Svetlana Tokareva

According to our database, Svetlana Tokareva authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Model order reduction techniques for the stochastic finite volume method.

Ray Qu, Jesse Chan, Svetlana Tokareva

CoRR, July, 2025

Adaptive Uncertainty Quantification for Stochastic Hyperbolic Conservation Laws.

Jake J. Harmon, Svetlana Tokareva, Anatoly Zlotnik, Pieter J. Swart

SIAM/ASA J. Uncertain. Quantification, 2025

The tensor-train stochastic finite volume method for uncertainty quantification.

Steven Walton, Svetlana Tokareva, Gianmarco Manzini

J. Comput. Phys., 2025

Setpoint Tracking and Disturbance Attenuation for Gas Pipeline Flow Subject to Uncertainties using Backstepping.

Bhathiya Rathnayake, Anatoly Zlotnik, Svetlana Tokareva, Mamadou Diagne

Proceedings of the 2025 American Control Conference, 2025

2024

Implicit-explicit Runge-Kutta for radiation hydrodynamics I: Gray diffusion.

Ben S. Southworth, Hyeongkae Park, Svetlana Tokareva, Marc Charest

J. Comput. Phys., 2024

The Tensor-Train Stochastic Finite Volume Method for Uncertainty Quantification.

Steven Walton, Svetlana Tokareva, Gianmarco Manzini

CoRR, 2024

Stochastic Active Discretizations for Accelerating Temporal Uncertainty Management of Gas Pipeline Loads.

Jake J. Harmon, Svetlana Tokareva, Anatoly Zlotnik

CoRR, 2024

Stochastic Finite Volume Method for Uncertainty Management in Gas Pipeline Network Flows.

Saif R. Kazi, Sidhant Misra, Svetlana Tokareva, Kaarthik Sundar, Anatoly Zlotnik

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Implicit-explicit Runge-Kutta for radiation hydrodynamics I: gray diffusion.

Ben S. Southworth, Ryosuke Park, Svetlana Tokareva, Marc Charest

CoRR, 2023

2022

Stochastic Finite Volume Method for Uncertainty Quantification of Transient Flow in Gas Pipeline Networks.

Svetlana Tokareva, Anatoly Zlotnik, Vitaliy Gyrya

CoRR, 2022