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2D materials with high charge carrier mobility and tunable electronic band gaps have attracted intense research effort for their potential use as active components in nanoelectronics. 2D-conjugated polymers (2DCP) constitute a promising…

We compute the Hausdorff dimension of sets of very well approximable vectors on rational quadrics. We use ubiquitous systems and the geometry of locally symmetric spaces. As a byproduct we obtain the Hausdorff dimension of the set of rays…

Group Theory · Mathematics 2007-05-23 Cornelia Drutu

We propose constructions of codes over quotient rings of Eisenstein integers equipped with the Euclidean, square Euclidean, and hexagonal distances as a generalization of codes over Eisenstein integer fields. By set partitioning, we…

Information Theory · Computer Science 2025-08-28 Abdul Hadi , Uha Isnaini , Indah Emilia Wijayanti , Martianus Frederic Ezerman

The paper introduces a special case of the Euclidean distance matrix completion problem (edmcp) of interest in statistical data analysis where only the minimal spanning tree distances are given and the matrix completion must preserve the…

Optimization and Control · Mathematics 2016-10-24 Adam Rahman , Wayne Oldford

In this paper, we construct MDS Euclidean self-dual codes which are extended cyclic duadic codes. And we obtain many new MDS Euclidean self-dual codes. We also construct MDS Hermitian self-dual codes from generalized Reed-Solomon codes and…

Information Theory · Computer Science 2016-06-24 Hongxi Tong , Xiaoqing Wang

We present a general relation between celestial correlation functions in $d$-dimensions and Witten diagrams in $\left(d+1\right)$-dimensional Euclidean anti-de Sitter (EAdS) space, to all orders in perturbation theory. Contact diagram…

High Energy Physics - Theory · Physics 2023-06-28 Lorenzo Iacobacci , Charlotte Sleight , Massimo Taronna

This paper proposes a hierarchical clustering approach for the segmentation of mobile LiDAR point clouds. We perform the hierarchical clustering on unorganized point clouds based on a proximity matrix. The dissimilarity measure in the…

Computer Vision and Pattern Recognition · Computer Science 2019-06-12 Sheng Xu , Ruisheng Wang , Han Zheng

Given an exact covering system $S = \{a_i$ (mod $d_i$) $: 1 \leq i \leq r\}$, we introduce the corresponding exact covering system digraph (ECSD) $G_S = G(d_1n+a_1, \ldots, d_rn+a_r)$. The vertices of $G_S$ are the integers and the edges…

Combinatorics · Mathematics 2022-02-03 Dana Neidmann

We investigate a natural subfamily of twisted linearized Reed--Solomon (TLRS) codes in the sum-rank metric, where the twist is applied only to the constant term. We establish a simple necessary and sufficient condition for these codes to be…

Information Theory · Computer Science 2026-04-29 Sanjit Bhowmick , Kuntal Deka , Edgar Martínez-Moro

The hull of linear codes have promising utilization in coding theory and quantum coding theory. In this paper, we study the hull of generalized Reed-Solomon codes and extended generalized Reed-Solomon codes over finite fields with respect…

Information Theory · Computer Science 2018-07-13 Gaojun Luo , Xiwang Cao

Continuous maps representations, as opposed to traditional discrete ones such as grid maps, have been gaining traction in the research community. However, current approaches still suffer from high computation costs, making them unable to be…

Robotics · Computer Science 2024-02-09 Erik Warberg , Adam Miksits , Fernando S. Barbosa

Computing persistent homology using Gaussian kernels is useful in the domains of topological data analysis and machine learning as shown by Phillips, Wang and Zheng [SoCG 2015]. However, contrary to the case of computing persistent homology…

Computational Geometry · Computer Science 2023-01-10 Jean-Daniel Boissonnat , Kunal Dutta

By using a combination of algebraic, geometric, and dynamical techniques, together with input from higher dimensional Diophantine approximation, we give a complete characterization of all linearly repetitive cut and project sets with…

Dynamical Systems · Mathematics 2017-02-15 Alan Haynes , Henna Koivusalo , James Walton

We investigate the Euclidean $d$-Dimensional Stable Roommates problem, which asks whether a given set~$V$ of $d \cdot n$ points from the 2-dimensional Euclidean space can be partitioned into $n$ disjoint (unordered) subsets…

Computer Science and Game Theory · Computer Science 2022-07-05 Jiehua Chen , Sanjukta Roy

Deep distance metric learning (DDML), which is proposed to learn image similarity metrics in an end-to-end manner based on the convolution neural network, has achieved encouraging results in many computer vision tasks.$L2$-normalization in…

Computer Vision and Pattern Recognition · Computer Science 2018-03-29 Xuefei Zhe , Shifeng Chen , Hong Yan

A finite set of distinct vectors $\mathcal{X}$ in the $d$-dimensional Euclidean space $\mathbb{R}^d$ is called a $2$-distance set, if the set of mutual distances between distinct elements of $\mathcal{X}$ has cardinality exactly $2$. In…

Metric Geometry · Mathematics 2018-06-21 Ferenc Szöllősi

We prove that if two finitely generated groups act on a metrically complete 2-dimensional Euclidean building, then the distance between their fixed-point sets is realised. Our proof uses the geometry of Euclidean buildings, which we view as…

Group Theory · Mathematics 2022-10-25 Harris Leung , Jeroen Schillewaert , Anne Thomas

Linear complementary-dual (LCD for short) codes are linear codes that intersect with their duals trivially. LCD codes have been used in certain communication systems. It is recently found that LCD codes can be applied in cryptography. This…

Information Theory · Computer Science 2017-02-28 Bocong Chen , Hongwei Liu

The principles that govern the organization of genomes, which are needed for a deeper understanding of how chromosomes are packaged and function in eukaryotic cells, could be deciphered if the three-dimensional (3D) structures are known.…

Soft Condensed Matter · Physics 2023-03-22 Guang Shi , D. Thirumalai

Manifold reconstruction has been extensively studied for the last decade or so, especially in two and three dimensions. Recently, significant improvements were made in higher dimensions, leading to new methods to reconstruct large classes…

Computational Geometry · Computer Science 2007-12-18 Frédéric Chazal , Steve Oudot
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