Lattice Reduction Algorithms: Theory and Practice

Author:

Nguyen Phong Q.

Publisher

Springer Berlin Heidelberg

Reference43 articles.

1. Agrell, E., Eriksson, T., Vardy, A., Zeger, K.: Closest point search in lattices. IEEE Trans. on Info. Theory 48(8), 2201–2214 (2002)

2. Ajtai, M.: Generating hard instances of lattice problems. In: Proc. STOC 1996, pp. 99–108. ACM, New York (1996)

3. Ajtai, M.: The shortest vector problem in L 2 is NP-hard for randomized reductions. In: Proc. of 30th STOC. ACM, New York (1998)

4. Ajtai, M., Kumar, R., Sivakumar, D.: A sieve algorithm for the shortest lattice vector problem. In: Proc. 33rd STOC, pp. 601–610 (2001)

5. Cassels, J.: An Introduction to the Geometry of Numbers (1997)

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