<?xml version="1.0" encoding="UTF-8"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
  <responseDate>2026-07-22T11:54:28Z</responseDate>
  <request identifier="1738" metadataPrefix="oai_dc" verb="GetRecord">https://drops.dagstuhl.de/oai</request>
  <GetRecord>
    <record>
      <header>
        <identifier>oai:drops-oai.dagstuhl.de:1738</identifier>
        <datestamp>2024-03-06T10:33:07Z</datestamp>
        <setSpec>ddc:004</setSpec>
        <setSpec>open_access</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Some Sieving Algorithms for Lattice Problems</dc:title>
          <dc:creator>Arvind, V.</dc:creator>
          <dc:creator>Joglekar, Pushkar S.</dc:creator>
          <dc:subject>Lattice problems</dc:subject>
          <dc:subject>sieving algorithm</dc:subject>
          <dc:subject>closest vector problem</dc:subject>
          <dc:description>We study the algorithmic complexity of lattice problems based on the&#13;
  sieving technique due to Ajtai, Kumar, and Sivakumar~\cite{aks}.&#13;
  Given a $k$-dimensional subspace $M\subseteq \R^n$ and a full rank&#13;
  integer lattice $\L\subseteq \Q^n$, the \emph{subspace avoiding&#13;
    problem} SAP, defined by Bl\"omer and Naewe \cite{blomer}, is to&#13;
  find a shortest vector in $\L\setminus M$. We first give a $2^{O(n+k&#13;
    \log k)}$ time algorithm to solve \emph{the subspace avoiding&#13;
    problem}.  Applying this algorithm we obtain the following&#13;
  results.&#13;
\begin{enumerate}&#13;
\item We give a $2^{O(n)}$ time algorithm to compute $i^{th}$&#13;
  successive minima of a full rank lattice $\L\subset \Q^n$ if $i$ is&#13;
  $O(\frac{n}{\log n})$. &#13;
\item We give a $2^{O(n)}$ time algorithm to solve a restricted&#13;
  \emph{closest vector problem CVP} where the inputs fulfil a promise&#13;
  about the distance of the input vector from the lattice.&#13;
\item We also show that unrestricted CVP has a $2^{O(n)}$ exact&#13;
  algorithm if there is a $2^{O(n)}$ time exact algorithm for solving&#13;
  CVP with additional input $v_i\in \L, 1\leq i\leq n$, where&#13;
  $\|v_i\|_p$ is the $i^{th}$ successive minima of $\L$ for each $i$. &#13;
\end{enumerate}&#13;
We also give a new approximation algorithm for SAP and the&#13;
\emph{Convex Body Avoiding problem} which is a generalization of SAP.&#13;
Several of our algorithms work for \emph{gauge} functions as metric,&#13;
where the gauge function has a natural restriction and is accessed by&#13;
an oracle.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>V. Arvind and Pushkar S. Joglekar</dc:contributor>
          <dc:date>2008</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 2, IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (2008)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
          <dc:type>publishedVersion</dc:type>
          <dc:format>application/pdf</dc:format>
          <dc:identifier>doi:10.4230/LIPIcs.FSTTCS.2008.1738</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-17380</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSTTCS.2008.1738</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
  </GetRecord>
</OAI-PMH>
