R. K. Lagrangian-form-of and .. , 22 5.3.1 Free P-unisolvent set, p.26

N. Cressie, Statistics for spatial data, 1993.
DOI : 10.1002/9781119115151

G. Kimeldorf and G. Wahba, Some results on Tchebycheffian spline functions, Journal of Mathematical Analysis and Applications, vol.33, issue.1, pp.82-95, 1971.
DOI : 10.1016/0022-247X(71)90184-3

J. R. Koehler and A. B. Owen, 9 Computer experiments, Handbook of Statist, vol.13, pp.261-308, 1996.
DOI : 10.1016/S0169-7161(96)13011-X

R. Schaback, Native Hilbert spaces for radial basis functions. I. In New developments in approximation theory, Internat. Ser. Numer. Math, vol.132, pp.255-282, 1998.
DOI : 10.1007/978-3-0348-8696-3_16

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.309.5474

R. Schaback, Kernel-based meshless methods, 2007.

E. Vasquez, Modélisation comportementale de systèmes non-linéaires multivariables par méthodesméthodes`méthodesà noyaux et applications, 2005.

G. Wahba, Spline models for observational data, CBMS-NSF Regional Conference Series in Applied Mathematics. Society for Industrial and Applied Mathematics (SIAM), vol.59, 1990.
DOI : 10.1137/1.9781611970128

H. Wendland, Spatial coupling in aeroelasticity by meshless kernel-based methods, ECCOMAS CFD, 2006.

H. Wendland, Scattered data approximation, Cambridge Monographs on Applied and Computational Mathematics, vol.17, 2005.
DOI : 10.1017/CBO9780511617539