I've been able to go through the paper and I have potentially succeeded in calculating the coefficients by means of Gaussian elimination. But I want to make sure, I got it right!
So can you please check for me x=0.2 and n=6,7,8?
Thanks a lot!Vick
On Saturday, February 22, 2020, 06:11:33 PM GMT+4, Nick Thompson
Does this mean that we can generate different Stieltjes polynomials with different orthogonal polynomials and/or functions?
Yes, you can expand every polynomial in every other complete polynomial basis. The basis you select should make the conversion from the original basis well-conditioned.
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On Saturday, February 22, 2020 6:26 AM, N A via Boost-users
Hi
The Legendre polynomials (Lp) of degree n=5 and x=0.2 is 0.30752 and according to Boost article, the Legendre-Stieltjes polynomials (LSp) of degree n=5 and x=0.2 is 0.53239.
So if I want to compute the LSp for n=6, how do I do it? What is the formula you are using to be able to calculate the LSp for any nth degree?
If a recurrence relation is not possible, then is there a closed form mathematical representation to calculate any nth degree LSp?
Please see Patterson, TNL. "The optimum addition of points to quadrature formulae." Mathematics of Computation 22.104 (1968): 847-856 John.
Thanks
On Friday, February 21, 2020, 06:54:27 PM GMT+4, Nick Thompson via Boost-users
wrote: What precisely are you trying to compute? Are you trying to find the coefficients of the polynomials in the standard basis? Are you trying to evaluate them at a point?
Note that the Legendre-Stieltjes polynomials do not satisfy three-term recurrence relations, and so recursive rules (depending on what precisely you mean by that) are not available.
Nick
‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐ On Wednesday, February 19, 2020 12:07 PM, N A via Boost-users
wrote: Hi,
With regard to the article on Boost: Legendre-Stieltjes Polynomials - 1.66.0 https://www.boost.org/doc/libs/1_66_0/libs/math/doc/html/math_toolkit/sf_pol...
Legendre-Stieltjes Polynomials - 1.66.0
Can anyone help me to compute the stieltjes polynomials please? I'm coding in VBA and I'm looking for some recursive rules to calculate same.
Thanks Vick
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