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Svetlana Tokareva
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HLLC-type Riemann solver for the Baer–Nunziato equations of compressible two-phase flow
SA Tokareva, EF Toro
Journal of Computational Physics 229 (10), 3573-3604, 2010
2002010
Numerical solution of scalar conservation laws with random flux functions
S Mishra, NH Risebro, C Schwab, S Tokareva
SIAM/ASA Journal on Uncertainty Quantification 4 (1), 552-591, 2016
592016
High-order residual distribution scheme for the time-dependent Euler equations of fluid dynamics
R Abgrall, P Bacigaluppi, S Tokareva
Computers & Mathematics with Applications 78 (2), 274-297, 2019
532019
Analysis of the SBP-SAT stabilization for finite element methods part II: entropy stability
R Abgrall, J Nordström, P Öffner, S Tokareva
Communications on Applied Mathematics and Computation, 1-23, 2021
492021
A high-order nonconservative approach for hyperbolic equations in fluid dynamics
R Abgrall, P Bacigaluppi, S Tokareva
Computers & Fluids 169, 10-22, 2018
492018
Analysis of the SBP-SAT stabilization for finite element methods part I: linear problems
R Abgrall, J Nordström, P Öffner, S Tokareva
Journal of Scientific Computing 85 (2), 1-29, 2020
472020
High order approximation of probabilistic shock profiles in hyperbolic conservation laws with uncertain initial data
C Schwab, S Tokareva
ESAIM: Mathematical Modelling and Numerical Analysis 47 (3), 807-835, 2013
402013
Staggered grid residual distribution scheme for Lagrangian hydrodynamics
R Abgrall, S Tokareva
SIAM Journal on Scientific Computing 39 (5), A2317-A2344, 2017
292017
Model order reduction for parametrized nonlinear hyperbolic problems as an application to uncertainty quantification
R Crisovan, D Torlo, R Abgrall, S Tokareva
Journal of computational and applied mathematics 348, 466-489, 2019
272019
Multidimensional staggered grid residual distribution scheme for Lagrangian hydrodynamics
R Abgrall, K Lipnikov, N Morgan, S Tokareva
SIAM Journal on Scientific Computing 42 (1), A343-A370, 2020
222020
“A posteriori” limited high order and robust schemes for transient simulations of fluid flows in gas dynamics
P Bacigaluppi, R Abgrall, S Tokareva
Journal of Computational Physics 476, 111898, 2023
192023
A machine learning approach for detecting shocks with high-order hydrodynamic methods
NR Morgan, S Tokareva, X Liu, A Morgan
AIAA Scitech 2020 Forum, 2024, 2020
192020
A flux splitting method for the Baer–Nunziato equations of compressible two-phase flow
SA Tokareva, EF Toro
Journal of Computational Physics 323, 45-74, 2016
172016
High order SFV and mixed SDG/FV methods for the uncertainty quantification in multidimensional conservation laws
S Tokareva, C Schwab, S Mishra
High Order Nonlinear Numerical Schemes for Evolutionary PDEs: Proceedings of …, 2014
162014
Low-dissipation centred schemes for hyperbolic equations in conservative and non-conservative form
EF Toro, B Saggiorato, S Tokareva, A Hidalgo
Journal of Computational Physics 416, 109545, 2020
142020
How to avoid mass matrix for linear hyperbolic problems
R Abgrall, P Bacigaluppi, S Tokareva
Numerical Mathematics and Advanced Applications ENUMATH 2015, 75-86, 2016
142016
Machine learning approaches for the solution of the riemann problem in fluid dynamics: a case study
V Gyrya, M Shashkov, A Skurikhin, S Tokareva
Communications on Applied Mathematics and Computation, 1-28, 2024
122024
Stochastic finite volume methods for computational uncertainty quantification in hyperbolic conservation laws
S Tokareva
ETH Zurich, 2013
122013
Uncertainty quantification methodology for hyperbolic systems with application to blood flow in arteries
M Petrella, S Tokareva, EF Toro
Journal of Computational Physics 386, 405-427, 2019
92019
A Posteriori
P Bacigaluppi, R Abgrall, S Tokareva
Limited High Order and Robust Residual Distribution Schemes for Transient …, 2019
92019
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