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keisanHigh-precision calculations for everyday life and work

This calculates the weighted geometric mean.

Author: shiroeExecutions: 25

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Calculate the weighted geometric mean.
The dataset is limited to 10 entries.
When entering data, the sum of the weights does not have to equal 1.
Calculate and display the redistribution of weights so that their total equals 1.
Examples of the weighted geometric mean include the effective exchange rate.
Enter each data point in the dataset as a fraction.
Output the weighted geometric mean as a decimal.
After reallocation, the formula takes the following form:
Weighted geometric mean = (x1/y1)^s1 * (x2/y2)^s2 * … * (x9/y9)^s9 * (x10/y10)^s10
. The numbers to the right of x, y, and s indicate the corresponding data pairs.
w is reallocated to s.
If the dataset contains fewer than 10 data points, please leave the default values of 1 for x and y, and 0 for w.
Since y is the denominator, enter a non-zero value.
Negative values cannot be used for x, y, or w.
Complex numbers (with a non-zero imaginary part) are not supported.
When entering fractions, mixed fractions are not supported.
x1
y1
w1
x2
y2
w2
x3
y3
w3
x4
y4
w4
x5
y5
w5
x6
y6
w6
x7
y7
w7
x8
y8
w8
x9
y9
w9
x10
y10
w10
x1 y1 s1 
x2 y2 s2 
x3 y3 s3 
x4 y4 s4 
x5 y5 s5 
x6 y6 s6 
x7 y7 s7 
x8 y8 s8 
x9 y9 s9 
x10 y10 s10 
Weighted Geometric Mean 
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Input Example:
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Suppose we want to calculate the weighted geometric mean of
(112.2/102)^0.7 * (114/120)^0.3.
The input values are:

x1=112.2 y1=102 w1=0.7
x2=114 y2=120 w2=0.3

.
In the output, w1 and w2 are reassigned as s1 and s2.
(The sum of w values does not have to be 1. The sum of s values is 1.)

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Set to 10 digits. Can be changed.
Floating-point calculations.
R6 (2024).05/12 (Sun)_001

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