hermite | R Documentation |
Computes univariate and multivariate Hermite polynomials.
hermite(order, sigma = 1, var = "x", transform = NULL)
order |
the order of the Hermite polynomial. |
sigma |
the covariance |
var |
|
transform |
|
Hermite polynomials are obtained by differentiation of the Gaussian kernel:
H_{ν}(x,Σ) = exp \Bigl( \frac{1}{2} x_i Σ_{ij} x_j \Bigl) (- \partial_x )^ν exp \Bigl( -\frac{1}{2} x_i Σ_{ij} x_j \Bigl)
where Σ is a d-dimensional square matrix and ν=(ν_1 … ν_d) is the vector representing the order of differentiation for each variable x = (x_1… x_d). In the case where Σ=1 and x=x_1 the formula reduces to the standard univariate Hermite polynomials:
H_{ν}(x) = e^{\frac{x^2}{2}}(-1)^ν \frac{d^ν}{dx^ν}e^{-\frac{x^2}{2}}
If transform
is not NULL
, the variables var
x are replaced with
transform
f(x) to compute the polynomials H_{ν}(f(x),Σ)
list
of Hermite polynomials with components:
the Hermite polynomial.
the order of the Hermite polynomial.
data.frame
containing the variables, coefficients and degrees of each term in the Hermite polynomial.
Guidotti E (2022). "calculus: High-Dimensional Numerical and Symbolic Calculus in R." Journal of Statistical Software, 104(5), 1-37. doi: 10.18637/jss.v104.i05
Other polynomials:
taylor()
### univariate Hermite polynomials up to order 3 hermite(3) ### multivariate Hermite polynomials up to order 2 hermite(order = 2, sigma = matrix(c(1,0,0,1), nrow = 2), var = c('z1', 'z2')) ### multivariate Hermite polynomials with transformation of variables hermite(order = 2, sigma = matrix(c(1,0,0,1), nrow = 2), var = c('z1', 'z2'), transform = c('z1+z2','z1-z2'))
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