multipol-package: Multivariate polynomials

In multipol: Multivariate Polynomials

Multivariate polynomials

Description

Various tools to manipulate and combine multivariate polynomials

Details

Multidimensional arrays are interpreted in a natural way as multivariate polynomials.

Taking a matrix a as an example, because this has two dimensions it may be viewed as a bivariate polynomial with a[i,j] being the coefficient of x^iy^j. Note the off-by-one issue; see ?Extract.

Multivariate polynomials of arbitrary arity are a straightforward generalization using appropriately dimensioned arrays.

Arithmetic operations “+”,“-”, “*”, “^” operate as though their arguments are multivariate polynomials.

Even quite small multipols are computationally intense; many coefficients have to be calculated and each is the sum of many terms.

The package is almost completely superceded by the spray and mvp packages, which use a sparse array system for efficiency.

Author(s)

Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)

Maintainer: Robin K. S. Hankin <[e-mail]>

Examples

ones(2)*linear(c(1,-1))                             # x^2-y^2
ones(2)*(ones(2,2)-uni(2))                          # x^3+y^3


a <- as.multipol(matrix(1:12,3,4))
a

a[1,1] <- 11

f <- as.function(a*a)

f(c(1,pi))

multipol documentation built on Aug. 21, 2023, 9:10 a.m.