## Gauss constant
1 / agm(1, sqrt(2)) # 0.834626841674073
## Calculate the (elliptic) integral 2/pi \int_0^1 dt / sqrt(1 - t^4)
f <- function(t) 1 / sqrt(1-t^4)
2 / pi * integrate(f, 0, 1)$value
1 / agm(1, sqrt(2))
## Calculate pi with quadratic convergence (modified AGM)
# See algorithm 2.1 in Borwein and Borwein
y <- sqrt(sqrt(2))
x <- (y+1/y)/2
p <- 2+sqrt(2)
for (i in 1:6){
cat(format(p, digits=16), "\n")
p <- p * (1+x) / (1+y)
s <- sqrt(x)
y <- (y*s + 1/s) / (1+y)
x <- (s+1/s)/2
}
if (FALSE) {
## Calculate pi with arbitrary precision using the Rmpfr package
require("Rmpfr")
vpa <- function(., d = 32) mpfr(., precBits = 4*d)
# Function to compute \pi to d decimal digits accuracy, based on the
# algebraic-geometric mean, correct digits are doubled in each step.
agm_pi <- function(d) {
a <- vpa(1, d)
b <- 1/sqrt(vpa(2, d))
s <- 1/vpa(4, d)
p <- 1
n <- ceiling(log2(d));
for (k in 1:n) {
c <- (a+b)/2
b <- sqrt(a*b)
s <- s - p * (c-a)^2
p <- 2 * p
a <- c
}
return(a^2/s)
}
d <- 64
pia <- agm_pi(d)
print(pia, digits = d)
# 3.141592653589793238462643383279502884197169399375105820974944592
# 3.1415926535897932384626433832795028841971693993751058209749445923 exact
}
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