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Truong Nguyen 0003
Person information
- affiliation: Los Alamos National Laboratory, Applied Mathematics and Plasma Physics Group, Theoretical Division, NM, USA
- affiliation: Wright State University, Department of Mathematics and Statistics, Dayton, OH, USA
Other persons with the same name
- Truong Nguyen — disambiguation page
- Truong Nguyen 0001
(aka: Truong Nguyen-Ly 0001, Thien Truong Nguyen-Ly 0001) — Ho Chi Minh City University of Technology (HCMUT), Department of Electronics Engineering, Faculty of Electrical and Electronics Engineering, Vietnam (and 4 more) - Truong Q. Nguyen
(aka: Truong Nguyen 0002) — University of California San Diego (UCSD), Department of Electrical and Computer Engineering, CA, USA
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2020 – today
- 2021
[j4]Mohamed H. M. Sulman, Truong B. Nguyen, Ronald D. Haynes
, Weizhang Huang
:
Domain decomposition parabolic Monge-Ampère approach for fast generation of adaptive moving meshes. Comput. Math. Appl. 84: 97-111 (2021)
[j3]Guangye Chen
, Luis Chacón
, Truong B. Nguyen:
An unsupervised machine-learning checkpoint-restart algorithm using Gaussian mixtures for particle-in-cell simulations. J. Comput. Phys. 436: 110185 (2021)
[i3]Guangye Chen, Luis Chacón, Truong B. Nguyen:
An unsupervised machine-learning checkpoint-restart algorithm using Gaussian mixtures for particle-in-cell simulations. CoRR abs/2105.13797 (2021)- 2020
[i2]Mohamed H. M. Sulman, Truong Nguyen
, Ronald D. Haynes, Weizhang Huang:
Domain Decomposition Parabolic Monge-Ampère Approach for Fast Generation of Adaptive Moving Meshes. CoRR abs/2006.14602 (2020)
[i1]Truong Nguyen
, Guangye Chen, Luis Chacón:
An Adaptive EM Accelerator for Unsupervised Learning of Gaussian Mixture Models. CoRR abs/2009.12703 (2020)
2010 – 2019
- 2019
[j2]Mohamed H. M. Sulman
, Truong Nguyen
:
A positivity preserving adaptive moving mesh method for cancer cell invasion models. J. Comput. Appl. Math. 361: 487-501 (2019)
[j1]Mohamed H. M. Sulman
, Truong Nguyen
:
A Positivity Preserving Moving Mesh Finite Element Method for the Keller-Segel Chemotaxis Model. J. Sci. Comput. 80(1): 649-666 (2019)

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