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Miroslav Stoyanov
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User Manual: TASMANIAN Sparse Grids v4. 0
M Stoyanov
89*
A dynamically adaptive sparse grids method for quasi-optimal interpolation of multidimensional functions
MK Stoyanov, CG Webster
Computers & Mathematics with Applications, 2016
68*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
682013
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
452011
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
332018
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
282013
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
252016
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
242023
Scalability issues in FFT computation
A Ayala, S Tomov, M Stoyanov, J Dongarra
Parallel Computing Technologies: 16th International Conference, PaCT 2021 …, 2021
242021
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
242018
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
242015
Hierarchy-direction selective approach for locally adaptive sparse grids
M Stoyanov
Tech. Rep. ORNL/TM-2013/384, Oak Ridge National Laboratory, 2013. 17, 2013
242013
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
192020
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
172010
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
142015
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
132014
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
112010
An efficient long-time integrator for Chandrasekhar equations
J Borggaard, M Stoyanov
2008 47th IEEE Conference on Decision and Control, 3983-3988, 2008
102008
Reduced order methods for large scale Riccati equations
M Stoyanov
Virginia Tech, 2009
92009
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
82021
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