Springer. Heidelberg Dordrecht London New York. 2009. 496 pages. ISBN 978-3-642-02294-4; e-ISBN 978-3-642-02295-1.
Computational aspects of geometry of numbers have been revolutionized by the Lenstra–Lenstra–Lovasz ´ lattice reduction algorithm (LLL), which has led to bre- throughs in elds as diverse as computer algebra, cryptology, and algorithmic number theory. After its publication in 1982, LLL was immediately recognized as one of the most important algorithmic achievements of the twentieth century, because of its broad applicability and apparent simplicity. Its popularity has kept growing since, as testi ed by the hundreds of citations of the original article, and the ever more frequent use of LLL as a synonym to lattice reduction. As an unfortunate consequence of the pervasiveness of the LLL algorithm, researchers studying and applying it belong to diverse scienti c communities, and seldom meet. While discussing that particular issue with Damien Stehle ´ at the 7th Algorithmic Number Theory Symposium (ANTS VII) held in Berlin in July 2006, John Cremona accuratelyremarkedthat 2007would be the 25th anniversaryof LLL and this deserveda meetingto celebrate that event. The year 2007was also involved in another arithmetical story. In 2003 and 2005, Ali Akhavi, Fabien Laguillaumie, and Brigitte Vallee ´ with other colleagues organized two workshops on cryptology and algorithms with a strong emphasis on lattice reduction: CAEN ’03 and CAEN ’05, CAEN denoting both the location and the content (Cryptologie et Algori- miqueEn Normandie). Veryquicklyafterthe ANTSconference, AliAkhavi, Fabien Laguillaumie, and Brigitte Vallee ´ were thus readily contacted and reacted very enthusiastically about organizing the LLL birthday conference. The organization committee was formed.
The History of the LLL-Algorithm.
Hermite’s Constant and Lattice Algorithms.
Probabilistic Analyses of Lattice Reduction Algorithms.
Progress on LLL and Lattice Reduction.
Floating-Point LLL: Theoretical and Practical Aspects.
LLL: A Tool for Effective Diophantine Approximation.
Selected Applications of LLL in Number Theory.
The van Hoeij Algorithm for Factoring Polynomials.
The LLL Algorithm and Integer Programming.
Using LLL-Reduction for Solving RSA and Factorization Problems.
Practical Lattice-Based Cryptography: NTRUEncrypt and NTRUSign.
The Geometry of Provable Security: Some Proofs of Security in Which Lattices Make a Surprise Appearance.
Cryptographic Functions from Worst-Case Complexity Assumptions.
Inapproximability Results for Computational Problems on Lattices.
On the Complexity of Lattice Problems with Polynomial Approximation Factors.
