| User Manual: TASMANIAN Sparse Grids v4. 0 M Stoyanov | 87* | |
| A dynamically adaptive sparse grids method for quasi-optimal interpolation of multidimensional functions MK Stoyanov, CG Webster Computers & Mathematics with Applications, 2016 | 66* | 2016 |
| Quantifying the impact of single bit flips on floating point arithmetic J Elliott, F Mueller, M Stoyanov, C Webster Tech. Rep. ORNL/TM-2013/282, Oak Ridge National Laboratory, One Bethel …, 2013 | 65 | 2013 |
| Pink noise, 1/f α noise, and their effect on solutions of differential equations M Stoyanov, M Gunzburger, J Burkardt International Journal for Uncertainty Quantification 1 (3), 2011 | 43 | 2011 |
| Calibration of the E3SM Land Model Using Surrogate‐Based Global Optimization D Lu, D Ricciuto, M Stoyanov, L Gu Journal of Advances in Modeling Earth Systems 10 (6), 1337-1356, 2018 | 31 | 2018 |
| Numerical analysis of fixed point algorithms in the presence of hardware faults MK Stoyanov, CG Webster Tech. Rep. ORNL/TM-2013/283, Oak Ridge National Laboratory, One Bethel …, 2013 | 28 | 2013 |
| Application of High Performance Computing for Simulating Cycle-to-Cycle Variation in Dual-Fuel Combustion Engines RS Jupudi, CEA Finney, R Primus, S Wijeyakulasuriya, AE Klingbeil, ... SAE Technical Paper, 2016 | 25 | 2016 |
| A gradient-based sampling approach for dimension reduction of partial differential equations with stochastic coefficients M Stoyanov, CG Webster International Journal for Uncertainty Quantification 5 (1), 2015 | 24 | 2015 |
| Adaptive Sparse Grid Construction in a Context of Local Anisotropy and Multiple Hierarchical Parents M Stoyanov Sparse Grids and Applications-Miami 2016, 175-199, 2018 | 23 | 2018 |
| Hierarchy-direction selective approach for locally adaptive sparse grids M Stoyanov Tech. Rep. ORNL/TM-2013/384, Oak Ridge National Laboratory, 2013. 17, 2013 | 23 | 2013 |
| Scalability issues in FFT computation A Ayala, S Tomov, M Stoyanov, J Dongarra Parallel Computing Technologies: 16th International Conference, PaCT 2021 …, 2021 | 19 | 2021 |
| A method for dimensionally adaptive sparse trigonometric interpolation of periodic functions Z Morrow, M Stoyanov SIAM Journal on Scientific Computing 42 (4), A2436-A2460, 2020 | 18 | 2020 |
| Calibrating uncertain parameters in melt pool simulations of additive manufacturing GL Knapp, J Coleman, M Rolchigo, M Stoyanov, A Plotkowski Computational Materials Science 218, 111904, 2023 | 17 | 2023 |
| Linear feedback control of a von Kármán street by cylinder rotation J Borggaard, M Stoyanov, L Zietsman Proceedings of the 2010 American Control Conference, 5674-5681, 2010 | 17 | 2010 |
| Power-Law Noises over General Spatial Domains and on Nonstandard Meshes HW van Wyk, M Gunzburger, J Burkhardt, M Stoyanov SIAM/ASA Journal on Uncertainty Quantification 3 (1), 296-319, 2015 | 14 | 2015 |
| Application of High Performance Computing for Simulating the Unstable Dynamics of Dilute Spark-Ignited Combustion CEA Finney, MK Stoyanov, S Pannala, CS Daw, RM Wagner, ... International Conference on Theory and Application in Nonlinear Dynamics …, 2014 | 13 | 2014 |
| On Commutation of Reduction and Control: Linear Feedback Control of a von Kármán Vortex Street I Akhtar, J Borggaard, M Stoyanov, L Zietsman 5th Flow Control Conference, 4832, 2010 | 11 | 2010 |
| An efficient long-time integrator for Chandrasekhar equations J Borggaard, M Stoyanov 2008 47th IEEE Conference on Decision and Control, 3983-3988, 2008 | 10 | 2008 |
| Reduced order methods for large scale Riccati equations M Stoyanov Virginia Tech, 2009 | 9 | 2009 |
| Accelerating multi-process communication for parallel 3-D FFT A Ayala, S Tomov, M Stoyanov, A Haidar, J Dongarra 2021 Workshop on Exascale MPI (ExaMPI), 46-53, 2021 | 7 | 2021 |
