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APPROXIMATION OF MULTIVARIABLE FUNCTIONS WITH RESPECT TO RANDOM POINTS LESS THAN 2K, K-DIMENSION OF SPACE
- Publication Year :
- 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.
Details
- Database :
- OAIster
- Notes :
- Bozzini, M, Lenarduzzi, L, BOZZINI, MARIA TUGOMIRA, Lenarduzzi, L.
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1308897062
- Document Type :
- Electronic Resource