chebyshev.t.quadrature.rules: Create list of Chebyshev quadrature rules

In gaussquad: Collection of Functions for Gaussian Quadrature

Create list of Chebyshev quadrature rules

Description

This function returns a list with n elements containing the order k quadrature rule data frame for the Chebyshev T polynomial for orders k = 1,\;2,\; … ,\;n.

Usage

chebyshev.t.quadrature.rules(n,normalized=FALSE)

Arguments

n	integer value for the highest order
normalized	boolean value. if TRUE rules are for orthonormal polynomials, otherwise they are for orthgonal polynomials

Details

An order k quadrature data frame is a named data frame that contains the roots and abscissa values of the corresponding order k orthogonal polynomial. The column with name x contains the roots or zeros and the column with name w contains the weights.

Value

A list with n elements each of which is a data frame

1	Quadrature rule data frame for the order 1 Chebyshev polynomial
2	Quadrature rule data frame for the order 2 Chebyshev polynomial

...

n	Quadrature rule data frame for the order n Chebyshev polynomial

Author(s)

Frederick Novomestky [e-mail]

References

Abramowitz, M. and I. A. Stegun, 1968. Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables, Dover Publications, Inc., New York.

Press, W. H., S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, 1992. Numerical Recipes in C, Cambridge University Press, Cambridge, U.K.

Stroud, A. H., and D. Secrest, 1966. Gaussian Quadrature Formulas, Prentice-Hall, Englewood Cliffs, NJ.

See Also

quadrature.rules, chebyshev.t.quadrature

Examples

###
### generate the list of quadrature rules for
### the orthogonal Chebyshev polynomials
### for orders 1 to 5
###
orthogonal.rules <- chebyshev.t.quadrature.rules( 5 )
print( orthogonal.rules )
###
### generate the list of quadrature rules for
### the orthonormal Chebyshev polynomials
### for orders 1 to 5
###
orthonormal.rules <- chebyshev.t.quadrature.rules( 5, normalized=TRUE )
print( orthonormal.rules )

gaussquad documentation built on June 14, 2022, 9:05 a.m.