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Related papers: Ekeland variational principles with set-valued obj…

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We establish a pre-order principle. From the principle, we obtain a very general set-valued Ekeland variational principle, where the objective function is a set-valued map taking values in a quasi ordered linear space and the perturbation…

Functional Analysis · Mathematics 2013-11-21 Jing-Hui Qiu

In this paper, we establish a partial order principle, which is useful to deriving vector Ekeland variational principle (denoted by EVP). By using the partial order principle and extending Gerstewitz's functions, we obtain a vector EVP for…

Functional Analysis · Mathematics 2016-11-11 Jing-Hui Qiu

In my former paper "A pre-order principle and set-valued Ekeland variational principle" (see: arXiv: 1311.4951[math.FA]), we established a general pre-order principle. From the pre-order principle, we deduced most of the known set-valued…

Functional Analysis · Mathematics 2014-05-08 Jing-Hui Qiu

Roughly speaking, Ekeland's Variational Principle (EkVP) (J. Math. Anal. Appl. 47 (1974), 324--353) asserts the existence of strict minima of some perturbed versions of lower semicontinuous functions defined on a complete metric space.…

Functional Analysis · Mathematics 2024-02-13 S. Cobzaş

We consider vector and set optimization problems with respect to variable domination structures given by set-valued mappings acting between the preimage space and the image space of the objective mapping, as well as by set-valued mappings…

Optimization and Control · Mathematics 2025-03-11 Marius Durea , Christian Günther , Radu Strugariu , Christiane Tammer

The present paper is concerned with Ekeland Variational Principle (EkVP) and its equivalents (Caristi-Kirk fixed point theorem, Takahashi minimization principle, Oettli-Th\'era equilibrium version of EkVP) in quasi-uniform spaces. These…

Functional Analysis · Mathematics 2022-04-25 S. Cobzas

The purpose of this article is to obtain a better understanding of the extended variational principle (EVP). The EVP is a formula for the thermodynamic pressure of a statistical mechanical system as a limit of a sequence of minimization…

Mathematical Physics · Physics 2011-08-25 Eugene Kritchevski , Shannon Starr

We analyze Ekeland's variational principle in the context of reverse mathematics. We find that that the full variational principle is equivalent to $\Pi^1_1$-${\sf CA}_0$, a strong theory of second-order arithmetic, while natural…

Logic · Mathematics 2020-09-16 David Fernández-Duque , Paul Shafer , Keita Yokoyama

In this paper, we obtain a version of Ekeland's variational principle for interval-value functions by means of the Dancs-Hegedus-Medvegyev theorem [14]. We also derive two versions of Ekeland's variational principle involving the…

Optimization and Control · Mathematics 2021-05-12 Chuang-liang Zhang , Nan-jing Huang

In this paper, we attempt to propose Ekeland's variational principle for interval-valued functions (IVFs). To develop the variational principle, we study the concept of sequence of intervals. In the sequel, the idea of gH-semicontinuity for…

Optimization and Control · Mathematics 2021-04-23 Gourav Kumar , Debdas Ghosh

This paper addresses a large class of vector optimization problems in infinite-dimensional spaces with respect to two important binary relations derived from domination structures. Motivated by theoretical challenges as well as by…

Optimization and Control · Mathematics 2021-02-17 Truong Q. Bao , Boris S. Mordukhovich , Antoine Soubeyran , Christiane Tammer

The variance conjecture in Asymptotic Convex Geometry stipulates that the Euclidean norm of a random vector uniformly distributed in a (properly normalised) high-dimensional convex body $K\subset {\mathbb R}^n$ satisfies a Poincar\'e-type…

Functional Analysis · Mathematics 2018-05-09 Beatrice-Helen Vritsiou

We propose Equiangular Basis Vectors (EBVs) for classification tasks. In deep neural networks, models usually end with a k-way fully connected layer with softmax to handle different classification tasks. The learning objective of these…

Computer Vision and Pattern Recognition · Computer Science 2023-05-09 Yang Shen , Xuhao Sun , Xiu-Shen Wei

In this paper, we present some implicit function theorems for set-valued mappings between Fr\'echet spaces. The proof relies on Lebesgue's Dominated Convergence Theorem and on Ekeland's variational principle. An application to the existence…

Classical Analysis and ODEs · Mathematics 2017-02-23 Van Ngai Huynh , Michel Théra

The restricted strong convexity is an effective tool for deriving globally linear convergence rates of descent methods in convex minimization. Recently, the global error bound and quadratic growth properties appeared as new competitors. In…

Optimization and Control · Mathematics 2016-06-21 Hui Zhang

In this short communication, we present a generalization of the Ekeland variational principle. The main result is established through standard tools of functional analysis and calculus of variations. The novelty here is a result involving…

Functional Analysis · Mathematics 2020-06-24 Fabio Silva Botelho

The vectorial Zhu-Li Variational Principle (ZLVP) in Fang uniform spaces is in the logical segment between the Brezis-Browder ordering principle (BB) and Ekeland's Variational Principle (EVP); hence, it is equivalent with both BB and EVP.…

Optimization and Control · Mathematics 2013-02-12 Mihai Turinici

Ioffe's criterion and various reformulations of it have become a~standard tool in proving theorems guaranteeing metric regularity of a (set-valued) mapping. First, we demonstrate that one should always use directly the so-called general…

Functional Analysis · Mathematics 2022-05-26 Radek Cibulka , Tomáš Roubal

In this paper, we develop a variational perturbation (VP) scheme for calculating vacuum expectation values (VEVs) of local fields in quantum field theories. For a comparatively general scalar field model, the VEV of a comparatively general…

High Energy Physics - Theory · Physics 2007-05-23 Wen-Fa Lu

We propose, as an alternative theory of quantum mechanics, a relativistically covariant variational principle (VP) capable of describing both wavefunction collapse and, as an appropriate limiting case, evolution of the wavefunction…

Quantum Physics · Physics 2012-04-19 Alan K. Harrison
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