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Lattice Basis Reduction in Infinity Norm - Technische Universität ...

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Contents<br />

1 Introduction 1<br />

2 Mathematical Background 3<br />

2.1 Basic Def<strong>in</strong>itions . . . . . . . . . . . . . . . . . . . . . . . . . 3<br />

2.2 <strong>Lattice</strong>s and Successive M<strong>in</strong>ima . . . . . . . . . . . . . . . . . 4<br />

2.3 Distance Functions . . . . . . . . . . . . . . . . . . . . . . . . 6<br />

3 Gauss’ Algorithm 8<br />

3.1 Gauss - reduced Bases . . . . . . . . . . . . . . . . . . . . . . 8<br />

3.2 Gauss Algorithm with Euclidean <strong>Norm</strong> . . . . . . . . . . . . . 9<br />

3.3 Generalized Gauss Algorithm . . . . . . . . . . . . . . . . . . 9<br />

3.4 Inf<strong>in</strong>ity <strong>Norm</strong> Algorithm . . . . . . . . . . . . . . . . . . . . . 10<br />

3.5 Time Bounds . . . . . . . . . . . . . . . . . . . . . . . . . . . 12<br />

4 LLL 14<br />

4.1 LLL-reduced <strong>Basis</strong> . . . . . . . . . . . . . . . . . . . . . . . . 14<br />

4.2 LLL Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . 16<br />

4.3 LS Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . 17<br />

4.4 Comput<strong>in</strong>g the Distance Functions <strong>in</strong> Inf<strong>in</strong>ity <strong>Norm</strong> . . . . . 18<br />

4.5 Time Bounds . . . . . . . . . . . . . . . . . . . . . . . . . . . 19<br />

5 Block-Kork<strong>in</strong>e-Zolotarev Algorithm 21<br />

5.1 BKZ-reduced lattice basis . . . . . . . . . . . . . . . . . . . . 21<br />

5.2 BKZ Algorithm with Euclidean <strong>Norm</strong> . . . . . . . . . . . . . 22<br />

5.3 BKZ Algorithm with an Arbitrary <strong>Norm</strong> . . . . . . . . . . . . 25<br />

5.4 Enumeration for Inf<strong>in</strong>ity <strong>Norm</strong> . . . . . . . . . . . . . . . . . 28<br />

5.5 Time Bounds . . . . . . . . . . . . . . . . . . . . . . . . . . . 29<br />

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