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be407a0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 | \documentclass[varwidth=598pt]{standalone}
\usepackage{booktabs} % professional-quality tables
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\usepackage{microtype} % better text appearance
\usepackage{hyperref} % hyperlinks
\usepackage{textcomp} % for extra symbols
\usepackage{enumitem} % for compact lists (if used in table notes)
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\usepackage{pifont} % http://ctan.org/pkg/pifont
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\begin{document}
\begin{table}
\centering
\begin{adjustbox}{max width=\textwidth}
\begin{tabular}{ccccccc}
\toprule
Network&DGeoLIP & NGeoLIP & LiPopt & MP & Sample & BruF \\
\midrule
2-layer/16 units &185.18& 185.18& 259.44 & 578.54 & 175.24 & 175.24\\
2-layer/256 units & 425.04&425.04& 1011.65& 2697.38 & 306.98 & N/A\\
8-layer/64 units per layer &8327.2 &-----& N/A& $8.237*10^7$ & 1130.6 & N/A\\
\bottomrule
\end{tabular}
\end{adjustbox}
\caption{Table 1: $\ell_\infty$-FGL estimation of various methods: DGeoLIP and NGeoLIP induce the same values on two layer networks. DGeoLIP always produces tighter estimations than LiPopt and MP do.}
\end{table}
\end{document} |