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Preprint (90)
9621.
Preprint
Closed-Form Solutions for Control of Calcium Carbonate Precipitation. ChemRxiv (2025)
9622.
Preprint
Discrete Empirical Interpolation in the Tensor t-Product Framework. (2024)
9623.
Preprint
Discrete Empirical Interpolation in the Tensor t-Product Framework. (2024)
9624.
Preprint
Data-Augmented Predictive Deep Neural Network: Enhancing the Extrapolation Capabilities of Non-Intrusive Surrogate Models. (2024)
9625.
Preprint
Barycentric Rational Approximation for Learning the Index of a Dynamical System from Limited Data. (2024)
9626.
Preprint
Kinetically Consistent Coarse Graining using Kernel-based Extended Dynamic Mode Decomposition. (2024)
9627.
Preprint
Optimal Experimental Design for Universal Differential Equations. (2024)
9628.
Preprint
Active Sampling of Interpolation Points to Identify Dominant Subspaces for Model Reduction. (2024)
9629.
Preprint
Divergence-free Neural Operators for Stress Field Modeling in Polycrystalline Materials. (2024)
9630.
Preprint
On the Loss of Orthogonality in Low-Synchronization Variants of Reorthogonalized Block Classical Gram-Schmidt. (2024)
9631.
Preprint
Computing k-means in mixed precision. (2024)
9632.
Preprint
An Extension of the Low-Rank Lyapunov ADI to Non-Zero Initial Values and its Applications. (2024)
9633.
Preprint
Snapshot-driven Rational Interpolation of Parametric Systems. (2024)
9634.
Preprint
Generalized Inverse Optimal Control and its Application in Biology. (2024)
9635.
Preprint
GN-SINDy: Greedy Sampling Neural Network in Sparse Identification of Nonlinear Partial Differential Equations. (2024)
9636.
Preprint
GS-PINN: Greedy Sampling for Parameter Estimation in Partial Differential Equations. (2024)
9637.
Preprint
H2 Optimal Model Reduction of Linear Systems with Multiple Quadratic Outputs. (2024)
9638.
Preprint
Deep Polytopic Autoencoders for Low-Dimensional Linear Parameter-Varying Approximations and Nonlinear Feedback Design. (2024)
9639.
Preprint
Sparse convex relaxations in polynomial optimization. (2024)
9640.
Preprint
MaRDIFlow: A CSE Workflow Framework for Abstracting Meta-Data from FAIR Computational Experiments. (2024)