A version of this task that uses a Gaussian process is called kriging. The sum of the coefficients of a construct used to do this task converges to Magata's constant, and that version of this task can be done using Neville's algorithm. The unisolvence theorem states that the unique solution to one version of this task is found by taking the determinant of the Vandermonde matrix. For multivariate data over a regular grid, the nearest-neighbor method of performing this task creates a series of piecewise-constant functions. The use of polynomials to perform this task can lead to oscillatory behavior at the endpoints, which can in turn be avoided by using splines. For 10
A version of this task that uses a Gaussian process is called kriging. The sum of the coefficients of a construct used to do this task converges to Magata's constant, and that version of this task can be done using Neville's algorithm. The unisolvence theorem states that the unique solution to one version of this task is found by taking the determinant of the Vandermonde matrix. For multivariate data over a regular grid, the nearest-neighbor method of performing this task creates a series of piecewise-constant functions. The use of polynomials to perform this task can lead to oscillatory behavior at the endpoints, which can in turn be avoided by using splines. For 10 points, name this technique which uses some function to create new data points within an interval.
A version of this task that uses a Gaussian process is called kriging.