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The goal of this paper is to design a simplex algorithm for linear programs on lattice polytopes that traces `short' simplex paths from any given vertex to an optimal one. We consider a lattice polytope $P$ contained in $[0,k]^n$ and…

Optimization and Control · Mathematics 2020-04-09 Alberto Del Pia , Carla Michini

In 2018, the longest vector problem (LVP) and the closest vector problem (CVP) in $p$-adic lattices were introduced. These problems are closely linked to the orthogonalization process. In this paper, we first prove that every $p$-adic…

Number Theory · Mathematics 2025-09-11 Chi Zhang , Yingpu Deng , Zhaonan Wang

The assumed hardness of the Shortest Vector Problem in high-dimensional lattices is one of the cornerstones of post-quantum cryptography. The fastest known heuristic attacks on SVP are via so-called sieving methods. While these still take…

This is an expository paper intended to introduce the polynomial time lattice basis reduction algorithm first described by Arjen Lenstra, Hendrik Lenstra, and L\'aszl\'o Lov\'asz in 1982. We begin by introducing the shortest vector problem,…

Number Theory · Mathematics 2024-11-22 Alex Kalbach , Ted Chinburg

The decision problems on matrices were intensively studied for many decades as matrix products play an essential role in the representation of various computational processes. However, many computational problems for matrix semigroups are…

Formal Languages and Automata Theory · Computer Science 2016-04-28 Igor Potapov , Pavel Semukhin

We show that, assuming NP $\not\subseteq$ $\cap_{\delta > 0}$DTIME$\left(\exp{n^\delta}\right)$, the shortest vector problem for lattices of rank $n$ in any finite $\ell_p$ norm is hard to approximate within a factor of $2^{(\log n)^{1 -…

Computational Complexity · Computer Science 2026-04-07 Isaac M Hair , Amit Sahai

We give a polynomial time Turing reduction from the $\gamma^2\sqrt{n}$-approximate closest vector problem on a lattice of dimension $n$ to a $\gamma$-approximate oracle for the shortest vector problem. This is an improvement over a…

Data Structures and Algorithms · Computer Science 2011-06-20 Chandan Dubey , Thomas Holenstein

Blomer and Naewe[BN09] modified the randomized sieving algorithm of Ajtai, Kumar and Sivakumar[AKS01] to solve the shortest vector problem (SVP). The algorithm starts with $N = 2^{O(n)}$ randomly chosen vectors in the lattice and employs a…

Data Structures and Algorithms · Computer Science 2018-05-16 Divesh Aggarwal , Priyanka Mukhopadhyay

Any ideal in a number field can be factored into a product of prime ideals. In this paper we study the prime ideal shortest vector problem (SVP) in the ring $ \Z[x]/(x^{2^n} + 1) $, a popular choice in the design of ideal lattice based…

Cryptography and Security · Computer Science 2021-03-03 Yanbin Pan , Jun Xu , Nick Wadleigh , Qi Cheng

In this work, we exhibit a hierarchy of polynomial time algorithms solving approximate variants of the Closest Vector Problem (CVP). Our first contribution is a heuristic algorithm achieving the same distance tradeoff as HSVP algorithms,…

Data Structures and Algorithms · Computer Science 2020-06-12 Thomas Espitau , Paul Kirchner

The closest vector problem (CVP) and shortest (nonzero) vector problem (SVP) are the core algorithmic problems on Euclidean lattices. They are central to the applications of lattices in many problems of communications and cryptography.…

Information Theory · Computer Science 2016-11-17 Laura Luzzi , Damien Stehle , Cong Ling

Lattice reduction is a NP-hard problem well known in computer science and cryptography. The Lenstra-Lenstra-Lovasz (LLL) algorithm based on the calculation of orthogonal Gram-Schmidt (GS) bases is efficient and gives a good solution in…

Data Structures and Algorithms · Computer Science 2022-05-10 Cyril Cayron

We introduce and study the \emph{Lattice Distortion Problem} (LDP). LDP asks how "similar" two lattices are. I.e., what is the minimal distortion of a linear bijection between the two lattices? LDP generalizes the Lattice Isomorphism…

Data Structures and Algorithms · Computer Science 2016-11-01 Huck Bennett , Daniel Dadush , Noah Stephens-Davidowitz

The classical low rank approximation problem is to find a rank $k$ matrix $UV$ (where $U$ has $k$ columns and $V$ has $k$ rows) that minimizes the Frobenius norm of $A - UV$. Although this problem can be solved efficiently, we study an…

Data Structures and Algorithms · Computer Science 2019-11-20 Frank Ban , David Woodruff , Qiuyi Zhang

Given an arbitrary basis for a mathematical lattice, to find a ``good" basis for it is one of the classic and important algorithmic problems. In this note, we give a new and simpler proof of a theorem by Regavim (arXiv:2106.03183): we…

Metric Geometry · Mathematics 2023-06-27 Yael Eisenberg , Itamar Rot , Muli Safra

In a seminal work, Micciancio & Voulgaris (2013) described a deterministic single-exponential time algorithm for the Closest Vector Problem (CVP) on lattices. It is based on the computation of the Voronoi cell of the given lattice and thus…

Data Structures and Algorithms · Computer Science 2020-01-08 Christoph Hunkenschröder , Gina Reuland , Matthias Schymura

In this paper, we show that for each lattice basis, there exists an equivalent basis which we describe as ``strongly reduced''. We show that bases reduced in this manner exhibit rather ``short'' basis vectors, that is, the length of the…

Number Theory · Mathematics 2023-05-02 Christian Porter

We study the shortest vector lengths in module lattices over arbitrary number fields, with an emphasis on cyclotomic fields. In particular, we sharpen the techniques of arXiv:2308.15275v2 to establish improved results for the variance of…

Number Theory · Mathematics 2025-10-16 Nihar Gargava , Vlad Serban , Maryna Viazovska , Ilaria Viglino

The Systematic Normal Form (SysNF) is a canonical form of lattices introduced in [Eldar,Shor '16], in which the basis entries satisfy a certain co-primality condition. Using a "smooth" analysis of lattices by SysNF lattices we design a…

Quantum Physics · Physics 2016-11-28 Lior Eldar , Peter W. Shor

We introduce a new canonical form of lattices called the systematic normal form (SNF). We show that for every lattice there is an efficiently computable "nearby" SNF lattice, such that for any lattice one can solve lattice problems on its…

Computational Complexity · Computer Science 2016-04-27 Lior Eldar , Peter W. Shor