Journals
- J. Jiang, Y. Chen and A. Narayan. A Goal-oriented Reduced Basis Methods-accelerated Generalized Polynomial Chaos Algorithm. SIAM/ASA Journal on Uncertainty Quantification, 4-1 (2016), pp. 1398-1420
- J. Jiang, Y. Chen and A. Narayan. Offline-enhanced Reduced Basis Method through Adaptive Construction of the Surrogate Training Set. Journal of Scientific Computing, Special Issue in Honor of the 60th Birthday of Chi Wang Shu, 2017
- B. Dong, J. Jiang and Y. Chen. Optimally Convergent Hybridizable Discontinuous Galerkin Method for Fifth-order Korteweg-de Vries Type Equations. Accepted by Mathematical Modeling and Numerical Analysis (ESAIM: M2AN), 2018
- Y. Chen, J. Jiang and A. Narayan. Residual-based and Residual-free Greedy Algorithms for Reduced Basis Methods.
Accepted by Computers & Mathematics with Applications (CAMWA), 2018
- J. Jiang, R. Tuminaro, K. Carlberg. Acceleration Strategies for Uncertainty Propagation via Overlapping Domain Decomposition. [ In preparation ]
- J. Jiang, Y. Chen. Ultra-efficient Reduced Basis Method for High-dimensional Parameterized Partial Differential Equations.
[ In preparation ]
- J. Jiang, J. Chung, E. Sturler. Truncation and Recycling Methods for Lanczos Bidiagonalization and Hybrid Regularization.
[ In preparation ]
Technical Report
Thesis
- J. Jiang. Reduced Basis Methods and Hybridizable Discontinuous Galerkin Method for Efficient Forward Solvers. Ph.D. Dissertation, 2018