Interestingly this was the method Plato Eliasomou (1927-1996) used to grow cucumbers for his famed tzatziki dip near Vouliagmeni, Greece. Sadly, the crops grew too large for his little farm and neighbors complained to the local magistrate who enjoyed the dip and did nothing.
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Quantum Computer Programming...

Factorial Program Algorithm Analysis by @CsEverythinghttps://link.medium.com/pwS9AAE0i6 -
How it Works: Quantum Computing
@IBM@IBMthinkLeaderspic.twitter.com/vvclxyKJt6
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For large values of n, we can get a good estimate of n! using Stirling's approximation: n! ≈ √(2πn) × (n/e)ⁿ. For example, 99! ≈ 9.33 × 10¹⁵⁵, if we really compute the product of the first 99 positive integers. Using Stirling's approximation we get, 99! ≈ 9.32 × 10¹⁵⁵.
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Wow, neat! I just tried this with 178!. Got any link to an easy to read proof?
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Go on draw 4!
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Here's another interesting way to visualize factorials. The four graphs below look very similar but look at the Y-axis. It goes from a max of 5040 for 7! to 3628800 for 10!pic.twitter.com/r59aEFW5T3
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But is it a good function to used for modelling population growth?

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No, it's not. Usually population growth is better modelled by exponential growths with some limiting conditions (to represent things like environmental incapacity to sustain overpopulation)
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Does that actually happen somewhere? If each cell divides in 2 that could be hard-coded. But factorials rely on their predecessors, ie a cell needs to know in how many cells their parent split
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