Master
Alam, G. M.: Fast Iterative Solution of Large Scale Statistical Inverse Problem. Master, Stockholm University, Stockholm, Sweden (2013)
607.
Thesis - Master
Bosch, J.: Fast solvers for Cahn-Hilliard variational inequalities. Master, Otto-von-Guericke Universität, Magdeburg (2012)

Thesis - Bachelor (9)

608.
Thesis - Bachelor
Zeller, J.: Performance analysis of MPI-based FEniCS/ PETSc models in pyMOR. Bachelor, Otto-von-Guericke Universität, Magdeburg (2022)
609.
Thesis - Bachelor
Jendersie, R.: Model Order Reduction of Linear Discrete-Time Systems. Bachelor, Otto-von-Guericke Universität, Magdeburg (2019)
610.
Thesis - Bachelor
Pauer, G.: Numerisches Lösen großer dünnbesetzter Matrixgleichungen auf CUDA GPUs. Bachelor, Otto-von-Guericke Universität, Magdeburg (2015)
611.
Thesis - Bachelor
Werner, S. W. R.: Numerische Berechnung der Eigenwerte großer Hamiltonisch-positiver Matrizen. Bachelor, Otto-von-Guericke Universität, Magdeburg (2014)
612.
Thesis - Bachelor
Hermann, S.: Simultane iterative Lösung der adjungierten linearen Gleichungssysteme in der dualen Niedrig-Rang ADI Iteration für Lyapunovgleichungen. Bachelor, Otto-von-Guericke Universität, Magdeburg (2014)
613.
Thesis - Bachelor
Penke, C.: Implementierung der Newton-Iteration zur Berechnung des Signums eines Matrix-Büschels mit Hilfe der MAGMA-Softwarebibliothek. Bachelor, Otto-von-Guericke Universität, Magdeburg (2014)
614.
Thesis - Bachelor
Baran, B.: Numerisches Lösen großer dünnbesetzter Matrixgleichungen in Python. Bachelor, Otto-von-Guericke Universität, Magdeburg (2013)
615.
Thesis - Bachelor
Behr, M.: Second Order LQR-Problems in M.E.S.S. Bachelor, Otto-von-Guericke-Universität, Magdeburg (2013)
616.
Thesis - Bachelor
Hund, M.: Adaptive Berechnung der ADI Shiftparameter in der Niedrig-Rang-Galerkin-ADI. Bachelor, Otto-von-Guericke Universität, Magdeburg (2012)

Working Paper (48)

617.
Working Paper
Benner, P.; Goyal, P. K.; Heiland, J.; Pontes Duff, I.: A Quadratic Decoder Approach to Nonintrusive Reduced-Order Modeling of Nonlinear Dynamical Systems. (2022)
618.
Working Paper
Baran, B.; Benner, P.; Saak, J.: Riccati-feedback Control of a Two-dimensional Two-phase Stefan Problem. (2022)
619.
Working Paper
Kumar, V.; Heiland, J.; Benner, P.: Exponential Lag Synchronization of Cohen-Grossberg Neural Networks with Discrete and Distributed Delays on Time Scales. (2022)
620.
Working Paper
Khorrami, M. S.; Mianroodi, J. R.; Siboni, N. H.; Goyal, P. K.; Svendsen, B.; Benner, P.; Raabe, D.: An Artificial Neural Network for Surrogate Modeling of Stress Fields in Viscoplastic Polycrystalline Materials. (2022)
621.
Working Paper
Karachalios, D.; Gosea, I. V.; Kour, K.; Antoulas, A. C.: Bilinear realization from input-output data with neural networks. (2022)
622.
Working Paper
Lund, K.: Adaptively Restarted Block Krylov Subspace Methods with Low-Synchronization Skeletons. (2022)
623.
Working Paper
Skrypnik, I.; Yevgenieva, Y.: Harnack Inequality for Solutions of the p(x)-Laplace Equation under the precise Non-Logarithmic Zhikov's Conditions. (2022)
624.
Working Paper
Przybilla, J.; Pontes Duff, I.; Benner, P.: Model Reduction for Second-Order Systems with Inhomogeneous Initial Conditions. (2022)
625.
Working Paper
Benner, P.; Gugercin, S.; Werner, S. W. R.: A Unifying Framework for Tangential Interpolation of Structured Bilinear Control Systems. (2022)
626.
Working Paper
Goyal, P. K.; Benner, P.: Neural ODEs with Irregular and Noisy Data. (2022)
627.
Working Paper
Benner, P.; Nakatsukasa, Y.; Penke, C.: A Structure-Preserving Divide-and-Conquer Method for Pseudosymmetric Matrices. (2022)
628.
Working Paper
Aumann, Q.; Werner, S. W. R.: Structured Model Order Reduction for Vibro-Acoustic Problems using Interpolation and Balancing Methods. (2022)
629.
Working Paper
Liang, B.; Mitchell, T.; Sun, J.: NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning. (2022)
630.
Working Paper
Goyal, P. K.; Benner, P.: Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning. (2021)
631.
Working Paper
Kweyu, C. M.; Khoromskaia, V.; Khoromskij, B.; Stein, M.; Benner, P.: Solution Decomposition for the Nonlinear Poisson-Boltzmann Equation using the Range-Separated Tensor Format. (2021)
632.
Working Paper
Sarna, N.; Benner, P.: Learning Reduced Order Models from Data for Hyperbolic PDEs. (2021)
633.
Working Paper
Mitchell, T.; Van Dooren, P.: Root-max Problems, Hybrid Expansion-Contraction, and Quadratically Convergent Optimization of Passive Systems. submitted to SINUM (2021)
634.
Working Paper
Przybilla, J.; Voigt, M.: Model Reduction of Parametric Differential-Algebraic Systems by Balanced Truncation. (2021)
635.
Working Paper
Himpe, C.; Grundel, S.; Benner, P.: Next-Gen Gas Network Simulation. (2021)
636.
Working Paper
Khattak, M. A.; Ahmad, M. I.; Feng, L.; Benner, P.: Multivariate Moment Matching for Model Order Reduction of Quadratic-Bilinear Systems using Error Bounds. (2021)
637.
Working Paper
Chellappa, S.; Feng, L.; de la Rubia, V.; Benner, P.: Inf-Sup-Constant-Free State Error Estimator for Model Order Reduction of Parametric Systems in Electromagnetics. (2021)
638.
Working Paper
Jakovcevic Stor, N.; Mitchell, T.; Tomljanovic, Z.; Ugrica, M.: Fast optimization of viscosities for frequency-weighted damping of second-order systems. (2021)
639.
Working Paper
Palitta, D.; Pozza, S.; Simoncini, V.: The Short-term Rational Lanczos Method and Applications. (2021)
640.
Working Paper
Goyal, P. K.; Benner, P.: LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes. (2021)
641.
Working Paper
Goyal, P. K.; Benner, P.: Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint. The Symbiosis of Deep Learning and Differential Equations Workshop at NeurIPS 2021, 9 pages (2021)
642.
Working Paper
Beddig, R. S.; Benner, P.; Dorschky, I.; Reis, T.; Schwerdtner, P.; Voigt, M.; Werner, S. W. R.: Structure-Preserving Model Reduction for Dissipative Mechanical Systems. (2020)
643.
Working Paper
Sarna, N.; Giesselmann, J.; Benner, P.: Data-Driven Snapshot Calibration via Monotonic Feature Matching. (2020)
644.
Working Paper
Benner, P.; Heiland, J.: Space and Chaos-Expansion Galerkin POD Low-order Discretization of PDEs for Uncertainty Quantification. (2020)
645.
Working Paper
Weinhandl, R.; Benner, P.; Richter, T.: A Low-rank Method for Parameter-dependent Fluid-structure Interaction Discretizations with Hyperelasticity. (2020)
646.
Working Paper
Grundel, S.; Herty, M.: Hyperbolic Discretization via Riemann Invariants. (2020)
647.
Working Paper
Sarna, N.; Grundel, S.: Model Reduction of Time-Dependent Hyperbolic Equations using Collocated Residual Minimisation and Shifted Snapshots. submitted to SISC (2020)
648.
Working Paper
Goyal, P. K.; Daas, H. A.; Benner, P.: Low-Rank and Total Variation Regularization and Its Application to Image Recovery. (2020)
649.
Working Paper
Banagaaya, N.; Ali, G.; Grundel, S.; Benner, P.: Automatic Decoupling and Index-aware Model-Order Reduction for Nonlinear Differential-Algebraic Equations. (2020)
650.
Working Paper
Kour, K.; Dolgov, S.; Stoll, M.; Benner, P.: Efficient Structure-preserving Support Tensor Train Machine. (2020)
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