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      <div class="TdmEntry">Overall Objectives<ul><li><a href="./uid3.html">Scientific foundations</a></li></ul></div>
      <div class="TdmEntry">Research Program<ul><li class="tdmActPage"><a href="uid5.html&#10;&#9;&#9;  ">Algorithmic Number Theory</a></li><li><a href="uid9.html&#10;&#9;&#9;  ">Arithmetic Geometry: Curves and
their Jacobians</a></li><li><a href="uid10.html&#10;&#9;&#9;  ">Curve-Based cryptology</a></li><li><a href="uid11.html&#10;&#9;&#9;  ">Algebraic Coding Theory</a></li></ul></div>
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Giuletti Korchmaros curve</a></li><li><a href="uid39.html&#10;&#9;&#9;  ">Towards a function field version of Freiman's theorem</a></li><li><a href="uid42.html&#10;&#9;&#9;  ">BIG QUAKE</a></li><li><a href="uid43.html&#10;&#9;&#9;  ">Discrete Logarithm computations in
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	    Raweb 
	    2017</a> | <a href="http://www.inria.fr/en/teams/grace">Presentation of the Project-Team GRACE</a> | <a href="https://team.inria.fr/grace/">GRACE Web Site
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        <h2>Section: 
      Research Program</h2>
        <h3 class="titre3">Algorithmic Number Theory</h3>
        <p>Algorithmic Number Theory is concerned with replacing special cases
with general algorithms to solve problems in number theory.
In the Grace project, it appears in three main threads:</p>
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            <p class="notaparagraph"><a name="uid6"> </a>fundamental algorithms for integers and polynomials
(including primality and factorization);</p>
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            <p class="notaparagraph"><a name="uid7"> </a>algorithms for finite fields (including discrete logarithms);
and</p>
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            <p class="notaparagraph"><a name="uid8"> </a>algorithms for algebraic curves.</p>
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        <p>Clearly, we use computer algebra in many ways. Research in cryptology
has motivated a renewed interest in Algorithmic Number Theory in
recent decades—but the fundamental problems still exist <i>per
se</i>. Indeed, while algorithmic number theory application in
cryptanalysis is epitomized by applying factorization to breaking RSA
public key, many other problems, are relevant to various area of
computer science. Roughly speaking, the problems of the cryptological
world are of bounded size, whereas Algorithmic Number Theory is also
concerned with asymptotic results.</p>
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