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<div class=Section1>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'><o:p>&nbsp;</o:p></span></font></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'>Guest Speaker<o:p></o:p></span></font></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'><o:p>&nbsp;</o:p></span></font></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'>Presented by: <st1:City w:st="on">Toyota</st1:City>
Technological Institute at <st1:City w:st="on"><st1:place w:st="on">Chicago</st1:place></st1:City><o:p></o:p></span></font></p>

<p class=MsoNormal><b style='mso-bidi-font-weight:normal'><font size=2
face=Arial><span style='font-size:10.0pt;font-family:Arial;font-weight:bold;
mso-bidi-font-weight:normal'><o:p>&nbsp;</o:p></span></font></b></p>

<p class=MsoNormal><b style='mso-bidi-font-weight:normal'><font size=2
face=Arial><span style='font-size:10.0pt;font-family:Arial;font-weight:bold;
mso-bidi-font-weight:normal'>Speaker: Hubert Chan<o:p></o:p></span></font></b></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'>Speaker&#8217;s home page: <a
href="http://www.cs.uwaterloo.ca/~hy3chan">http://www.cs.uwaterloo.ca/~hy3chan</a>
<o:p></o:p></span></font></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'><o:p>&nbsp;</o:p></span></font></p>

<p class=MsoNormal><b style='mso-bidi-font-weight:normal'><font size=2
face=Arial><span style='font-size:10.0pt;font-family:Arial;font-weight:bold;
mso-bidi-font-weight:normal'>Date: Tuesday, May 08, 2007<o:p></o:p></span></font></b></p>

<p class=MsoNormal><b style='mso-bidi-font-weight:normal'><font size=2
face=Arial><span style='font-size:10.0pt;font-family:Arial;font-weight:bold;
mso-bidi-font-weight:normal'>Time: 12:00 <o:p></o:p></span></font></b></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'>Location: TTI-C Conference room<o:p></o:p></span></font></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'><o:p>&nbsp;</o:p></span></font></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'><o:p>&nbsp;</o:p></span></font></p>

<p class=MsoNormal><b style='mso-bidi-font-weight:normal'><font size=2
face=Arial><span style='font-size:10.0pt;font-family:Arial;font-weight:bold;
mso-bidi-font-weight:normal'>Title:</span></font></b><font size=2 face=Arial><span
style='font-size:10.0pt;font-family:Arial'> Notions of Metric Dimension<o:p></o:p></span></font></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'><o:p>&nbsp;</o:p></span></font></p>

<p class=MsoNormal><b style='mso-bidi-font-weight:normal'><font size=2
face=Arial><span style='font-size:10.0pt;font-family:Arial;font-weight:bold;
mso-bidi-font-weight:normal'>Abstract:<o:p></o:p></span></font></b></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'><o:p>&nbsp;</o:p></span></font></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'>The study of finite metrics is an important area of
research, because of its wide applications to many different problems.<span
style='mso-spacerun:yes'>&nbsp; </span>Hence, it is desirable to know what
metrics admit better algorithms.<span style='mso-spacerun:yes'>&nbsp;
</span>Many NP-hard problems become more tractable for low-dimensional
Euclidean metrics.<o:p></o:p></span></font></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'>However, the notion of Euclidean dimension <span
class=GramE>cannot be applied</span> to general metrics.<span
style='mso-spacerun:yes'>&nbsp; </span>Clearly, a better notion of dimension <span
class=GramE>should be used</span> to characterize the complexity of a general
metric space.<o:p></o:p></span></font></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'><o:p>&nbsp;</o:p></span></font></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'>One such notion is the doubling dimension, which is popular
among the theory community.<span style='mso-spacerun:yes'>&nbsp; </span>Many
efficient algorithms for problems on low-dimensional Euclidean space have
counterparts for metrics with low<o:p></o:p></span></font></p>

<p class=MsoNormal><span class=GramE><font size=2 face=Arial><span
style='font-size:10.0pt;font-family:Arial'>doubling dimension.</span></font></span><font
size=2 face=Arial><span style='font-size:10.0pt;font-family:Arial'><span
style='mso-spacerun:yes'>&nbsp; </span>Sparse spanners <span class=GramE>are
well studied</span> for Euclidean<o:p></o:p></span></font></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'>metrics and we extend the framework to doubling
metrics.<span style='mso-spacerun:yes'>&nbsp; </span>For instance, we construct
linear sized (1 + \eps)-spanners for doubling metrics.<o:p></o:p></span></font></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'><o:p>&nbsp;</o:p></span></font></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'>Observe that doubling dimension imposes a restriction on the
local growth rate everywhere in a metric.<span style='mso-spacerun:yes'>&nbsp;
</span>Therefore, an otherwise simple metric with a small locally complex
region would have high doubling dimension.<span style='mso-spacerun:yes'>&nbsp;
</span>We investigate a new notion of metric dimension that captures the global
behavior of a metric.<span style='mso-spacerun:yes'>&nbsp; </span>For metrics
with low global dimension, one would expect better guarantees for problems whose
objectives depend globally on the input metrics.<span
style='mso-spacerun:yes'>&nbsp; </span>Indeed, for the Traveling Salesman
Problem on such metrics, we give a sub-exponential time algorithm with
approximation ratio arbitrarily close to <span class=GramE>1</span>.<o:p></o:p></span></font></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'><o:p>&nbsp;</o:p></span></font></p>

<p class=MsoNormal><span class=GramE><font size=2 face=Arial><span
style='font-size:10.0pt;font-family:Arial'>If you have any questions or would
like to meet the speaker,</span></font></span><font size=2 face=Arial><span
style='font-size:10.0pt;font-family:Arial'> please contact Ponda Barnes at <a
href="mailto:pondabarnes@tti-c.org">pondabarnes@tti-c.org</a><o:p></o:p></span></font></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'>For future TTI-C talks and events please go to <a
href="http://ttic.uchicago.edu/cal/month.php">http://ttic.uchicago.edu/cal/month.php</a><o:p></o:p></span></font></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'><o:p>&nbsp;</o:p></span></font></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'><o:p>&nbsp;</o:p></span></font></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'><o:p>&nbsp;</o:p></span></font></p>

<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'><o:p>&nbsp;</o:p></span></font></p>

<p class=MsoNormal><font size=3 face="Times New Roman"><span style='font-size:
12.0pt'><o:p>&nbsp;</o:p></span></font></p>

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