Gauss–Kronrod quadrature formula: Difference between revisions

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[[File:Gauss-Hermite quadrature weights.svg|thumb||Weights versus ''x<sub>i</sub>'' for four choices of ''n'']]
In [[numerical analysis]], '''Gauss–Hermite quadrature''' is a form of [[Gaussian quadrature]] for approximating the value of integrals of the following kind:
 
:<math>\int_{-\infty}^{+\infty} e^{-x^2} f(x)\,dx.</math>
 
In this case
 
:<math>\int_{-\infty}^{+\infty} e^{-x^2} f(x)\,dx \approx \sum_{i=1}^n w_i f(x_i)</math>
 
where ''n'' is the number of sample points used. The ''x''<sub>''i''</sub> are the roots of the (physicists' version of the) [[Hermite polynomial]] ''H''<sub>''n''</sub>(''x'') (''i'' = 1,2,...,''n''), and the associated weights ''w''<sub>''i''</sub> are given by
<ref name="AS">[[Abramowitz and Stegun|Abramowitz, M & Stegun, I A, ''Handbook of Mathematical Functions'']], 10th printing with corrections (1972), Dover, ISBN 978-0-486-61272-0. Equation 25.4.46.</ref>  
 
:<math>w_i = \frac {2^{n-1} n! \sqrt{\pi}} {n^2[H_{n-1}(x_i)]^2}.</math>
 
 
==Example with change of variable==
Let's take a function ''h'' which variable ''y'' is Normally distributed <math>\mathcal{N}(\mu,\sigma^2)</math>. The [[Expected value|expectation]] of ''h'' corresponds to the following integral:
 
<math>E[h(y)] = \int_{-\infty}^{+\infty} \frac{1}{\sigma \sqrt{2\pi}} \exp \left( -\frac{(y-\mu)^2}{2\sigma^2} \right) h(y) dy</math>
 
As this doesn't exactly correspond to the Hermite polynomial, we need a change of variable:
 
<math>x = \frac{y-\mu}{\sqrt{2} \sigma} \Leftrightarrow y = \sqrt{2} \sigma x + \mu</math>
 
Coupled with the [[integration by substitution]], we obtain:
 
<math>E[h(y)] = \int_{-\infty}^{+\infty} \frac{1}{\sqrt{\pi}} \exp(-x^2) h(\sqrt{2} \sigma x + \mu) dx</math>
 
leading to:
 
<math>E[h(y)] \approx \frac{1}{\sqrt{\pi}} \sum_{i=1}^n w_i h(\sqrt{2} \sigma x_i + \mu)</math>
 
==References==
<references/>
* {{dlmf| id = 3.5#P6 § 3.5 | title=Quadrature: Gauss–Hermite Formula}}
* {{cite journal|first1=T. S. | last1=Shao | first2=T. C. | last2=Chen | first3= R. M. | last3=Frank
|title=Tables of zeros and Gaussian weights of certain associated Laguerre polynomials and the related generalized Hermite polynomials
|year=1964
|journal=Math. Comp. | mr=0166397 | volume=18 | number=88 | pages=598–616 |doi=10.1090/S0025-5718-1964-0166397-1}}
* {{cite journal|first1=N. M. | last1=Steen | first2=G. D. | last2=Byrne
|first3=E. M. | last3=Gelbard | title = Gaussian quadratures for the integrals int_0^infty exp(-x^2) f(x) dx
|journal = Math. Comp. | year=1969
|volume=23 | number=107 | pages=661–671 | mr=0247744 | doi=10.1090/S0025-5718-1969-0247744-3 }}
* {{cite journal|first1= B. | last1=Shizgal | title = A Gaussian quadrature procedure for use in the solution of the Boltzmann equation and related problems
|journal=J. Comp. Phys. | volume=41 | pages=309–328 | year=1981
|doi=10.1016/0021-9991(81)90099-1 }}
* {{cite web
|url=http://vixra.org/abs/1303.0013 | first1= Richard J. | last1=Mathar
|title = Gauss-Laguerre and Gauss-Hermite Quadrature on 64, 96 and 128 Nodes
|year=2013 }}
 
==External links==
* For tables of Gauss-Hermite abscissae and weights up to order ''n'' = 32 see http://www.efunda.com/math/num_integration/findgausshermite.cfm.
* [http://people.sc.fsu.edu/~jburkardt/cpp_src/gen_hermite_rule/gen_hermite_rule.html Generalized Gauss–Hermite quadrature], [[free software]] in C++, Fortran, and Matlab
 
{{DEFAULTSORT:Gauss-Hermite quadrature}}
[[Category:Numerical integration (quadrature)]]

Revision as of 07:44, 17 May 2013

Weights versus xi for four choices of n

In numerical analysis, Gauss–Hermite quadrature is a form of Gaussian quadrature for approximating the value of integrals of the following kind:

In this case

where n is the number of sample points used. The xi are the roots of the (physicists' version of the) Hermite polynomial Hn(x) (i = 1,2,...,n), and the associated weights wi are given by [1]


Example with change of variable

Let's take a function h which variable y is Normally distributed . The expectation of h corresponds to the following integral:

As this doesn't exactly correspond to the Hermite polynomial, we need a change of variable:

Coupled with the integration by substitution, we obtain:

leading to:

References

  1. Abramowitz, M & Stegun, I A, Handbook of Mathematical Functions, 10th printing with corrections (1972), Dover, ISBN 978-0-486-61272-0. Equation 25.4.46.
  • Template:Dlmf
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    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

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