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arxiv: 1610.01893 · v3 · pith:75DA2NCXnew · submitted 2016-10-06 · 🧮 math.CA

Precise error estimate of the Brent-McMillan algorithm for the computation of Euler's constant

classification 🧮 math.CA
keywords erroralgorithmcomputationestimateprecisetermbrent-mcmillanconstant
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Brent and McMillan introduced in 1980 a new algorithm for the computation of Euler's constant $\gamma$, based on the use of the Bessel functions I\_0(x) and K\_0(x). It is the fastest known algorithm for the computation of $\gamma$. The time complexity can still be improved by evaluating a certain divergent asymptotic expansion up to its minimal term. Brent-McMillan conjectured in 1980 that the error is of the same magnitude as the last computed term, and Brent-Johansson partially proved it in 2015. They also gave some numerical evidence for a more precise estimate of the error term. We find here an explicit expression of that optimal estimate, along with a complete self-contained formal proof and an even more precise error bound.

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