| Efficient Estimation of Cardiac Conductivities via POD-DEIM Model Order Reduction H Yang, A Veneziani Applied Numerical Mathematics, 2016 | 51 | 2016 |
| Estimation of cardiac conductivities in ventricular tissue by a variational approach H Yang, A Veneziani Inverse Problems, 2015 | 30 | 2015 |
| System and Method for Patient-Specific Image-Based Simulation of Artial Electrophysiology H Yang, T Passerini, B Georgescu, T Mansi, D Comaniciu US Patent 20,160,058,520, 2016 | 29 | 2016 |
| An artificial compressibility Crank--Nicolson leap-frog method for the Stokes--Darcy model and application in ensemble simulations N Jiang, Y Li, H Yang SIAM Journal on Numerical Analysis 59 (1), 401-428, 2021 | 27 | 2021 |
| SAV decoupled ensemble algorithms for fast computation of Stokes–Darcy flow ensembles N Jiang, H Yang Computer Methods in Applied Mechanics and Engineering 387, 114150, 2021 | 19 | 2021 |
| Algorithms and analyses for stochastic optimization for turbofan noise reduction using parallel reduced-order modeling H Yang, M Gunzburger Computer Methods in Applied Mechanics and Engineering 319, 217-239, 2017 | 19 | 2017 |
| Stabilized scalar auxiliary variable ensemble algorithms for parameterized flow problems N Jiang, H Yang SIAM Journal on Scientific Computing 43 (4), A2869-A2896, 2021 | 16 | 2021 |
| Fast spherical centroidal Voronoi mesh generation: A Lloyd-preconditioned LBFGS method in parallel H Yang, M Gunzburger, L Ju Journal of Computational Physics 367, 235-252, 2018 | 10 | 2018 |
| Variational estimation of cardiac conductivities by a data assimilation procedure H Yang, A Veneziani Technical report, Technical Report TR-2013-007, Math&CS, Emory University …, 2013 | 7 | 2013 |
| A second order ensemble method with different subdomain time steps for simulating coupled surface‐groundwater flows N Jiang, Y Li, H Yang Numerical Methods for Partial Differential Equations 38 (6), 1880-1907, 2022 | 5 | 2022 |
| Numerical investigation of two second-order, stabilized SAV ensemble methods for the Navier–Stokes equations N Jiang, H Yang Advances in Computational Mathematics 48 (5), 65, 2022 | 4 | 2022 |
| Parameter Estimation and Reduced-order Modeling in Electrocardiology H Yang Emory University, 2015 | 4 | 2015 |
| Artificial compressibility SAV ensemble algorithms for the incompressible Navier-Stokes equations N Jiang, H Yang Numerical Algorithms 92 (4), 2161-2188, 2023 | 3 | 2023 |
| Electromagnetic scattering from a cavity embedded in an impedance ground plane K Du, B Li, W Sun, H Yang Mathematical Methods in the Applied Sciences, 2018 | 3 | 2018 |
| Fast and Accurate Artificial Compressibility Ensemble Algorithms for Computing Parameterized Stokes–Darcy Flow Ensembles N Jiang, H Yang Journal of Scientific Computing 94 (1), 17, 2023 | 2 | 2023 |
| Data-driven model reduction for fast, high-fidelity atrial electrophysiology computations H Yang, T Passerini, T Mansi, D Comaniciu Functional Imaging and Modeling of the Heart, Lecture Notes in Computer Science, 2015 | 2 | 2015 |
| On the generalizations of Denjoy-Wolff theorem L Xu, H Yang Acta Mathematica Scientia 32 (4), 1333-1337, 2012 | 2 | 2012 |
| Unconditionally stable, second order, decoupled ensemble schemes for computing evolutionary Boussinesq equations N Jiang, H Yang Applied Numerical Mathematics 192, 241-260, 2023 | 1 | 2023 |
| A second order ensemble algorithm for computing the Navier-Stokes equations N Jiang, H Yang Journal of Mathematical Analysis and Applications 530 (1), 127674, 2024 | | 2024 |
| Highly efficient ensemble algorithms for computing the Stokes–Darcy equations N Jiang, H Yang Computer Methods in Applied Mechanics and Engineering 418, 116562, 2024 | | 2024 |
Alessandro VenezianiMathematics, Computer Science, Emory University , USAПідтверджена електронна адреса в mathcs.emory.edu
