Ian H. Sloan
Affiliations: | Hong Kong Polytechnic University (Hong Kong) |
Area:
Applied Mathematics, MathematicsGoogle:
"Ian Sloan"Children
Sign in to add trainee| Congpei An | grad student | 2011 | Hong Kong Polytechnic University (Hong Kong) |
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Publications
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| Hesse K, Sloan IH, Womersley RS. (2021) Local RBF-based penalized least-squares approximation on the sphere with noisy scattered data Journal of Computational and Applied Mathematics. 382: 113061 |
| Gia QTL, Sloan IH, Womersley RS, et al. (2020) Isotropic sparse regularization for spherical harmonic representations of random fields on the sphere Applied and Computational Harmonic Analysis. 49: 257-278 |
| Kazashi Y, Kuo FY, Sloan IH. (2019) Derandomised lattice rules for high dimensional integration Anziam Journal. 60 |
| Gilbert AD, Graham IG, Kuo FY, et al. (2019) Analysis of quasi-Monte Carlo methods for elliptic eigenvalue problems with stochastic coefficients Numerische Mathematik. 142: 863-915 |
| Graham IG, Kuo FY, Nuyens D, et al. (2018) Circulant embedding with QMC: analysis for elliptic PDE with lognormal coefficients. Numerische Mathematik. 140: 479-511 |
| Brauchart JS, Reznikov AB, Saff EB, et al. (2018) Random Point Sets on the Sphere—Hole Radii, Covering, and Separation Experimental Mathematics. 27: 62-81 |
| Gilbert AD, Kuo FY, Sloan IH. (2018) Hiding the weights—CBC black box algorithms with a guaranteed error bound Mathematics and Computers in Simulation. 143: 202-214 |
| Griewank A, Kuo FY, Leövey H, et al. (2018) High dimensional integration of kinks and jumps—Smoothing by preintegration Journal of Computational and Applied Mathematics. 344: 259-274 |
| Feischl M, Kuo FY, Sloan IH. (2018) Fast random field generation with H -matrices Numerische Mathematik. 140: 639-676 |
| Kuo FY, Scheichl R, Schwab C, et al. (2017) Multilevel Quasi-Monte Carlo methods for lognormal diffusion problems Ieee Communications Magazine. 86: 2827-2860 |