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In this paper we introduce and study a new sequence of positive linear operators acting on function spaces defined on a convex compact subset. Their construction depends on a given Markov operator, a positive real number and a sequence of…

Functional Analysis · Mathematics 2017-10-18 Francesco Altomare , Mirella Cappelletti Montano , Vita Leonessa , Ioan Rasa

In this paper, we prove some operator inequalities associated with an extension of the Kantorovich type inequality for $s$-convex function. We also give an application to the order preserving power inequality of three variables and find a…

Functional Analysis · Mathematics 2022-10-11 Ismail Nikoufar , Davuod Saeedi

Functions that are piecewise defined are a common sight in mathematics while convexity is a property especially desired in optimization. Suppose now a piecewise-defined function is convex on each of its defining components - when can we…

Classical Analysis and ODEs · Mathematics 2014-08-19 Heinz H. Bauschke , Yves Lucet , Hung M. Phan

We analyze matrix convex functions of a fixed order defined on a real interval by differential methods as opposed to the characterization in terms of divided differences given by Kraus. We obtain for each order conditions for matrix…

Operator Algebras · Mathematics 2007-05-23 Frank Hansen , Jun Tomiyama

A function of a matrix is polyconvex when it can be expressed as a convex function of the matrix minors. Polyconvexity is a regularity condition ensuring existence of minimizers in nonlinear elasticity and, more broadly, in vectorial…

Optimization and Control · Mathematics 2026-04-14 Giovanni Fantuzzi , Didier Henrion , Martin Kru{ž}ík , Ajay Murali , Stephan Weis

We study Kantorovich type optimal transportation problems with nonlinear cost functions, including dependence on conditional measures of transport plans. A range of nonlinear Kantorovich problems for cost functions of a special form is…

Functional Analysis · Mathematics 2022-12-21 Svetlana Popova

Quasar convexity is a condition that allows some first-order methods to efficiently minimize a function even when the optimization landscape is non-convex. Previous works develop near-optimal accelerated algorithms for minimizing this class…

Optimization and Control · Mathematics 2023-02-16 Jun-Kun Wang , Andre Wibisono

The paper introduces several new concepts for solving nonconvex or nonsmooth optimization problems, including convertible nonconvex function, exact convertible nonconvex function and differentiable convertible nonconvex function. It is…

Optimization and Control · Mathematics 2022-01-13 Min Jiang , Rui Shen , Zhiqing Meng , Chuangyin Dang

The concept of convex compactness, weaker than the classical notion of compactness, is introduced and discussed. It is shown that a large class of convex subsets of topological vector spaces shares this property and that is can be used in…

Functional Analysis · Mathematics 2010-06-02 Gordan Zitkovic

We prove a condition on f \in C^2(\R+,\R) for the convexity of (f o det) on PSym(n), namely that f o det is convex on PSym(n) if and only if f"(s)+(n-1)/(ns) f'(s) >= 0 and f'(s)<= 0 \forall s \in \R+. This generalizes the observation that…

Mathematical Physics · Physics 2012-09-26 Stephan Lehmich , Patrizio Neff , Johannes Lankeit

We consider symmetric multi-marginal Kantorovich optimal transport problems on finite state spaces with uniform-marginal constraint. These problems consist of minimizing a linear objective function over a high-dimensional polytope, here…

Analysis of PDEs · Mathematics 2021-10-29 Daniela Vögler

We present some operator inequalities for positive linear maps that generalize and improve the derived results in some recent years. For instant, if $A$ and $B$ are positive operators and $m,m^{'},M,M^{'}$ are positive real numbers…

Functional Analysis · Mathematics 2018-01-09 Leila Nasiri , Mojtaba Bakherad

The condition number of a smooth convex function, namely the ratio of its smoothness to strong convexity constants, is closely tied to fundamental properties of the function. In particular, the condition number of a quadratic convex…

Optimization and Control · Mathematics 2018-02-02 David H. Gutman , Javier F. Pena

In this paper, we present sufficient conditions ensuring that the sum of the image of quadratic functions and the nonnegative orthant is convex. The hidden convexity of the trust-region problem with linear inequality constraints is…

Optimization and Control · Mathematics 2026-01-21 Nguyen Quang Huy , Nguyen Huy Hung , Tran Van Nghi , Hoang Ngoc Tuan , Nguyen Van Tuyen

As the title suggests, this is the third paper in a series addressing bilevel optimization problems that are governed by the Kantorovich problem of optimal transport. These tasks can be reformulated as mathematical problems with…

Optimization and Control · Mathematics 2025-09-03 Sebastian Hillbrecht

In this article we consider a convex feasible set described by inequality constraints that are continuous and not necessarily Lipschitz or convex. We show that if the Slater constraint qualification and a non-degeneracy condition are…

Optimization and Control · Mathematics 2019-02-11 S R Pattanaik

In this work we derive a convex dual representation for increasing convex functionals on a space of real-valued Borel measurable functions defined on a countable product of metric spaces. Our main assumption is that the functionals fulfill…

Functional Analysis · Mathematics 2017-02-22 Daniel Bartl , Patrick Cheridito , Michael Kupper , Ludovic Tangpi

This paper is concerned with an optimization problem that is constrained by the Kantorovich optimal transportation problem. This bilevel optimization problem can be reformulated as a mathematical problem with complementarity constraints in…

Optimization and Control · Mathematics 2022-11-15 Sebastian Hillbrecht , Paul Manns , Christian Meyer

This paper is concerned with an optimization problem governed by the Kantorovich optimal transportation problem. This gives rise to a bilevel optimization problem, which can be reformulated as a mathematical problem with complementarity…

Optimization and Control · Mathematics 2022-06-28 Sebastian Hillbrecht , Christian Meyer

This paper presents necessary, sufficient, and equivalent conditions for the spherical convexity of non-homogeneous quadratic functions. In addition to motivating this study and identifying useful criteria for determining whether such…

Optimization and Control · Mathematics 2025-02-12 R. Bolton , S. Z. Németh
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