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Related papers: Complexity of the Havas, Majewski, Matthews LLL He…

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DeepLLL algorithm (Schnorr, 1994) is a famous variant of LLL lattice basis reduction algorithm, and PotLLL algorithm (Fontein et al., 2014) and $S^2$LLL algorithm (Yasuda and Yamaguchi, 2019) are recent polynomial-time variants of DeepLLL…

Data Structures and Algorithms · Computer Science 2021-06-02 Takuto Odagawa , Koji Nuida

Following several decades of successive algorithmic improvements, works from the 2010s have showed how to compute the Hermite normal form (HNF) of a univariate polynomial matrix within a complexity bound which is essentially that of…

Symbolic Computation · Computer Science 2026-02-10 Jérémy Berthomieu , Vincent Neiger , Hugo Passe

Let $n$ be a positive integer. In this paper we estimate the size of the set of linear forms $b_1\log a_1 + b_2\log a_2+...+b_n\log a_n$, where $|b_i|\leq B_i$ and $1\leq a_i\leq A_i$ are integers, as $A_i,B_i\to \infty$.

Number Theory · Mathematics 2010-05-26 Youness Lamzouri

The Lenstra-Lenstra-Lov\'asz (LLL) algorithm is the most practical lattice reduction algorithm in digital communications. In this paper, several variants of the LLL algorithm with either lower theoretic complexity or fixed-complexity…

Information Theory · Computer Science 2010-06-11 Cong Ling , Wai Ho Mow , Nick Howgrave-Graham

Given an n x n matrix over the ring of differential polynomials F(t)[\D;\delta], we show how to compute the Hermite form H of A, and a unimodular matrix U such that UA=H. The algorithm requires a polynomial number of operations in terms of…

Symbolic Computation · Computer Science 2015-05-13 Mark Giesbrecht , Myung Sub Kim

Given an LZW/LZ78 compressed text, we want to find an approximate occurrence of a given pattern of length m. The goal is to achieve time complexity depending on the size n of the compressed representation of the text instead of its length.…

Data Structures and Algorithms · Computer Science 2013-09-23 Pawel Gawrychowski , Damian Straszak

Counting homomorphisms of a constant sized pattern graph $H$ in an input graph $G$ is a fundamental computational problem. There is a rich history of studying the complexity of this problem, under various constraints on the input $G$ and…

Data Structures and Algorithms · Computer Science 2020-11-20 Suman K. Bera , Noujan Pashanasangi , C. Seshadhri

The longest square subsequence (LSS) problem consists of computing a longest subsequence of a given string $S$ that is a square, i.e., a longest subsequence of form $XX$ appearing in $S$. It is known that an LSS of a string $S$ of length…

Data Structures and Algorithms · Computer Science 2020-07-30 Takafumi Inoue , Shunsuke Inenaga , Hideo Bannai

Integer programs with m constraints are solvable in pseudo-polynomial time in $\Delta$, the largest coefficient in a constraint, when m is a fixed constant. We give a new algorithm with a running time of $O(\sqrt{m}\Delta)^{2m} + O(nm)$,…

Data Structures and Algorithms · Computer Science 2022-07-27 Klaus Jansen , Lars Rohwedder

In the Longest Common Factor with $k$ Mismatches (LCF$_k$) problem, we are given two strings $X$ and $Y$ of total length $n$, and we are asked to find a pair of maximal-length factors, one of $X$ and the other of $Y$, such that their…

Given a nonsingular $n \times n$ matrix of univariate polynomials over a field $\mathbb{K}$, we give fast and deterministic algorithms to compute its determinant and its Hermite normal form. Our algorithms use…

Symbolic Computation · Computer Science 2017-03-31 George Labahn , Vincent Neiger , Wei Zhou

We solve the problems of detecting and counting various forms of regularities in a string represented as a Straight Line Program (SLP). Given an SLP of size $n$ that represents a string $s$ of length $N$, our algorithm compute all runs and…

Data Structures and Algorithms · Computer Science 2013-04-29 Tomohiro I , Wataru Matsubara , Kouji Shimohira , Shunsuke Inenaga , Hideo Bannai , Masayuki Takeda , Kazuyuki Narisawa , Ayumi Shinohara

In this paper, we present and study the \emph{Hamming distance oracle problem}. In this problem, the task is to preprocess two strings $S$ and $T$ of lengths $n$ and $m$, respectively, to obtain a data-structure that is able to answer…

Data Structures and Algorithms · Computer Science 2024-07-09 Itai Boneh , Dvir Fried , Shay Golan , Matan Kraus

We study homomorphic hash functions into SL(2,q), the 2x2 matrices with determinant 1 over the field with $q$ elements. Modulo a well supported number theoretic hypothesis, which holds in particular for concrete homomorphisms proposed thus…

Cryptography and Security · Computer Science 2016-07-26 Ciaran Mullan , Boaz Tsaban

In this paper, we describe a new type of match between a pattern and a text that aren't necessarily maximal in the query, but still contain useful matching information: locally maximal exact matches (LEMs). There are usually a large amount…

Data Structures and Algorithms · Computer Science 2025-05-22 Ahsan Sanaullah , Degui Zhi , Shaojie Zhang

We introduce a proof system for Hajek's logic BL based on a relational hypersequents framework. We prove that the rules of our logical calculus, called RHBL, are sound and invertible with respect to any valuation of BL into a suitable…

Logic in Computer Science · Computer Science 2007-05-23 S. Bova , F. Montagna

We analyze the performance of the Harrow-Hassidim-Lloyd algorithm (HHL algorithm) for solving linear problems and of a variant of this algorithm (HHL variant) commonly encountered in literature. This variant relieves the algorithm of…

Quantum Physics · Physics 2024-10-25 Matias Ginzburg , Ugo Marzolino

For any field k and any integers m,n with 0 <= 2m <= n+1, let W_n be the k-vector space of sequences (x_0,...,x_n), and let H_m be the subset of W_n consisting of the sequences that satisfy a degree-m linear recursion, that is, for which…

Combinatorics · Mathematics 2007-05-23 Noam D. Elkies

In sparse convolution-type problems, a common technique is to hash the input integers modulo a random prime $p\in [Q/2,Q]$ for some parameter $Q$, which reduces the range of the input integers while preserving their additive structure.…

Data Structures and Algorithms · Computer Science 2024-04-01 Ce Jin , Yinzhan Xu

Let $A(n,d)$ (respectively $A(n,d,w)$) be the maximum possible number of codewords in a binary code (respectively binary constant-weight $w$ code) of length $n$ and minimum Hamming distance at least $d$. By adding new linear constraints to…

Information Theory · Computer Science 2012-12-17 Hyun Kwang Kim , Phan Thanh Toan