Kernel-based approximation methods: a deterministic or stochastic problem?

发布时间: 2017-11-02 15:30:18

参考文献：

1、Qi Ye. Kernel-based approximation methods for partial differential equations: deterministic or stochastic problems? Approximation Theory XV: San Antonio 2016, Editors: Gregory E. Fasshauer, Larry L. Schumaker, Springer, pp 375-398, Cham, 2017. DOI: 10.1007/978-3-319-59912-0_19

2、Qi Ye. Generalizations of kriging methods in spatial data analysis. Meshfree Methods for Partial Differential Equations VIII, Editors: Michael Griebel, Marc Alexander Schweitzer, Springer-Verlag Berlin Heidelberg, pp 145-166, Germany, 2017. DOI: 10.1007/978-3-319-51954-8_8