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$ \newcommand{\eps}{\varepsilon} \newcommand{\problem}[1]{\ensuremath{\mathrm{#1}} } \newcommand{\CVP}{\problem{CVP}} \newcommand{\SVP}{\problem{SVP}} \newcommand{\CVPP}{\problem{CVPP}} \newcommand{\ensuremath}[1]{#1} $For odd integers $p…

计算复杂性 · 计算机科学 2019-01-28 Huck Bennett , Alexander Golovnev , Noah Stephens-Davidowitz

The Shortest Lattice Vector (SLV) problem is in general hard to solve, except for special cases (such as root lattices and lattices for which an obtuse superbase is known). In this paper, we present a new class of SLV problems that can be…

数据结构与算法 · 计算机科学 2014-04-03 Saeid Sahraei , Michael C. Gastpar

Minkowski proved that any $n$-dimensional lattice of unit determinant has a nonzero vector of Euclidean norm at most $\sqrt{n}$; in fact, there are $2^{\Omega(n)}$ such lattice vectors. Lattices whose minimum distances come close to…

信息论 · 计算机科学 2021-09-13 Ethan Mook , Chris Peikert

We present a new interior-point potential-reduction algorithm for solving monotone linear complementarity problems (LCPs) that have a particular special structure: their matrix $M\in{\mathbb R}^{n\times n}$ can be decomposed as $M=\Phi U +…

机器学习 · 计算机科学 2013-01-01 Geoffrey J. Gordon

The ellipsoid algorithm is a fundamental algorithm for computing a solution to the system of $m$ linear inequalities in $n$ variables $(P): A^{\top}x \le u$ when its set of solutions has positive volume. However, when $(P)$ is infeasible,…

最优化与控制 · 数学 2020-12-29 Jourdain Lamperski , Robert M. Freund , Michael J. Todd

Convex relaxations based on different hierarchies of linear/semi-definite programs have been used recently to devise approximation algorithms for various optimization problems. The approximation guarantee of these algorithms improves with…

数据结构与算法 · 计算机科学 2015-03-20 Venkatesan Guruswami , Ali Kemal Sinop

Problems on repeated geometric patterns in finite point sets in Euclidean space are extensively studied in the literature of combinatorial and computational geometry. Such problems trace their inspiration to Erd\H{o}s' original work on that…

计算几何 · 计算机科学 2022-01-03 Aya Bernstine , Yehonatan Mizrahi

Lattice-based cryptography has emerged as one of the most prominent candidates for post-quantum cryptography, projected to be secure against the imminent threat of large-scale fault-tolerant quantum computers. The Shortest Vector Problem…

量子物理 · 物理学 2024-11-08 Júlia Barberà-Rodríguez , Nicolas Gama , Anand Kumar Narayanan , David Joseph

Matrix completion is the problem of recovering a low rank matrix by observing a small fraction of its entries. A series of recent works [KOM12,JNS13,HW14] have proposed fast non-convex optimization based iterative algorithms to solve this…

数值分析 · 计算机科学 2014-11-06 Prateek Jain , Praneeth Netrapalli

We introduce a framework generalizing lattice reduction algorithms to module lattices in order to practically and efficiently solve the $\gamma$-Hermite Module-SVP problem over arbitrary cyclotomic fields. The core idea is to exploit the…

数据结构与算法 · 计算机科学 2019-12-11 Thomas Espitau , Paul Kirchner , Pierre-Alain Fouque

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…

数论 · 数学 2025-09-11 Chi Zhang , Yingpu Deng , Zhaonan Wang

We investigate the problem of computing tensor product multiplicities for complex semisimple Lie algebras. Even though computing these numbers is #P-hard in general, we show that if the rank of the Lie algebra is assumed fixed, then there…

表示论 · 数学 2016-09-07 Jesús A. De Loera , Tyrrell B. McAllister

What is the value of input information in solving linear programming? The celebrated ellipsoid algorithm tells us that the full information of input constraints is not necessary; the algorithm works as long as there exists an oracle that,…

数据结构与算法 · 计算机科学 2013-11-14 Xiaohui Bei , Ning Chen , Shengyu Zhang

We give an algorithm to compute a one-dimensional shape-constrained function that best fits given data in weighted-$L_{\infty}$ norm. We give a single algorithm that works for a variety of commonly studied shape constraints including…

数据结构与算法 · 计算机科学 2019-05-30 David Durfee , Yu Gao , Anup B. Rao , Sebastian Wild

In multi-objective optimization, computing the entire non-dominated set (also known as the Pareto front or the Pareto frontier) is often intractable. However, for any multiplicative factor greater than one, an approximation set can be…

最优化与控制 · 数学 2026-04-30 Levin Nemesch , Stefan Ruzika , Clemens Thielen , Alina Wittmann

Many NP-hard problems, such as Dominating Set, are FPT parameterized by clique-width. For graphs of clique-width $k$ given with a $k$-expression, Dominating Set can be solved in $4^k n^{O(1)}$ time. However, no FPT algorithm is known for…

离散数学 · 计算机科学 2015-01-05 Sang-il Oum , Sigve Hortemo Sæther , Martin Vatshelle

In this work, we study the trade-off between the running time of approximation algorithms and their approximation guarantees. By leveraging a structure of the `hard' instances of the Arora-Rao-Vazirani lemma [JACM'09], we show that the…

数据结构与算法 · 计算机科学 2018-07-27 Pasin Manurangsi , Luca Trevisan

Recent work [BGS17,ABGS19] has shown SETH hardness of CVP in the $\ell_p$ norm for any $p$ that is not an even integer. This result was shown by giving a Karp reduction from $k$-SAT on $n$ variables to CVP on a lattice of rank $n$. In this…

计算复杂性 · 计算机科学 2023-11-28 Divesh Aggarwal , Rajendra Kumar

The parametric lattice-point counting problem is as follows: Given an integer matrix $A \in Z^{m \times n}$, compute an explicit formula parameterized by $b \in R^m$ that determines the number of integer points in the polyhedron $\{x \in…

计算复杂性 · 计算机科学 2012-07-05 Friedrich Eisenbrand , Nicolai Hähnle

A fundamental problem arising in many applications in Web science and social network analysis is, given an arbitrary approximation factor $c>1$, to output a set $S$ of nodes that with high probability contains all nodes of PageRank at least…

数据结构与算法 · 计算机科学 2015-03-20 Christian Borgs , Michael Brautbar , Jennifer Chayes , Shang-Hua Teng