How to resolve the algorithm Arithmetic-geometric mean step by step in the Python programming language
How to resolve the algorithm Arithmetic-geometric mean step by step in the Python programming language
Table of Contents
Problem Statement
Write a function to compute the arithmetic-geometric mean of two numbers.
The arithmetic-geometric mean of two numbers can be (usefully) denoted as
a g m
( a , g )
{\displaystyle \mathrm {agm} (a,g)}
, and is equal to the limit of the sequence: Since the limit of
a
n
−
g
n
{\displaystyle a_{n}-g_{n}}
tends (rapidly) to zero with iterations, this is an efficient method. Demonstrate the function by calculating:
Let's start with the solution:
Step by Step solution about How to resolve the algorithm Arithmetic-geometric mean step by step in the Python programming language
Both code snippets calculate the arithmetic-geometric mean (AGM) of two numbers. The AGM is the limit of the sequence of arithmetic means and geometric means of two numbers. It is used in various applications, including number theory and probability.
The first snippet uses the math
module to calculate the square root. It starts with the initial values a0
and g0
and iteratively updates an
and gn
until the difference between an
and gn
is smaller than the given tolerance. The final value of an
is returned as the AGM.
The second snippet uses the decimal
module to perform the calculations with higher precision. It also uses a different iteration strategy, where a
and g
are updated simultaneously. The iteration continues until the difference between a
and g
is smaller than the given tolerance. The final value of a
is returned as the AGM.
Both snippets demonstrate how to calculate the AGM of two numbers using different approaches and precision levels. The choice of approach and precision depends on the specific application requirements.
Source code in the python programming language
from math import sqrt
def agm(a0, g0, tolerance=1e-10):
"""
Calculating the arithmetic-geometric mean of two numbers a0, g0.
tolerance the tolerance for the converged
value of the arithmetic-geometric mean
(default value = 1e-10)
"""
an, gn = (a0 + g0) / 2.0, sqrt(a0 * g0)
while abs(an - gn) > tolerance:
an, gn = (an + gn) / 2.0, sqrt(an * gn)
return an
print agm(1, 1 / sqrt(2))
from decimal import Decimal, getcontext
def agm(a, g, tolerance=Decimal("1e-65")):
while True:
a, g = (a + g) / 2, (a * g).sqrt()
if abs(a - g) < tolerance:
return a
getcontext().prec = 70
print agm(Decimal(1), 1 / Decimal(2).sqrt())
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