HTML Export for Dagstuhl Reports, Volume 2, Issue 1

Copy to Clipboard Download

<h2>Dagstuhl Reports, Volume 2, Issue 1, </h2>
<ul>
<li>
    <span class="title">Dagstuhl Reports, Volume 2, Issue 1, January 2012, Complete Issue</span>
    <a class="doi" href="https://doi.org/10.4230/DagRep.2.1">10.4230/DagRep.2.1</a>
</li>
<li>
    <span class="title">Dagstuhl Reports, Table of Contents, Volume 2, Issue 1, 2012</span>
    <a class="doi" href="https://doi.org/10.4230/DagRep.2.1.i">10.4230/DagRep.2.1.i</a>
</li>
<li>
    <span class="authors">Robert Hirschfeld, Shriram Krishnamurthi, and Jan Vitek</span>
    <span class="title">Foundations for Scripting Languages (Dagstuhl Seminar 12011)</span>
    <a class="doi" href="https://doi.org/10.4230/DagRep.2.1.1">10.4230/DagRep.2.1.1</a>
</li>
<li>
    <span class="authors">Veronica Becher, Laurent Bienvenu, Rodney Downey, and Elvira Mayordomo</span>
    <span class="title">Computability, Complexity and Randomness (Dagstuhl Seminar 12021)</span>
    <a class="doi" href="https://doi.org/10.4230/DagRep.2.1.19">10.4230/DagRep.2.1.19</a>
</li>
<li>
    <span class="authors">Frederik Armknecht, Stefan Lucks, Bart Preneel, and Phillip Rogaway</span>
    <span class="title">Symmetric Cryptography (Dagstuhl Seminar 12031)</span>
    <a class="doi" href="https://doi.org/10.4230/DagRep.2.1.39">10.4230/DagRep.2.1.39</a>
</li>
<li>
    <span class="authors">Salvatore Greco, Joshua D. Knowles, Kaisa Miettinen, and Eckart Zitzler</span>
    <span class="title">Learning in Multiobjective Optimization (Dagstuhl Seminar 12041)</span>
    <a class="doi" href="https://doi.org/10.4230/DagRep.2.1.50">10.4230/DagRep.2.1.50</a>
</li>
<li>
    <span class="authors">Andy M. King, Alan Mycroft, Thomas W. Reps, and Axel Simon</span>
    <span class="title">Analysis of Executables: Benefits and Challenges (Dagstuhl Seminar 12051)</span>
    <a class="doi" href="https://doi.org/10.4230/DagRep.2.1.100">10.4230/DagRep.2.1.100</a>
</li>
</ul>

The metadata provided by Dagstuhl Publishing on its webpages, as well as their export formats (such as XML or BibTeX) available at our website, is released under the CC0 1.0 Public Domain Dedication license. That is, you are free to copy, distribute, use, modify, transform, build upon, and produce derived works from our data, even for commercial purposes, all without asking permission. Of course, we are always happy if you provide a link to us as the source of the data.

Read the full CC0 1.0 legal code for the exact terms that apply: https://creativecommons.org/publicdomain/zero/1.0/legalcode