Talk:Klarner-Rado sequence: Difference between revisions

 

:My suspicion (though I haven't confirmed it) is that you are accumulating the x2 and x3 terms off of the same indexer so, when you reach 1e6th, you have excess x3 elements and a shortage of x2. The reason the earlier figures match is you have accumulated enough terms past it to have filled in any "gaps". I have also failed to find a 3rd party trusted source, but we now have at least 6 different implementations by at least 4 different authors that all agree on 54,381,285. Still not authoritative but circumstantial evidence is getting pretty convincing. --[[User:Thundergnat|Thundergnat]] ([[User talk:Thundergnat|talk]]) 15:02, 19 August 2022 (UTC)

BTW, I just used a "bit-vector" as suggested by the Julia sample and it would seem that you need around 1.1 billion bits (137 500 000 bytes) to find the 10 millionth element, which I think is 1,031,926,801.

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