Sijing Liu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Sijing Liu has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Erik Burman
Department of Mathematics, University College London, London, United Kingdom
2 shared publications - Johnny Guzmán
Division of Applied Mathematics , Brown University , Box F, 182 George Street , Providence , RI 02912 , USA
2 shared publications - Miguel Angel Fernández
Sorbonne Universite & CNRS, UMR 7598 LJLL, Paris, France
2 shared publications Jinjin Zhang
1 shared publication- Rebecca Durst
Argonne National Laboratory, Lemont, USA
1 shared publication - Satyajith Bommana Boyana
Department of Applied Mathematics Florida Polytechnic University Lakeland FL USA
1 shared publication
Latest Publications
- Open Access
A monotone finite element method for an elliptic distributed optimal control problem with a convection-dominated state equation
We propose and analyze a monotone finite element method for an elliptic distributed optimal control problem constrained by a convection-diffusion-reaction equation in the convection-dominated regime. The method is based on the edge-averaged finite element (EAFE) scheme, which is known to preserve the discrete maximum principle for convection-diffusion problems. We show that the EAFE discretization inherits the monotonicity property of the continuous problem and consequently preserves the desired-state bounds at the discrete level, ensuring that the numerical optimal state remains stable and free of nonphysical oscillations. The discrete formulation is analyzed using a combination of the EAFE consistency result and a discrete inf-sup condition, which together guarantee well-posedness and yield the optimal convergence order. Comprehensive numerical experiments are presented to confirm the theoretical findings and to demonstrate the robustness of the proposed scheme in the convection-dominated regimes.
Open AccessA monotone finite element method for an elliptic distributed optimal control problem with a convection-dominated state equation
We propose and analyze a monotone finite element method for an elliptic distributed optimal control problem constrained by a convection-diffusion-reaction equation in the convection-dominated regime. The method is based on the edge-averaged finite element (EAFE) scheme, which is known to preserve the discrete maximum principle for convection-diffusion problems. We show that the EAFE discretization inherits the monotonicity property of the continuous problem and consequently preserves the desired-state bounds at the discrete level, ensuring that the numerical optimal state remains stable and free of nonphysical oscillations. The discrete formulation is analyzed using a combination of the EAFE consistency result and a discrete inf-sup condition, which together guarantee well-posedness and yield the optimal convergence order. Comprehensive numerical experiments are presented to confirm the theoretical findings and to demonstrate the robustness of the proposed scheme in the convection-dominated regimes.
- Open Access
- 27 October 2025
- Published by Springer Nature in Numerical Algorithms
- Vol. 102 (4) , 1-9
Correction: Estimates of discrete time derivatives for the parabolic-parabolic Robin-Robin coupling method
- 27 October 2025
- Published by Springer Nature in Numerical Algorithms
- Vol. 102 (4) , 1-9
Open AccessCorrection: Estimates of discrete time derivatives for the parabolic-parabolic Robin-Robin coupling method
- Open Access
An Improved Robin-Robin Coupling Method for Parabolic-Parabolic Interface Problems
We consider a loosely coupled, non-iterative Robin-Robin coupling method proposed and analyzed in [Numer. Algorithms, 99:921-948, 2025] for a parabolic-parabolic interface problem. We modify the first step of the scheme so that several error difference quantities remain higher order convergence without requiring additional assumptions. Numerical results are presented to support our findings.
Open AccessAn Improved Robin-Robin Coupling Method for Parabolic-Parabolic Interface Problems
We consider a loosely coupled, non-iterative Robin-Robin coupling method proposed and analyzed in [Numer. Algorithms, 99:921-948, 2025] for a parabolic-parabolic interface problem. We modify the first step of the scheme so that several error difference quantities remain higher order convergence without requiring additional assumptions. Numerical results are presented to support our findings.
- Open Access
Convergence analysis of a balancing domain decomposition method for an elliptic optimal control problem with HDG discretizations
In this work, a balancing domain decomposition by constraints (BDDC) algorithm is applied to the nonsymmetric positive definite linear system arising from the hybridizable discontinuous Galerkin (HDG) discretization of an elliptic distributed optimal control problem. Convergence analysis for the BDDC preconditioned generalized minimal residual (GMRES) solver demonstrates that, when the subdomain size is small enough, the algorithm is robust with respect to the regularization parameter, and the number of iterations is independent of the number of subdomains and depends only slightly on the subdomain problem size. Numerical experiments are performed to confirm the theoretical results.
Open AccessConvergence analysis of a balancing domain decomposition method for an elliptic optimal control problem with HDG discretizations
In this work, a balancing domain decomposition by constraints (BDDC) algorithm is applied to the nonsymmetric positive definite linear system arising from the hybridizable discontinuous Galerkin (HDG) discretization of an elliptic distributed optimal control problem. Convergence analysis for the BDDC preconditioned generalized minimal residual (GMRES) solver demonstrates that, when the subdomain size is small enough, the algorithm is robust with respect to the regularization parameter, and the number of iterations is independent of the number of subdomains and depends only slightly on the subdomain problem size. Numerical experiments are performed to confirm the theoretical results.
- Open Access
Convergence Analysis of a Dual-Wind Discontinuous Galerkin Method for an Elliptic Optimal Control Problem with Control Constraints
This paper investigates a symmetric dual-wind discontinuous Galerkin (DWDG) method for solving an elliptic optimal control problem with control constraints. The governing constraint is an elliptic partial differential equation (PDE), which is discretized using the symmetric DWDG approach. We derive error estimates in the energy norm for both the state and the adjoint state, as well as in the $L^2$ norm of the control variable. Numerical experiments are provided to demonstrate the robustness and effectiveness of the developed scheme.Open AccessConvergence Analysis of a Dual-Wind Discontinuous Galerkin Method for an Elliptic Optimal Control Problem with Control Constraints
This paper investigates a symmetric dual-wind discontinuous Galerkin (DWDG) method for solving an elliptic optimal control problem with control constraints. The governing constraint is an elliptic partial differential equation (PDE), which is discretized using the symmetric DWDG approach. We derive error estimates in the energy norm for both the state and the adjoint state, as well as in the $L^2$ norm of the control variable. Numerical experiments are provided to demonstrate the robustness and effectiveness of the developed scheme.