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          <dc:title>Algebraic Methods in Computational Complexity (Dagstuhl Seminar 18391)</dc:title>
          <dc:creator>Bläser, Markus</dc:creator>
          <dc:creator>Kabanets, Valentine</dc:creator>
          <dc:creator>Torán, Jacobo</dc:creator>
          <dc:creator>Umans, Christopher</dc:creator>
          <dc:subject>computational complexity</dc:subject>
          <dc:subject>algebra</dc:subject>
          <dc:subject>(de-) randomization</dc:subject>
          <dc:subject>circuits</dc:subject>
          <dc:subject>coding</dc:subject>
          <dc:subject>lower bounds</dc:subject>
          <dc:description>Computational Complexity is concerned with the resources that are required for algorithms to detect properties of combinatorial objects and structures. &#13;
It has often proven true that the best way to argue about these combinatorial objects is by establishing a connection (perhaps approximate) to a more well-behaved algebraic setting. Indeed, many of the deepest and most powerful results in Computational Complexity rely on algebraic proof techniques. The Razborov-Smolensky polynomial-approximation method for proving constant-depth circuit lower bounds, the PCP characterization of NP, and the Agrawal-Kayal-Saxena polynomial-time primality test are some of the most prominent&#13;
examples. &#13;
&#13;
In some of the most exciting recent progress in Computational Complexity the algebraic theme still plays a central role. There have been significant recent advances in algebraic circuit lower bounds, and the so-called chasm at depth 4&#13;
suggests that the restricted models now being considered are not so far from&#13;
ones that would lead to a general result. There have been similar successes&#13;
concerning the related problems of polynomial identity testing and circuit&#13;
reconstruction in the algebraic model (and these are tied to central&#13;
questions regarding the power of randomness in computation). Also the areas of derandomization and coding theory have experimented important advances.&#13;
&#13;
The seminar aimed to capitalize on recent progress and bring together&#13;
researchers who are using a diverse array of algebraic methods in a variety&#13;
of settings. Researchers in these areas are relying on ever more&#13;
sophisticated and specialized mathematics and the goal of the  seminar was to play an important role in educating a diverse community about the latest new&#13;
techniques.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Markus Bläser and Valentine Kabanets and Jacobo Torán and Christopher Umans</dc:contributor>
          <dc:date>2019</dc:date>
          <dc:relation>Is Part Of Dagstuhl Reports, Volume 8, Issue 9 (2019)</dc:relation>
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          <dc:identifier>doi:10.4230/DagRep.8.9.133</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-103438</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/DagRep.8.9.133</dc:identifier>
          <dc:language>eng</dc:language>
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