Greatly enrich my mind.
Thank you!
David
2013/10/16 Spencer Graves spencer.gra...@structuremonitoring.com
On 10/15/2013 5:37 PM, Marino David wrote:
Hi Spencer:
Thanks for your interpretation again and again. Your statement does
enable me to have a good understanding of Gaussian
Hi Spencer:
Thanks for your interpretation again and again. Your statement does enable
me to have a good understanding of Gaussian quadrature.
This sos package you recommended is greatly powerful. From now on, I will
use the sos package to find something helpful before I do some research.
On 10/15/2013 5:37 PM, Marino David wrote:
Hi Spencer:
Thanks for your interpretation again and again. Your statement does
enable me to have a good understanding of Gaussian quadrature.
This sos package you recommended is greatly powerful. From now on, I
will use the sos package to find
Are you familiar with the sos package? Consider the following:
library(sos)
op - findFn('orthogonal polynomial') # 165 links in 35 pkgs
ops - findFn('orthogonal polynomials')#158 links in 35 pkgs
op. - op |ops# 194 links in 43 pkgs
save(op., file='orthopoly.rda')
summary(op.)
Hi all,
We know that Hermite polynomial is for
Gaussian, Laguerre polynomial for Exponential
distribution, Legendre polynomial for uniform
distribution, Jacobi polynomial for Beta distribution. Does anyone know
which kind of polynomial deals with the log-normal, Students t, Inverse
gamma and
On 10/10/2013 5:02 PM, Marino David wrote:
Hi all,
We know that Hermite polynomial is for
Gaussian, Laguerre polynomial for Exponential
distribution, Legendre polynomial for uniform
distribution, Jacobi polynomial for Beta distribution. Does anyone know
which kind of polynomial deals with
p.s. Orthogonal polynomials can be defined for any probability
distribution on the real line, discrete, continuous, or otherwise, as
described in the Wikipedia article on orthogonal polynomials.
On 10/10/2013 5:02 PM, Marino David wrote:
Hi all,
We know that Hermite polynomial is for
Thanks so much for your response. BTW, do you know any Gauss quadrature R
package can deal with the arbitary PDF?
Thank you!
David
2013/10/11 Spencer Graves spencer.gra...@structuremonitoring.com
p.s. Orthogonal polynomials can be defined for any probability
distribution on the real line,
8 matches
Mail list logo
