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The paper is dedicated to the study of strong duality for a problem of linear copositive programming. Based on the recently introduced concept of the set of normalized immobile indices, an extended dual problem is deduced. The dual problem…

Optimization and Control · Mathematics 2020-04-24 Olga Kostyukova , Tatiana Tchemisova

In this work we present two particular cases of the general duality result for linear optimisation problems over signed measures with infinitely many constraints in the form of integrals of functions with respect to the decision variables…

Optimization and Control · Mathematics 2015-01-20 Raphael Hauser , Sergey Shahverdyan

This paper is aimed to prove the strong duality theorem for continuous-time linear programming problems in which the coefficients are assumed to be piecewise continuous functions. The previous paper proved the strong duality theorem for the…

Optimization and Control · Mathematics 2014-11-03 Hsien-Chung Wu

Trust-region (TR) type method, based on a quadratic model such as the trust-region subproblem (TRS) and $ p $-regularization subproblem ($p$RS), is arguably one of the most successful methods for unconstrained minimization. In this paper,…

Optimization and Control · Mathematics 2021-09-07 Liaoyuan Zeng , Ting Kei Pong

We initiate the study of the duality theory of locally recoverable codes, with a focus on the applications. We characterize the locality of a code in terms of the dual code, and introduce a class of invariants that refine the classical…

Information Theory · Computer Science 2022-12-16 Anina Gruica , Benjamin Jany , Alberto Ravagnani

The trust-region problem, which minimizes a nonconvex quadratic function over a ball, is a key subproblem in trust-region methods for solving nonlinear optimization problems. It enjoys many attractive properties such as an exact…

Optimization and Control · Mathematics 2013-09-13 V. Jeyakumar , G. Li

We introduce and study a notion of duality for two classes of optimization problems commonly occurring in probability theory. That is, on an abstract measurable space $(\Omega,\mathcal{F})$, we consider pairs $(E,\mathcal{G})$ where $E$ is…

Probability · Mathematics 2025-07-03 Adam Quinn Jaffe

In this paper, we study the extended trust region subproblem (eTRS) in which the trust region intersects the unit ball with a single linear inequality constraint. By reformulating the Lagrangian dual of eTRS as a two-parameter linear…

Optimization and Control · Mathematics 2015-10-29 Maziar Salahi , Akram Taati

The trust region subproblem with a fixed number m additional linear inequality constraints, denoted by (Tm), have drawn much attention recently. The question as to whether Problem (Tm) is in Class P or Class NP remains open. So far, the…

Optimization and Control · Mathematics 2013-12-06 Yong Hsia , Ruey-Lin Sheu

Maximally supersymmetric gauge theory in four dimensions admits local boundary conditions which preserve half of the bulk supersymmetries. The S-duality of the bulk gauge theory can be extended in a natural fashion to act on such half-BPS…

High Energy Physics - Theory · Physics 2016-11-09 Davide Gaiotto

We study large scale extended trust region subproblems (eTRS) i.e., the minimization of a general quadratic function subject to a norm constraint, known as the trust region subproblem (TRS) but with an additional linear inequality…

Optimization and Control · Mathematics 2015-12-24 Maziar Salahi , Akram Taati , Henry Wolkowicz

We study nonconvex quadratic problems (QPs) with quadratic separable constraints, where these constraints can be defined both as inequalities or equalities. We derive sufficient conditions for these types of problems to present the…

Optimization and Control · Mathematics 2021-11-15 Javier Zazo , Santiago Zazo

For a primal-dual pair of conic linear problems that are described by convex cones $S\subset X$, $T\subset Y$, bilinear symmetric objective functions $\langle\cdot,\cdot\rangle_X$, $\langle\cdot,\cdot\rangle_Y$ and a linear operator…

Optimization and Control · Mathematics 2023-01-23 Nick Dimou

We show that a wide class of risk-constrained nonconvex functional optimization problems exhibit strong duality, regardless of nonconvexity. We develop two novel results under distinct sets of assumptions, establishing strong duality over…

Optimization and Control · Mathematics 2025-11-17 Dionysis Kalogerias , Spyridon Pougkakiotis

We force $2^\lambda$ to be large and for many pairs in the interval $(\lambda,2^\lambda)$ a stronger version of the polarized partition relations hold. We apply this toproblem in general topology

Logic · Mathematics 2023-08-24 Saharon Shelah

In this paper, we consider the extended trust region subproblem (\eTRS) which is the minimization of an indefinite quadratic function subject to the intersection of unit ball with a single linear inequality constraint. Using a variation of…

Optimization and Control · Mathematics 2018-07-23 S. Fallahi , M. Salahi , S. Ansary Karbasy

In 2007 it was conjectured that the Constraint Satisfaction Problem (CSP) over a constraint language $\Gamma$ is tractable if and only if $\Gamma$ is preserved by a weak near-unanimity (WNU) operation. After many efforts and partial…

Computational Complexity · Computer Science 2020-05-05 Dmitriy Zhuk

We prove duality estimates for time-fractional and more general subdiffusion problems. An important example is given by subdiffusive porous medium type equations. Our estimates can be used to prove uniqueness of weak solutions to such…

Analysis of PDEs · Mathematics 2025-09-10 Arlúcio Viana , Patryk Wolejko , Rico Zacher

The generalized Lanczos trust-region (GLTR) method is one of the most popular approaches for solving large-scale trust-region subproblem (TRS). Recently, Jia and Wang [Z. Jia and F. Wang, \emph{SIAM J. Optim., 31 (2021), pp. 887--914}]…

Numerical Analysis · Mathematics 2023-06-27 Bo Feng , Gang Wu

We propose a new inferential framework for constructing confidence regions and testing hypotheses in statistical models specified by a system of high dimensional estimating equations. We construct an influence function by projecting the…

Statistics Theory · Mathematics 2016-06-24 Matey Neykov , Yang Ning , Jun S. Liu , Han Liu
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