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20232026
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11 papers · 1 filter

math.NA2026

On the Role of Split Formulations on Aliasing Errors and Entropy Stability of Discontinuous Galerkin Schemes

Mathias Dufresne-Piché, Siva Nadarajah

In this work, we formally investigate the dealiasing properties of split form discontinuous Galerkin (DG) discretizations for the one-dimensional Burgers problem. By generalizing t…

math.NA2026

A Space-time Approach to Entropy-Stable Discontinuous Galerkin and Flux Reconstruction

Carolyn M. V. Pethrick, Siva Nadarajah

We present a high-order space-time discretization equipped with fully-discrete entropy stability properties for general choices of volume and surface quadrature rules. The formulat…

math.NA2025

An Adaptive Flux Reconstruction Scheme for Robust Shock Capturing

Sai Shruthi Srinivasan, Siva Nadarajah

In the case of hyperbolic conservation laws, high-order methods, such as the classical DG method, experience the phenomenon of unwanted high-frequency oscillations in the vicinity…

math.NA2025

On the Superconvergence of ESFR Schemes

Mathias Dufresne-Piché, Siva Nadarajah

The energy stable flux reconstruction (ESFR) method provides an efficient and flexible framework to devise high-order linearly stable numerical schemes which can achieve high level…

math.NA2025

Linearly Stable Generalizations of ESFR Schemes

Mathias Dufresne-Piché, Siva Nadarajah

The energy stable flux reconstruction (ESFR) method encompasses an infinite family of high-order, linearly stable schemes and thus provides a flex- ible and efficient framework for…

math.NA2025

Investigation of Shock-Capturing with Bound-Preserving Limiters for the Nonlinearly Stable Flux Reconstruction Method

Sai Shruthi Srinivasan, Siva Nadarajah

Nonlinearly stable flux reconstruction (NSFR) combines the key properties of provable nonlinear stability with the increased time step from energy-stable flux reconstruction. The N…

math.NA2025

A stabilized march approach to adjoint-based sensitivity analysis of chaotic flows

Pranshul Thakur, Siva Nadarajah

Adjoint-based sensitivity analysis is of interest in computational science due to its ability to compute sensitivities at a lower cost with respect to several design parameters. Ho…

math.NA2025

Adjoint of Least Squares Shadowing: Existence, Uniqueness and Coarse Domain Discretization

Pranshul Thakur, Siva Nadarajah

Chaotic dynamical systems are characterized by the sensitive dependence of trajectories on initial conditions. Conventional sensitivity analysis of time-averaged functionals yields…

math.NA2024

Fully-Discretely Nonlinearly-Stable Flux Reconstruction Methods for Compressible Flows

Carolyn M V Pethrick, Siva Nadarajah

A fully-discrete, nonlinearly-stable flux reconstruction (FD-NSFR) scheme is developed, which ensures robustness through entropy stability in both space and time for high-order flu…

math.NA2024

Adjoint-based goal-oriented implicit shock tracking using full space mesh optimization

Pranshul Thakur, Siva Nadarajah

Solutions to the governing partial differential equations obtained from a discrete numerical scheme can have significant errors, especially near shocks when the discrete representa…

math.NA2023

Discretely Nonlinearly Stable Weight-Adjusted Flux Reconstruction High-Order Method for Compressible Flows on Curvilinear Grids

Alexander Cicchino, Siva Nadarajah

Provable nonlinear stability bounds the discrete approximation and ensures that the discretization does not diverge. For high-order methods, discrete nonlinear stability and entrop…