Timur Takhtaganov
TitleCited byYear
Conditional-value-at-risk estimation via reduced-order models
M Heinkenschloss, B Kramer, T Takhtaganov, K Willcox
SIAM/ASA Journal on Uncertainty Quantification 6 (4), 1395-1423, 2018
82018
Adaptive Gaussian process surrogates for Bayesian inference
T Takhtaganov, J Müller
arXiv preprint arXiv:1809.10784, 2018
22018
Adaptive Reduced-Order Model Construction for Conditional Value-at-Risk Estimation
M Heinkenschloss, B Kramer, T Takhtaganov
12019
Efficient estimation of coherent risk measures for risk-averse optimization problems governed by partial differential equations with random inputs
T Takhtaganov
12017
OPTIMIZATION UNDER UNCERTAINTY FOR THE SHOCKLEY AND THE DRIFT-DIFFUSION MODELS OF A DIODE
TA TAKHTAGANOV, DP KOURI, D RIDZAL, E KEITER
CCR, 165, 2014
12014
Cosmic Inference: Constraining Parameters With Observations and Highly Limited Number of Simulations
T Takhtaganov, Z Lukic, J Mueller, D Morozov
arXiv preprint arXiv:1905.07410, 2019
2019
Xyce
HK Thomquist, DA Fixel, DB Fett, N Johnson, L Boucheron, DN Bames, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017
2017
High-dimensional integration for optimization under uncertainty
TA Takhtaganov
Rice University, 2015
2015
Electrochemical energy storage devices
AA Hernandez, G Li, S Nguyen, F Smith, T Takhtaganov
University of Minnesota. Institute for Mathematics and Its Applications, 2014
2014
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Articles 1–9