In this question on Math.SE there appears this sum: $$ S = \sum_{n\geq1}s_n, \qquad s_n = \frac{|\sin n|^n}{n}, $$ which converges very slowly. What methods would you suggest for evaluating it numerically?
What I managed to do is unsatisfactory. Pick a bound $M$, and approximate the remainder of the sum over $n\geq M$ using $$ \frac{|\sin n|^n}{n} \approx \frac1\pi\int_0^\pi \frac{|\sin t|^n}{n}\,dt = T_n, $$ then write $$S_M = \sum_{1\leq n<M}s_n + \sum_{n\geq M}T_n. $$ The infinite sum over $T_n$ has a closed form in terms of generalized hypergeometric functions.
I tried Shanks and Cohen-Villegas-Zagier convergence acceleration techniques (in mpmath) applied to $S_{10^6k}$ and $S_{10^7k}$, $1\leq k\leq10$, but they didn't work well, giving values about $10^{-3}$ away from each other ($2.151$). When I tried to fit $$ S_M = S_\infty + b M^\alpha, $$ for $M=\{1,2,3\}\times 10^7$, I got $\alpha=-\frac12$ and $$ S_\infty = 2.1509. $$
This is only five digits with $10^7$ terms. Is there a better method?
EDIT The values for $S_{10^6\{1\ldots10\}}$ are:
Z6 = [2.1503320981264467, 2.1504796881940735, 2.150563926321965,
2.150601535111673, 2.1506361337302553, 2.1506605927579456,
2.15067535745342, 2.150691134235195, 2.1507008825140925,
2.1507120293097395]
The values for $S_{10^7\{1\ldots10\}}$ are:
Z7 = [2.1507120293097395, 2.1507656995403974, 2.1507894767527613,
2.1508036508488018, 2.1508133237402696, 2.150820463977797,
2.1508260133696635, 2.1508304866069095, 2.150834191855564,
2.1508373250787898]
The values for $S_{1+10^8\{1\ldots10\}}$ are:
Z8 = [2.1508373250785855, 2.1508542694443973, 2.1508618019128343,
2.150866279387301, 2.150869344143939, 2.1508715999897547,
2.150873358367117, 2.1508747716998142, 2.1508759457833806,
2.1508769361805817]
The main reason I say that convergence acceleration seems to fail is that it gives somewhat different results (error $\sim 10^{-3}$) for $Z_6$ and $Z_7$. The simple model above gives the same result (to five digits), but introducing the next asymptotic term and trying to fit $S_\infty+b_1 M^{-1/2}+b_2 M^{-3/2}$ makes the two series agree slightly less, not more.
EDIT When fitting $S_\infty+b M^{-1/2}$ with least squares one thing to note is that the estimate for $Z_7$ lies two estimated standard errors from the estimate for $Z_6$, so I'm not sure how accurate it is. The better value, estimated from $Z_7$ seems to be $2.150895272(1)$, but this might be inaccurate.
EDIT The sum $\sum_{n\geq m}T_n$ behaves as $m^{-1/2}$ as $m\to\infty$, and is given by $$ \frac{\Gamma(m)}{\pi 2^m}\left(\frac{2}{\Gamma(1+\frac m2)^2}F\left( \begin{array}{c} 1,\frac{1+m}{2},\frac m2\\1+\frac m2,1+\frac m2 \end{array}\right) + \frac{m}{\Gamma(\frac{3+m}{2})^2}F\left(\begin{array}{c} 1,\frac{1+m}{2},1+\frac m2\\ \frac{3+m}{2},\frac{3+m}{2}\end{array} \right) \right). $$