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The Total Matching Polytope generalizes the Stable Set Polytope and the Matching Polytope. In this paper, we give the perfect formulation for Trees and we derive two new families of valid inequalities, the balanced biclique inequalities…

Discrete Mathematics · Computer Science 2021-12-01 Luca Ferrarini

We present a framework to obtain valid inequalities for a reverse convex set: the set of points in a polyhedron that lie outside a given open convex set. Reverse convex sets arise in many models, including bilevel optimization and…

Optimization and Control · Mathematics 2020-12-02 Eli Towle , James Luedtke

The cut-rank of a set $X$ of vertices in a graph $G$ is defined as the rank of the $ X \times (V(G)\setminus X)$ matrix over the binary field whose $(i,j)$-entry is $1$ if the vertex $i$ in $X$ is adjacent to the vertex $j$ in…

Combinatorics · Mathematics 2020-11-05 Huy-Tung Nguyen , Sang-il Oum

We study a special class of non-convex quadratic programs subject to two (possibly indefinite) quadratic constraints when the level sets of the constraint functions are {\it not} arranged {\it alternatively.} It is shown in the paper that…

Optimization and Control · Mathematics 2020-12-21 Huu-Quang Nguyen , Ruey-Lin Sheu

We propose a method for low-rank semidefinite programming in application to the semidefinite relaxation of unconstrained binary quadratic problems. The method improves an existing solution of the semidefinite programming relaxation to…

Optimization and Control · Mathematics 2021-12-07 Roman Pogodin , Mikhail Krechetov , Yury Maximov

In the past few years, the slice-rank lemma of Tao has been applied successfully to many problems in extremal combinatorics. In this paper, first, we define a new notion of triangular tensors which generalizes that of triangular matrices…

Combinatorics · Mathematics 2025-11-05 Omran Ahmadi , Hassan Norouzi

The matrix rank and its positive versions are robust for small approximations, i.e. they do not decrease under small perturbations. In contrast, the multipartite tensor rank can collapse for arbitrarily small errors, i.e. there may be a gap…

Quantum Physics · Physics 2025-03-03 Andreas Klingler , Tim Netzer , Gemma De les Coves

Cutting planes are frequently used for solving integer programs. A common strategy is to derive cutting planes from building blocks or a substructure of the integer program. In this paper, we focus on knapsack constraints that arise from…

Optimization and Control · Mathematics 2025-08-19 Christopher Hojny , Cédric Roy

In this paper, we obtain infinitely many non-trivial identities and inequalities between full rank differences for 2-marked Durfee symbols, a generalization of partitions introduced by Andrews. A certain strict inequality, which almost…

Number Theory · Mathematics 2011-09-28 Kathrin Bringmann , Ben Kane

We define a triangle design as a partition of the set of lines of a projective space into triangles, where a triangle consists of three pairwise intersecting lines with no common point. A triangle design is balanced if all points are…

Combinatorics · Mathematics 2025-07-10 Minjia Shi , Xiaoxiao Li , Denis S. Krotov

The nonnegative and positive semidefinite (PSD-) ranks are closely connected to the nonnegative and positive semidefinite extension complexities of a polytope, which are the minimal dimensions of linear and SDP programs which represent this…

Computational Complexity · Computer Science 2017-04-24 Andrii Riazanov , Mikhail Vyalyiy

A key question in many low-rank problems throughout optimization, machine learning, and statistics is to characterize the convex hulls of simple low-rank sets and judiciously apply these convex hulls to obtain strong yet computationally…

Optimization and Control · Mathematics 2025-03-24 Dimitris Bertsimas , Ryan Cory-Wright , Jean Pauphilet

We propose an algorithm for solving nonlinear convex programs defined in terms of a symmetric positive semidefinite matrix variable $X$. This algorithm rests on the factorization $X=Y Y^T$, where the number of columns of Y fixes the rank of…

Optimization and Control · Mathematics 2010-08-25 M. Journée , F. Bach , P. -A. Absil , R. Sepulchre

We prove that there is a unique graph with four edges which is the Gruenberg-Kegel graph of a solvable cut group. This contributes to the classification of the Gruenberg-Kegel graphs of solvable cut groups initiated in [A. B\"achle, A.…

Group Theory · Mathematics 2026-04-03 Sara C. Debón , Diego García-Lucas , Ángel del Río

In this paper we study various versions of extension complexity for polygons through the study of factorization ranks of their slack matrices. In particular, we develop a new asymptotic lower bound for their nonnegative rank, shortening the…

Combinatorics · Mathematics 2016-11-29 António Pedro Goucha , João Gouveia , Pedro M. Silva

We consider the problem of exact low-rank matrix completion from a geometric viewpoint: given a partially filled matrix M, we keep the positions of specified and unspecified entries fixed, and study how the minimal completion rank depends…

Statistics Theory · Mathematics 2019-09-24 Daniel Irving Bernstein , Grigoriy Blekherman , Rainer Sinn

In Linear Algebra over finite fields, a characteristic-dependent linear rank inequality is a linear inequality that holds by ranks of subspaces of a vector space over a finite field of determined characteristic, and does not in general hold…

Information Theory · Computer Science 2019-05-28 Victor Peña , Humberto Sarria

We calculate the real rank and stable rank of CCR algebras which either have only finite dimensional irreducible representations or have finite topological dimension. We show that either rank of A is determined in a good way by the ranks of…

Operator Algebras · Mathematics 2017-06-09 Lawrence G. Brown

We present an affirmative answer to Stanley's zrank problem, namely, the zrank and rank are equal for any skew partition. We show that certain classes of restricted Cauchy matrices are nonsingular and furthermore, the signs depend on the…

Combinatorics · Mathematics 2007-05-23 William Y. C. Chen , Arthur L. B. Yang

We study several variants of decomposing a symmetric matrix into a sum of a low-rank positive semidefinite matrix and a diagonal matrix. Such decompositions have applications in factor analysis and they have been studied for many decades.…

Optimization and Control · Mathematics 2023-10-02 Levent Tunçel , Stephen A. Vavasis , Jingye Xu