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The standard convex closed hull of a set is defined as the intersection of all images, under the action of a group of rigid motions, of a half-space containing the given set. In this paper we propose a generalisation of this classical…

Metric Geometry · Mathematics 2024-09-04 Zakhar Kabluchko , Alexander Marynych , Ilya Molchanov

Let $P$ be a set of $n$ points in general position on the plane. A set of closed convex polygons with vertices in $P$, and with pairwise disjoint interiors is called a convex decomposition of $P$ if their union is the convex hull of $P$,…

Combinatorics · Mathematics 2019-09-16 Toshinori Sakai , Jorge Urrutia

We study some systems of polynomials whose support lies in the convex hull of a circuit, giving a sharp upper bound for their numbers of real solutions. This upper bound is non-trivial in that it is smaller than either the Kouchnirenko or…

Algebraic Geometry · Mathematics 2010-03-29 Benoit Bertrand , Frederic Bihan , Frank Sottile

In this paper, we consider the problem of covering a plane region with unit discs. We present an improved upper bound and the first nontrivial lower bound on the number of discs needed for such a covering, depending on the area and…

Computational Geometry · Computer Science 2021-08-03 Shai Gul , Reuven Cohen , Simi Haber

The paper deals with a complex polynomial $H$ in two variables having - a generic highest homogeneous part (without multiple zero lines), - nonconstant lower terms. In particular, under these conditions the polynomial $H$ has at least two…

Algebraic Geometry · Mathematics 2007-05-23 Alexey Glutsyuk

We study the convex hull of a set $S\subset \mathbb{R}^n$ defined by three quadratic inequalities. A simple way of generating inequalities valid on $S$ is to take nonnegative linear combinations of the defining inequalities of $S$. We call…

Algebraic Geometry · Mathematics 2024-05-29 Grigoriy Blekherman , Alex Dunbar

In this paper, we investigate the polyhedral structure of two submodular sets with generalized upper bound (GUB) constraints, which arise as important substructures in various real-world applications. We derive a class of strong valid…

Optimization and Control · Mathematics 2026-01-27 Weikang Qian , Keyan Li , Wei-Kun Chen , Yu-Hong Dai

We address the questions (P1), (P2) asked in Kirchheim-M\"{u}ller-\v{S}ver\'{a}k (2003) concerning the structure of the Rank-$1$ convex hull of a submanifold $\mathcal{K}_1\subset M^{3\times 2}$ that is related to weak solutions of the two…

Analysis of PDEs · Mathematics 2022-09-01 Andrew Lorent , Guanying Peng

The convex hull peeling of a point set consists in taking the convex hull, then removing the extreme points and iterating that procedure until no point remains. The boundary of each hull is called a layer. Following on from [15], we study…

Probability · Mathematics 2024-10-10 Pierre Calka , Gauthier Quilan

We present an efficient framework for solving algebraically-constrained global non-convex polynomial optimization problems over subsets of the hypercube. We prove the existence of an equivalent nonlinear reformulation of such problems that…

Optimization and Control · Mathematics 2024-09-05 Mitchell Tong Harris , Pierre-David Letourneau , Dalton Jones , M. Harper Langston

We construct a convergent family of outer approximations for the problem of optimizing polynomial functions over convex bodies subject to polynomial constraints. This is achieved by generalizing the polarization hierarchy, which has…

Optimization and Control · Mathematics 2024-06-17 Martin Plávala , Laurens T. Ligthart , David Gross

The (n,k)-hypersimplex is the convex hull of all 0/1-vectors of length n with coordinate sum k. We explicitly determine the extension complexity of all hypersimplices as well as of certain classes of combinatorial hypersimplices. To that…

Metric Geometry · Mathematics 2017-02-28 Francesco Grande , Arnau Padrol , Raman Sanyal

Convex maximization encompasses a broad class of optimization problems and is generally NP-hard, even for low-rank objectives. This paper investigates structural conditions under which convex maximization becomes polynomially solvable. From…

Optimization and Control · Mathematics 2026-05-01 Shaoning Han , Liangju Li , Yongchun Li

A union of an arrangement of affine hyperplanes $H$ in $R^d$ is the real algebraic variety associated to the principal ideal generated by the polynomial $p_{H}$ given as the product of the degree one polynomials which define the hyperplanes…

Let $K$ be a full-dimensional convex subset of $\mathbb{R}^n$. We describe a new polynomial-time Turing reduction from the weak separation problem for $K$ to the weak optimization problem for $K$ that is based on a geometric heuristic. We…

Data Structures and Algorithms · Computer Science 2007-05-23 Lawrence M. Ioannou , Benjamin C. Travaglione , Donny Cheung

We introduce the notion of a ``projective hull'' for subsets of complex projective varieties, parallel to the idea of the polynomial hull in affine varieties. With this concept, a generalization of J. Wermer's classical theorem on the hull…

Complex Variables · Mathematics 2017-12-12 F. Reese Harvey , H. Blaine Lawson

We consider convex sets and functions over idempotent semifields, like the max-plus semifield. We show that if $K$ is a conditionally complete idempotent semifield, with completion $\bar{K}$, a convex function $K^n\to\bar{K}$ which is lower…

Functional Analysis · Mathematics 2007-05-23 Guy Cohen , Stephane Gaubert , Jean-Pierre Quadrat , Ivan Singer

Using elementary duality properties of positive semidefinite moment matrices and polynomial sum-of-squares decompositions, we prove that the convex hull of rationally parameterized algebraic varieties is semidefinite representable (that is,…

Optimization and Control · Mathematics 2011-01-31 Didier Henrion

We use filtered modules over a Noetherian ring and fibred bounded control on homomorphisms to construct a new kind of controlled algebra with applications in geometric topology. The theory here can be thought of as a "pushout" of the…

K-Theory and Homology · Mathematics 2020-02-17 Gunnar Carlsson , Boris Goldfarb

A quadratically constrained quadratic program (QCQP) is an optimization problem in which the objective function is a quadratic function and the feasible region is defined by quadratic constraints. Solving non-convex QCQP to global…

Optimization and Control · Mathematics 2018-12-27 Asteroide Santana , Santanu S. Dey
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