Recently, the answer to a question related to the Ackerman function, part of which included the function of calculating the number tetation. It made me wonder if there is a more efficient way to do this. I did some tests myself, but I limited myself mainly to the fact that even a number like 5 ^^ 3 = 5 ^ 3125 at 5 ^ 3 is about 10 ^ 2, which means 5 ^ 3125 ~ = 10 ^ (3125 * 2 / 3) about 2,000 digits.
The function makes it impossible to divide and capture methods due to the nature of how exponentiation is performed, i.e.
2 ^^ 5 = 2 ^ (2 ^ (2 ^ (2 ^ 2)))) = 2 ^ (2 ^ (2 ^ 4)) = 2 ^ (2 ^ 16) = 2 ^ 65536 ~ = 10 ^ ( 65536 * 3/10), so about 20 thousand digits ...
The nature of the problem, since it starts at the top of the tree of power and works in a way that strikes me as a factorial. You can use the fast power algorithm to perform the exponential operation, but I could not see a way to reduce the number of exponentiation operations.
In case someone is unclear what I'm saying here, the wiki article is essentially a tetition:
a ^^ b = a ^ a ^ a .... ^ a, b times, and then the erection to the top element of the power tree begins and runs down.
The algorithm I use will be (although I use the ruby ββversion if I really want the value):
long int Tetration(int number, int tetrate)
{
long int product=1;
if(tetrate==0)
return product;
product=number;
while(tetrate>1)
{
product=FastPower(number,product);
tetrate--;
}
return product;
}
Any thoughts would be appreciated.
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