A Parametric Version of LLL and Some Consequences: Parametric Shortest and Closest Vector Problems

Algorithms for the Shortest and Closest Lattice Vector Problems

We present the state of the art solvers of the Shortest and Closest Lattice Vector Problems in the Euclidean norm. We recall the three main families of algorithms for these problems, namely the algorithm by Micciancio and Voulgaris based on the Voronoi cell [STOC’10], the Monte-Carlo algorithms derived from the Ajtai, Kumar and Sivakumar algorithm [STOC’01] and the enumeration algorithms origin...

Lower semicontinuity for parametric set-valued vector equilibrium-like problems

A concept of weak $f$-property for a set-valued mapping is introduced‎, ‎and then under some suitable assumptions‎, ‎which do not involve any information‎ ‎about the solution set‎, ‎the lower semicontinuity of the solution mapping to‎ ‎the parametric‎ ‎set-valued vector equilibrium-like problems are derived by using a density result and scalarization method‎, ‎where the‎ ‎constraint set $K$...

Chapter 18 Algorithms for the Closest and Shortest Vector Problems

This is a chapter from version 1.1 of the book “Mathematics of Public Key Cryptography” by Steven Galbraith, available from http://www.isg.rhul.ac.uk/̃ sdg/crypto-book/ The copyright for this chapter is held by Steven Galbraith. This book is now completed and an edited version of it will be published by Cambridge University Press in early 2012. Some of the Theorem/Lemma/Exercise numbers may be d...

Solving shortest and closest vector problems: The decomposition approach

In this paper, we present a heuristic algorithm for solving exact, as well as approximate, SVP and CVP for lattices. This algorithm is based on a new approach which is very different from and complementary to the sieving technique. This new approach frees us from the kissing number bound and allows us to solve SVP and CVP in lattices of dimension n in time 2 using memory 2. The key idea is to n...

Parametric Set-Valued Vector Quasi-Equilibrium Problems