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Journal Articles
- 2020
[j10]John V. Burkardt, Max D. Gunzburger, Wenju Zhao
:
High-precision computation of the weak Galerkin methods for the fourth-order problem. Numer. Algorithms 84(1): 181-205 (2020)- 2016
- [j9]Feifei Xu, Max D. Gunzburger, John V. Burkardt, Qiang Du:
A Multiscale Implementation Based on Adaptive Mesh Refinement for the Nonlocal Peridynamics Model in One Dimension. Multiscale Model. Simul. 14(1): 398-429 (2016) - [j8]Guannan Zhang, Clayton G. Webster, Max D. Gunzburger, John V. Burkardt:
Hyperspherical Sparse Approximation Techniques for High-Dimensional Discontinuity Detection. SIAM Rev. 58(3): 517-551 (2016) - 2015
- [j7]Guannan Zhang, Clayton G. Webster, Max D. Gunzburger, John V. Burkardt:
A Hyperspherical Adaptive Sparse-Grid Method for High-Dimensional Discontinuity Detection. SIAM J. Numer. Anal. 53(3): 1508-1536 (2015) - 2009
- [j6]Hoa Nguyen, John V. Burkardt, Max D. Gunzburger, Lili Ju, Yuki Saka:
Constrained CVT meshes and a comparison of triangular mesh generators. Comput. Geom. 42(1): 1-19 (2009) - 2006
- [j5]Vicente J. Romero, John V. Burkardt, Max D. Gunzburger, Janet S. Peterson:
Comparison of pure and "Latinized" centroidal Voronoi tessellation against various other statistical sampling methods. Reliab. Eng. Syst. Saf. 91(10-11): 1266-1280 (2006) - [j4]John V. Burkardt, Max D. Gunzburger, Hyung-Chun Lee:
Centroidal Voronoi Tessellation-Based Reduced-Order Modeling of Complex Systems. SIAM J. Sci. Comput. 28(2): 459-484 (2006) - 2000
- [j3]Greg Hood, John V. Burkardt, Greg Foss:
Visualizing the visual system. Neurocomputing 32-33: 801-808 (2000) - 1983
- [j2]Werner C. Rheinboldt, John V. Burkardt:
A locally parameterized continuation process. ACM Trans. Math. Softw. 9(2): 215-235 (1983) - [j1]Werner C. Rheinboldt, John V. Burkardt:
Algorithm 596: a program for a locally parameterized. ACM Trans. Math. Softw. 9(2): 236-241 (1983)
Coauthor Index
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