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Related papers: Convex and linear models of NP-problems

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The problem of minimizing a multilinear function of binary variables is a well-studied NP-hard problem. The set of solutions of the standard linearization of this problem is called the multilinear set. We study a cardinality constrained…

Optimization and Control · Mathematics 2021-08-31 Rui Chen , Sanjeeb Dash , Oktay Gunluk

These lecture notes for a graduate class present the regularization theory for linear and nonlinear ill-posed operator equations in Hilbert spaces. Covered are the general framework of regularization methods and their analysis via spectral…

Functional Analysis · Mathematics 2021-02-09 Christian Clason

We characterize the solution of a broad class of convex optimization problems that address the reconstruction of a function from a finite number of linear measurements. The underlying hypothesis is that the solution is decomposable as a…

Optimization and Control · Mathematics 2021-07-26 Michael Unser , Shayan Aziznejad

This paper is concerned with the numerical solution of nonlinear ill-posed operator equations involving convex constraints. We study a Newton-type method which consists in applying linear Tikhonov regularization with convex constraints to…

Functional Analysis · Mathematics 2015-04-01 Robert Stück , Martin Burger , Thorsten Hohage

First, we obtain a new formula for Bremermann type upper envelopes, that arise frequently in convex analysis and pluripotential theory, in terms of the Legendre transform of the convex- or plurisubharmonic-envelope of the boundary data.…

Analysis of PDEs · Mathematics 2016-07-05 Tamás Darvas , Yanir A. Rubinstein

We consider the convex quadratic optimization problem with indicator variables and arbitrary constraints on the indicators. We show that a convex hull description of the associated mixed-integer set in an extended space with a quadratic…

Optimization and Control · Mathematics 2022-11-29 Linchuan Wei , Alper Atamtürk , Andrés Gómez , Simge Küçükyavuz

Any square matrix can be transformed into a doubly stochastic matrix via Sinkhorn scaling with diagonal matrices or completing to a larger dimensional matrix. Standard Birkhoff-von Neumann and Pauli decompositions represent such matrices as…

Quantum Physics · Physics 2026-05-28 Ammar Daskin

We prove the well posedness in weighted Sobolev spaces of certain linear and nonlinear elliptic boundary value problems posed on convex domains and under singular forcing. It is assumed that the weights belong to the Muckenhoupt class $A_p$…

Analysis of PDEs · Mathematics 2024-06-18 Tadele Mengesha , Enrique Otarola , Abner J. Salgado

We prove tight upper bounds for the number of vertices of a simple polygon that is the union or the intersection of two simple polygons with given numbers of convex and concave vertices. The similar question on graphs of the lower (or…

Combinatorics · Mathematics 2013-11-27 Pavel Kozhevnikov

We study the enclosure method for the p-Calder\'on problem, which is a nonlinear generalization of the inverse conductivity problem due to Calder\'on that involves the p-Laplace equation. The method allows one to reconstruct the convex hull…

Analysis of PDEs · Mathematics 2015-03-17 Tommi Brander , Manas Kar , Mikko Salo

Particular solutions of the Benney equations are constructed. Their properties are discussed.

Exactly Solvable and Integrable Systems · Physics 2008-05-02 Dryuma Valerii

In this paper some open problems for Painlev\'e equations are discussed. In particular the following open problems are described: (i) the Painlev\'e equivalence problem; (ii) notation for solutions of the Painlev\'e equations; (iii)…

Classical Analysis and ODEs · Mathematics 2019-01-30 Peter A. Clarkson

In this paper an iterated function system on the space of distribution functions is built. The inverse problem is introduced and studied by convex optimization problems. Some applications of this method to approximation of distribution…

Statistics Theory · Mathematics 2007-06-13 Stefano M. Iacus , Davide La Torre

It is shown how the Beneath-and-Beyond algorithm can be used to yield another proof of the equivalence of V- and H-representations of convex polytopes. In this sense this paper serves as the sketch of an introduction to polytope theory with…

Metric Geometry · Mathematics 2007-05-23 Michael Joswig

Polyhedral convex set optimization problems are the simplest optimization problems with set-valued objective function. Their role in set optimization is comparable to the role of linear programs in scalar optimization. Vector linear…

Optimization and Control · Mathematics 2024-01-26 Andreas Löhne

NP complete problem is one of the most challenging issues. The question of whether all problems in NP are also in P is generally considered one of the most important open questions in mathematics and theoretical computer science as it has…

Computational Complexity · Computer Science 2015-05-04 Wenhong Tian , GuoZhong Li , Xinyang Wang , Qin Xiong , Yaqiu Jiang

Bilevel optimization formulates hierarchical decision-making processes that arise in many real-world applications such as in pricing, network design, and infrastructure defense planning. In this paper, we consider a class of bilevel…

Optimization and Control · Mathematics 2021-04-20 Geunyeong Byeon , Pascal Van Hentenryck

The aim of this paper is to study alcoved polytopes, which are polytopes arising from affine Coxeter arrangements. This class of convex polytopes includes many classical polytopes, for example, the hypersimplices. We compare two…

Combinatorics · Mathematics 2007-05-23 Thomas Lam , Alexander Postnikov

In work the numerical solutions of Kundu-Eckhaus equation are presented. The conditions of dominate nonlinearity or disperse are cleared up.

Pattern Formation and Solitons · Physics 2007-05-23 Dmitry Levko , Alexander Volkov

The Edelman-Jamison problem is to characterize those abstract convex geometries that are representable by a set of points in the plane. We show that some natural modification of the Edelman-Jamison problem is equivalent to the well known…

Combinatorics · Mathematics 2017-03-01 Kira Adaricheva , Marcel Wild