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Positive spanning sets span a given vector space by nonnegative linear combinations of their elements. These have attracted significant attention in recent years, owing to their extensive use in derivative-free optimization. In this…

Numerical Analysis · Mathematics 2024-11-15 Warren Hare , Gabriel Jarry-Bolduc , Sébastien Kerleau , Clément W. Royer

A strong arc decomposition of a digraph $D=(V,A)$ is a decomposition of its arc set $A$ into two disjoint subsets $A_1$ and $A_2$ such that both of the spanning subdigraphs $D_1=(V,A_1)$ and $D_2=(V,A_2)$ are strong. Let $T$ be a digraph…

Discrete Mathematics · Computer Science 2019-04-01 Joergen Bang-Jensen , Gregory Gutin , Anders Yeo

This work introduces and systematically studies a new convex cone of PCOP (pairwise copositive). We establish that this cone is dual to the cone of PCP (pairwise completely positive) and, critically, provides a complete characterization for…

Quantum Physics · Physics 2025-11-18 Aabhas Gulati , Ion Nechita , Sang-Jun Park

This paper is devoted to the stability analysis of spatially interconnected systems (SISs) via the sum-of-squares (SOS) decomposition of positive trigonometric polynomials. For each spatial direction of SISs, three types of interconnected…

Systems and Control · Electrical Eng. & Systems 2022-02-25 Xiaokai Zhai

The cosine measure was introduced in 2003 to quantify the richness of a finite positive spanning sets of directions in the context of derivative-free directional methods. A positive spanning set is a set of vectors whose nonnegative linear…

Optimization and Control · Mathematics 2024-10-28 Charles Audet , Warren Hare , Gabriel Jarry-Bolduc

A digraph $D=(V,A)$ has a good decomposition if $A$ has two disjoint sets $A_1$ and $A_2$ such that both $(V,A_1)$ and $(V,A_2)$ are strong. Let $T$ be a digraph with $t$ vertices $u_1,\dots , u_t$ and let $H_1,\dots H_t$ be digraphs such…

Discrete Mathematics · Computer Science 2018-12-24 Yuefang Sun , Gregory Gutin , Jiangdong Ai

Projected entangled pair states (PEPS) are very useful in the description of strongly correlated systems, partly because they allow encoding symmetries, either global or local (gauge), naturally. In recent years, PEPS with local symmetries…

High Energy Physics - Lattice · Physics 2025-08-25 David Blanik , José Garre-Rubio , András Molnár , Erez Zohar

Since Darwin, species trees have been used as a simplified description of the relationships which summarize the complicated network $N$ of reality. Recent evidence of hybridization and lateral gene transfer, however, suggest that there are…

Populations and Evolution · Quantitative Biology 2016-11-17 Stephen J. Willson

In this paper, we study structured symmetric tensors. We introduce several new classes of structured symmetric tensors: completely decomposable (CD) tensors, strictly sum of squares (SSOS) tensors and SOS$^*$ tensors. CD tensors have…

Optimization and Control · Mathematics 2025-11-20 Liqun Qi , Chunfeng Cui , Yi Xu

The concept of coreflexive set is introduced to study the structure of digraphs. New characterizations of line digraphs and nth-order line digraphs are given. Coreflexive sets also lead to another natural way of forming an intersection…

Combinatorics · Mathematics 2007-05-23 Xinming Liu , Douglas B. West

We introduce {odd-order} strongly PSD (positive semi-definite) tensors which map real vectors to nonnegative vectors. We then introduce odd-order strongly SOS (sum-of-squares) tensors. A strongly SOS tensor maps real vectors to nonnegative…

Rings and Algebras · Mathematics 2025-01-07 Liqun Qi , Chunfeng Cui

A matching $M$ in a graph $\Gamma$ is positive if $\Gamma$ has a vertex-labeling such that $M$ coincides with the set of edges with positive weights. A positive matching decomposition (pmd) of $\Gamma$ is an edge-partition $M_1,\ldots,M_p$…

In this paper, we first study what we call Superset-Subset-Disjoint (SSD) set system. Based on properties of SSD set system, we derive the following (I) to (IV): (I) For a nonnegative integer $k$ and a graph $G=(V,E)$ with $|V|\ge2$, let…

Data Structures and Algorithms · Computer Science 2024-09-26 Kan Shota , Kazuya Haraguchi

In this paper, we extend some classes of structured matrices to higher order tensors. We discuss their relationships with positive semi-definite tensors and some other structured tensors. We show that every principal sub-tensor of such a…

Spectral Theory · Mathematics 2014-06-24 Yisheng Song , Liqun Qi

In this survey we overview known results on the strong subgraph $k$-connectivity and strong subgraph $k$-arc-connectivity of digraphs. After an introductory section, the paper is divided into four sections: basic results, algorithms and…

Discrete Mathematics · Computer Science 2018-08-09 Yuefang Sun , Gregory Gutin

In real-world systems, the relationships and connections between components are highly complex. Real systems are often described as networks, where nodes represent objects in the system and edges represent relationships or connections…

Algebraic Topology · Mathematics 2024-06-24 Shen Zhang

Prepositions are highly polysemous, and their variegated senses encode significant semantic information. In this paper we match each preposition's complement and attachment and their interplay crucially to the geometry of the word vectors…

Computation and Language · Computer Science 2017-02-07 Hongyu Gong , Jiaqi Mu , Suma Bhat , Pramod Viswanath

This paper considers distributed storage systems (DSSs) from a graph theoretic perspective. A DSS is constructed by means of the path decomposition of a 3- regular graph into P4 paths. The paths represent the disks of the DSS and the edges…

Information Theory · Computer Science 2016-10-04 Shuhong Gao , Fiona Knoll , Felice Manganiello , Gretchen Matthews

The theory of graphons has proven to be a powerful tool in many areas of graph theory. In this paper, we introduce several foundational aspects of the theory of digraphons -- asymmetric two-variable functions that arise as limits of…

Combinatorics · Mathematics 2025-12-16 Jan Hladký , Petr Savický

Learning from unordered sets is a fundamental learning setup, recently attracting increasing attention. Research in this area has focused on the case where elements of the set are represented by feature vectors, and far less emphasis has…

Machine Learning · Computer Science 2020-12-01 Haggai Maron , Or Litany , Gal Chechik , Ethan Fetaya
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