Adaptive Gauss-Kronrod Quadrature
Adaptive Gauss-Kronrod Quadrature.
quadgk(f, a, b, tol = .Machine$double.eps^0.5, ...)
f |
integrand as function; needs to be vectorized, but 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. |
Adaptive version of the (7, 15)-point Gauss-Kronrod quadrature formula, where in each recursion the error is taken as the difference between these two estimated integrals.
The function f must be vectorized, though this will not be checked
and may lead to strange errors. If it is not, use F = Vectorize(f).
Value of the integration. The relative error should be of the same order of magnitude as the relative tolerance (or much smaller).
Uses the same nodes and weights as the quadQK15 procedure in the
QUADPACK library.
gauss_kronrod
## Dilogarithm function flog <- function(t) log(1-t)/t quadgk(flog, 1, 0, tol = 1e-12) # 1.644934066848128 - pi^2/6 < 1e-13
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