Almkvist Berndt 1988 begins with an investigation of why the agm is such an efficient algorithm, and proves that it converges quadratically. This is an efficient method to calculate 



π


{\displaystyle \pi }

.

With the same notations used in Arithmetic-geometric mean, we can summarize the paper by writing:





π
=



4


a
g
m

(
1
,
1

/



2



)

2




1
−

∑

n
=
1


∞



2

n
+
1


(

a

n


2


−

g

n


2


)





{\displaystyle \pi ={\frac {4\;\mathrm {agm} (1,1/{\sqrt {2}})^{2}}{1-\sum \limits _{n=1}^{\infty }2^{n+1}(a_{n}^{2}-g_{n}^{2})}}}



This allows you to make the approximation, for any large   N:





π
≈



4


a

N


2




1
−

∑

k
=
1


N



2

k
+
1


(

a

k


2


−

g

k


2


)





{\displaystyle \pi \approx {\frac {4\;a_{N}^{2}}{1-\sum \limits _{k=1}^{N}2^{k+1}(a_{k}^{2}-g_{k}^{2})}}}



The purpose of this task is to demonstrate how to use this approximation in order to compute a large number of decimals of 



π


{\displaystyle \pi }

.

# Calculate Pi using the Arithmetic Geometric Mean of 1 and 1/sqrt(2)
#
#
#  Nigel_Galloway
#  March 8th., 2012.
#
require 'flt'
Flt::BinNum.Context.precision = 8192
a = n = 1
g = 1 / Flt::BinNum(2).sqrt
z = 0.25
(0..17).each{
  x = [(a + g) * 0.5, (a * g).sqrt]
  var = x[0] - a
  z -= var * var * n
  n += n
  a = x[0]
  g = x[1]
}
puts a * a / z