# quadgr: Gaussian Quadrature with Richardson Extrapolation In pracma: Practical Numerical Math Functions

## Description

Gaussian 12-point quadrature with Richardson extrapolation.

## Usage

 `1` ```quadgr(f, a, b, tol = .Machine\$double.eps^(1/2), ...) ```

## Arguments

 `f` integrand as function, may have singularities at the endpoints. `a, b` endpoints of the integration interval. `tol` relative tolerence. `...` Additional parameters to be passed to the function `f`.

## Details

`quadgr` uses a 12-point Gauss-Legendre quadrature. The error estimate is based on successive interval bisection. Richardson extrapolation accelerates the convergence for some integrals, especially integrals with endpoint singularities.

Through some preprocessing infinite intervals can also be handled.

## Value

List with `value` and `rel.err`.

## Author(s)

Copyright (c) 2009 Jonas Lundgren for the Matlab function `quadgr` available on MatlabCentral under the BSD license.

R re-implementation by HwB, email: <hwborchers@googlemail.com>, in 2011.

`gaussLegendre`

## Examples

 ```1 2 3 4 5 6 7``` ```## Dilogarithm function flog <- function(t) log(1-t)/t quadgr(flog, 1, 0, tol = 1e-12) # value # 1.6449340668482 , is pi^2/6 = 1.64493406684823 # rel.err # 2.07167616395054e-13 ```

### Example output

```\$value
[1] 1.644934

\$rel.err
[1] 2.071676e-13
```

pracma documentation built on Dec. 11, 2021, 9:57 a.m.