How can I normalize these values to sum 1?

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The discussion focuses on normalizing a series of view factors to ensure their sum equals 1. The provided values sum to approximately 0.996221. The recommended method for normalization involves multiplying each value by a constant k, calculated as k = 1 / 0.996221. This approach guarantees that the adjusted values will sum to 1, effectively normalizing the dataset.

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I have calculate a serie of view factors for a given geometry and its sum is aproximately one but not exactly.
My values are:
0,1134 0,1307 0,2446 0,12393 0,115053 0,010084 0,007334 0,1071 0,0145 0,0128 0,0919 0,01675 0,00463 0,00344

The sum now is equal 0,996221
How can I normalize the following values that the sum is equal 1? Which method should I use?
 
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Well, the usual way would be to multiply all your numbers by (the same) constant ##k##, and then computing the sum (now as a function of ##k##) and equaling to 1 you have an equation for ##k##. You solve it and you will have an answer for what value of ##k## normalizes the sum.
 
k=1/.996221
 

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