January 01, 2017 article A Stochastic Galerkin Method for the Boltzmann Equation with Multi-Dimensional Random Inputs Using Sparse Wavelet Bases Numerical Mathematics Theory Methods and Applications DOI: 10.4208/nmtma.2017.s12 OpenAlex Authors 0 Author list not loaded yet. Cited by 6 stored of 39 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Turnpike properties of optimal boundary control problems with random linear hyperbolic systems 2023 ESAIM Control Optimisation and Calculus of Variations article Engineering Stability and Controllability of Differential Equations Open access 3 citations Uncertainty quantification in hierarchical vehicular flow models 2022 Kinetic and Related Models article Engineering Traffic control and management Open access 5 citations Hypocoercivity of stochastic Galerkin formulations for stabilization of kinetic equations 2021 Communications in Mathematical Sciences article Mathematics Gas Dynamics and Kinetic Theory 8 citations Feedback control for random, linear hyperbolic balance laws 2020 arXiv (Cornell University) preprint Engineering Stability and Controllability of Differential Equations Open access 0 citations Entropies and Symmetrization of Hyperbolic Stochastic Galerkin Formulations 2020 Communications in Computational Physics article Engineering Computational Fluid Dynamics and Aerodynamics Open access 32 citations Spectral methods to study the robustness of residual neural networks with infinite layers 2020 Foundations of Data Science article Physics and Astronomy Model Reduction and Neural Networks Open access 4 citations 6 results References 0