I'm calculating the high-water marks for the following function:(adsbygoogle = window.adsbygoogle || []).push({});

f(n) = #{n is a k-strong pseudoprime, 1 < k < n}

where n is a composite integer.

The naive Pari code:

Note: I'm using the following straightforward code for checking if a number is a strong pseudoprime; here's the code if you want to duplicate my above functions. I'm not looking for improvements to this part, though if you have any I'd love to hear about it.Code (Text):ff(n)=sum(k=2,n-1,isSPRP(n, k))

record=0;forstep(n=3, 1e6, 2, if(isprime(n), next); k = ff(n); if (k > record, record = k; print (k" "n)))

But this is very slow: checking ff for a number around a million takes about 10 seconds, so I'm looking at weeks or months of calculation even to check to a million (and I'd like to check more than that).Code (Text):isSPRP(n,b)={

my(d = n, s = 0);

until(bitand(d,1), d >>= 1; s++);

d = Mod(b, n)^d;

if (d == 1, return(1));

for(i=1,s-1,

if (d == -1, return(1));

d = d^2;

);

d == -1

};

'Everyone' knows that a composite number can't be a strong pseudoprime to more than a quarter of the k, but more is true: ff(n) is at most phi(n)/4. This simple test significantly speeds results, allowing me to skip between 20% and 90% of the numbers in the range (the relatively smooth/abundant ones) -- the further closer together the records are, the more I can skip. Are there any other ideas?

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# Counting pseudoprimes

Can you offer guidance or do you also need help?

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