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\documentclass[10pt]{article} | |
\usepackage{labels} | |
\usepackage{url} | |
\newcommand{\brk}{$\cdot$ } | |
%\LabelGridtrue % Enable this to | |
\LabelCols=2% Number of columns of labels per page | |
\LabelRows=6% Number of rows of labels per page | |
\begin{document} | |
\numberoflabels=12 | |
\genericlabel{ | |
\begin{minipage}[c][1.5in]{3.25in} \raggedleft \small | |
Tuesday \brk 11-12:40 \brk 19 June \brk MS23 \\ | |
\textsf{Modern matrix methods for large scale data and networks}\medskip\\ | |
David F. Gleich \\ | |
Purdue University \\ | |
\url{[email protected]} \bigskip \\ | |
SIAM Applied Linear Algebra \\ | |
2012 \brk Valencia \brk Spain | |
\end{minipage} | |
} | |
\genericlabel{ | |
\begin{minipage}[c][1.5in]{3.43in} | |
\raggedright \footnotesize | |
\leftskip 1em | |
\parindent -1em | |
11:00 \brk Matthias Hein \brk Saarland University \\ | |
Nonlinear Eigenproblems in Data Analysis and Graph Partitioning \smallskip \\ | |
11:25 \brk Xiangrui Meng \brk Stanford University \\ | |
LSRN: A Parallel Iterative Solver for Strongly Over- or Under-Determined Systems \smallskip \\ | |
11:50 \brk Jie Chen \brk Argonne National Labs \\ | |
Solving Large Dense Linear Systems with Covariance Matrices \smallskip \\ | |
12:15 \brk Inderjit S. Dhillon \brk UT Austin \\ | |
Fast Coordinate Descent Methods with Variable Selection for Non-negative Matrix Factorization | |
\end{minipage} | |
} | |
\end{document} |
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