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Papers matching “numerical experiments” 21

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The Numerical Flow Iteration for the Vlasov-Poisson equation
2023 arXiv (Cornell University) preprint Mathematics Gas Dynamics and Kinetic Theory Open access

Matthias Kirchhart, Rostislav‐Paul Wilhelm

0

citations
Eighteen trial-level parity judgment datasets (n = 1016) from five countries: benefits of sharing unified data of cognitive tasks
2022 preprint Mathematics Cognitive and developmental aspects of mathematical skills Open access

Krzysztof Cipora, Jean‐Philippe van Dijck, Carrie Georges, Nicolas Masson, Silke Melanie Goebel, Klaus Willmes, +3 more

3

citations
On the transmission eigenvalues for scattering by a clamped planar region
2025 arXiv (Cornell University) preprint Mathematics Numerical methods in inverse problems Open access

Isaac Harris, Heejin Lee, Andreas Kleefeld

0

citations
Comparing intrusive and non-intrusive polynomial chaos for a class of exponential time differencing schemes
2023 arXiv (Cornell University) preprint Mathematics Numerical methods for differential equations Open access

Julian Clausnitzer, Andreas Kleefeld

0

citations
On trajectories of complex-valued interior transmission eigenvalues
2022 arXiv (Cornell University) preprint Mathematics Numerical methods in inverse problems Open access

Lukas Pieronek, Andreas Kleefeld

0

citations
Analysis of the transmission eigenvalue problem for biharmonic scattering considering penetrable scatterers
2025 arXiv (Cornell University) preprint Mathematics Numerical methods in inverse problems Open access

Rafael Ceja Ayala, Isaac Harris, Andreas Kleefeld

0

citations
Analysis of the transmission eigenvalue problem with two conductivity parameters
2022 arXiv (Cornell University) preprint Mathematics Numerical methods in inverse problems Open access

Rafael Ceja Ayala, Isaac Harris, Andreas Kleefeld, Nikolaos Pallikarakis

0

citations
Anderson Mixing in Bures Wasserstein Space of Gaussian Measures
2026 arXiv (Cornell University) preprint Mathematics Geometric Analysis and Curvature Flows Open access

Vitalii Aksenov, Martin Eigel, Mathias Oster

0

citations
A posteriori error analysis of a positivity preserving scheme for the power-law diffusion Keller-Segel model
2023 arXiv (Cornell University) preprint Mathematics Mathematical Biology Tumor Growth Open access

Jan Giesselmann, Niklas Kolbe

1

citations
A relaxation system for the low-Mach limit of kinetic equations: Stability and higher order asymptotic preserving scheme
2026 arXiv (Cornell University) preprint Mathematics Gas Dynamics and Kinetic Theory Open access

Giacomo Dimarco, Axel Klar, Theresa Köfler, Lorenzo Pareschi, Sudarshan Tiwari, Yizhou Zhou

0

citations
Double-loop randomized quasi-Monte Carlo estimator for nested integration
2023 RWTH Publications (RWTH Aachen) preprint Mathematics Mathematical Approximation and Integration Open access

Arved Bartuska, André Gustavo Carlon, Luis Espath, Sebastian Krumscheid, Raul F. Tempone

0

citations
Tangential Navier-Stokes equations on evolving surfaces: Analysis and simulations
2022 arXiv (Cornell University) preprint Mathematics Navier-Stokes equation solutions Open access

Maxim A. Olshanskii, Arnold Reusken, Alexander Zhiliakov

2

citations
Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format
2020 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Lars Grasedyck, Robert Scheichl

1

citations
Low-rank tensor methods for Markov chains with applications to tumor progression models
2020 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Lars Grasedyck, Maren Klever, Rudolf Schill, Rainer Spang, Tilo Wettig

0

citations
Accelerating jackknife resampling for the Canonical Polyadic Decomposition
2021 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Christos Psarras, Lars Karlsson, Rasmus Bro, Paolo Bientinesi

0

citations
Ensemble Kalman Inversion as an Inertial Interacting Particle System
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Michael Herty, Pierpaolo Porretta, Giuseppe Visconti

0

citations
Provable Diffusion Posterior Sampling for Bayesian Inversion
2025 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

0

citations
Sampling via Stochastic Interpolants by Langevin-based Velocity and Initialization Estimation in Flow ODEs
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Chenguang Duan, Yuling Jiao, Gabriele Steidl, Christian Wald, Jerry Zhijian Yang, Ruizhe Zhang

0

citations
Modelling phenotypic plasticity in cancer invasion and metastasis: from microscopic interactions to macroscopic dynamics
2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Mathematics Mathematical Biology Tumor Growth Open access

Dimitrios Katsaounis, Mark A. J. Chaplain, Nikolaos Sfakianakis

0

citations
Learning-Based Importance Sampling via Stochastic Optimal Control for Stochastic Reaction Networks
2021 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Chiheb Ben Hammouda, Nadhir Ben Rached, Raul F. Tempone, Sophia Wiechert

0

citations
Neural Sampling with Reweighted Normalizing Flows via the Wasserstein--Fisher--Rao JKO Scheme
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Chenguang Duan, Johannes Hertrich, Gabriele Steidl

0

citations

21 results