Research

My research interests include DG finite element methods, variational inequalities, PDE-constrained optimization, numerical optimization, physics informed machine learning.

Collaborators

Research Projects

Elliptic optimal control problem with control constraints

We proposed a numerical scheme to reduce an elliptic optimal control problem with control constraints to a finite-dimensional optimization problem with equality and inequality-type constraints and established the order of convergence of the error as we refine the triangulation of the polygonal domain $\Omega \subset \mathbb{R}^2$. Read more

Parabolic variational inequality

By utilizing a symmetric dual-wind DG (DWDG) spatial discretization and a backward Euler temporal discretization, we proposed a fully discrete scheme designed to solve a parabolic variational inequality. We also determined the rate of convergence of the error in space and time in suitable norms. Read more

Peer-Reviewed Publications

Boyana, S. B., Lewis, T., Rapp, A., Zhang, Y. (2023). Convergence analysis of a symmetric dual-wind discontinuous Galerkin method for a parabolic variational inequality. Journal of Computational and Applied Mathematics, 422, 114922.
https://doi.org/10.1016/j.cam.2022.114922
Supported by NSF grants DMS-2111059 (PI: T. Lewis) and DMS-2111004 (PI: Y. Zhang)

Papers in review

Boyana, S. B., Lewis, T., Liu, S., Zhang, Y. Convergence Analysis of a Novel Discontinuous Galerkin Methods for a Convection Dominated Problem. Journal of Computers and Mathematics with Applications.
Manuscript #: CAMWA-D-24-00505
Supported by NSF grants DMS-2111004 (PI: Y. Zhang), DMS-2111059 (PI: T. Lewis) & DMS-1929284 (PI: S. Liu)


Currently available on arXiv

Manuscripts in Preparation

Boyana, S. B., Lewis, T., Zhang, Y. Convergence Analysis of a Symmetric Dual-Wind Discontinuous Galerkin Methods for an Elliptic Optimal Control Problem with Control Constraints.
Supported by NSF grant DMS-2111004 (PI: Y. Zhang)