The problem of the numerical approximation of multivariable functions has been solved by the Monte Carlo method when the data points are assumed to be given on discrete lattice points [5, 8, 2]. When the data points are randomly distributed and very numerous there are some results in the literature [3, 6] but if the number of the points is less than 2k, where k is the dimension of the space, it is very difficult to develop approximation formulas. This paper gives a solution to this problem by local approximations. © 1981 Springer-Verlag.
Bozzini, M., Lenarduzzi, L. (1981). APPROXIMATION OF MULTIVARIABLE FUNCTIONS WITH RESPECT TO RANDOM POINTS LESS THAN 2K, K-DIMENSION OF SPACE. NUMERISCHE MATHEMATIK, 37(2), 193-203 [10.1007/BF01398252].
APPROXIMATION OF MULTIVARIABLE FUNCTIONS WITH RESPECT TO RANDOM POINTS LESS THAN 2K, K-DIMENSION OF SPACE
BOZZINI, MARIA TUGOMIRA;
1981
Abstract
The problem of the numerical approximation of multivariable functions has been solved by the Monte Carlo method when the data points are assumed to be given on discrete lattice points [5, 8, 2]. When the data points are randomly distributed and very numerous there are some results in the literature [3, 6] but if the number of the points is less than 2k, where k is the dimension of the space, it is very difficult to develop approximation formulas. This paper gives a solution to this problem by local approximations. © 1981 Springer-Verlag.
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