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2020 – today
- 2021
[i3]Kevin Williamson, Heyrim Cho, Bedrich Sousedík:
Application of adaptive ANOVA and reduced basis methods to the stochastic Stokes-Brinkman problem. CoRR abs/2102.06923 (2021)- [i2]Allison L. Lewis, Kathleen M. Storey, Heyrim Cho, Anna C. Zittle:
Utilizing gradient approximations to optimize data selection protocols for tumor growth model calibration. CoRR abs/2112.13260 (2021) - 2020
- [e1]George Bebis, Max A. Alekseyev, Heyrim Cho, Jana Gevertz, María Rodríguez Martínez:
Mathematical and Computational Oncology - Second International Symposium, ISMCO 2020, San Diego, CA, USA, October 8-10, 2020, Proceedings. Lecture Notes in Computer Science 12508, Springer 2020, ISBN 978-3-030-64510-6 [contents] - [i1]Heyrim Cho, Allison L. Lewis, Kathleen M. Storey:
Bayesian information-theoretic calibration of patient-specific radiotherapy sensitivity parameters for informing effective scanning protocols in cancer. CoRR abs/2009.02620 (2020)
2010 – 2019
- 2016
- [j3]Heyrim Cho
, Daniele Venturi, George E. Karniadakis:
Numerical methods for high-dimensional probability density function equations. J. Comput. Phys. 305: 817-837 (2016) - 2015
- [j2]Heyrim Cho, Xiu Yang, Daniele Venturi, George E. Karniadakis:
Algorithms for Propagating Uncertainty Across Heterogeneous Domains. SIAM J. Sci. Comput. 37(6) (2015) - 2013
- [j1]Heyrim Cho, Daniele Venturi, George E. Karniadakis:
Adaptive Discontinuous Galerkin Method for Response-Excitation PDF Equations. SIAM J. Sci. Comput. 35(4) (2013)
Coauthor Index
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