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相关论文: A study of Geodesic (E, F)-preinvex Functions on R…

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In this article, we have introduced the concept of \textit{geodesic $(\alpha,E)$-invex set} and by using this concept the notion of \textit{geodesic $(\alpha,E)$-preinvex functions} and \textit{geodesic $(\alpha,E)$-invex functions} are…

微分几何 · 数学 2019-08-05 Absos Ali Shaikh Chandan Kumar Mondal , Ravi P Agarwal

The authors define a class of functions on Riemannian manifolds, which is called geodesic semilocal E-preinvex functions, as a generalization of geodesic semilocal E-convex and geodesic semi E-preinvex functions and some of its properties…

微分几何 · 数学 2018-08-29 Adem Kiliçman , Wedad Saleh

We introduce a notion of quasiconvexity for continuous functions $f$ defined on the vector bundle of linear maps between the tangent spaces of a smooth Riemannian manifold $(M,g)$ and $\mathbb{R}^m$, naturally generalizing the classical…

偏微分方程分析 · 数学 2026-04-21 Aurora Corbisiero , Chiara Leone , Carlo Mantegazza

We consider the proximal gradient method on Riemannian manifolds for functions that are possibly not geodesically convex. Starting from the forward-backward-splitting, we define an intrinsic variant of the proximal gradient method that uses…

最优化与控制 · 数学 2025-06-12 Ronny Bergmann , Hajg Jasa , Paula John , Max Pfeffer

We find a different approach to define convex functions in the sub-Riemannian setting. A function on a sub-Riemannian manifold is nonholonomically geodesic convex if its restriction to any nonholonomic (straightest) geodesic is convex. In…

微分几何 · 数学 2007-05-23 Kang-Hai Tan

We show how an operation of inf-convolution can be used to approximate convex functions with $C^{1}$ smooth convex functions on Riemannian manifolds with nonpositive curvature (in a manner that not only is explicit but also preserves some…

微分几何 · 数学 2007-05-23 Daniel Azagra , Juan Ferrera

In this paper, we extend the class of strongly $E$-preinvex and strongly $E$-invex functions to quasi strongly $E$-preinvex, quasi strongly $E$-invex and pseudo strongly $E$-invex functions. Some nontrivial suitable examples have been…

最优化与控制 · 数学 2023-01-19 Akhlad Iqbal , Askar Hussain

In this paper, we define f-eikonal helix curves and f-eikonal V_{n}-slant helix curves in a n-dimensional Riemannian manifold. Also, we give the definition of harmonic curvature functions related to f-eikonal helix curves and f-eikonal…

微分几何 · 数学 2012-11-22 Ali Şenol , Evren Ziplar , Yusuf Yayli

In this paper, we present strongly geodesic preinvexity on Riemannian manifolds (RM) and strongly {\eta}-invexity of order m on RM. Furthermore, we define strongly invariant {\eta}-monotonicity of order m on RM. Under Condition C, an…

最优化与控制 · 数学 2023-02-07 Akhlad Iqbal , Askar Hussain , Hilal Ahmad Bhat

We define w-invex set, w-preinvex, w-strictly preinvex, w-quasi preinvex, w-strictly quasi preinvex, w-semi-strictly quasi preinvex, and w-pre pseudo-invex functions in this context. And these form a class of real functions, which is the…

最优化与控制 · 数学 2022-08-23 Musavvir Ali , Ehtesham Akhter

This note deals with certain properties of convex functions. We provide results on the convexity of the set of minima of these functions, the behaviour of their subgradient set under restriction, and optimization of these functions over an…

最优化与控制 · 数学 2017-03-21 Miel Sharf , Daniel Zelazo

The space of embedded submanifolds plays an important role in applications such as computational anatomy and shape analysis. We can define two different classes on Riemannian metrics on this space: so-called outer metrics are metrics that…

微分几何 · 数学 2017-09-19 Martins Bruveris

We consider a class of nonsmooth optimization problems over the Stiefel manifold, in which the objective function is weakly convex in the ambient Euclidean space. Such problems are ubiquitous in engineering applications but still largely…

最优化与控制 · 数学 2021-03-26 Xiao Li , Shixiang Chen , Zengde Deng , Qing Qu , Zhihui Zhu , Anthony Man Cho So

Riemannian accelerated gradient methods have been well studied for smooth optimization, typically treating geodesically convex and geodesically strongly convex cases separately. However, their extension to nonsmooth problems on manifolds…

最优化与控制 · 数学 2025-09-29 Shuailing Feng , Yuhang Jiang , Wen Huang , Shihui Ying

The main goal of this paper is to present results of existence and non-existence of convex functions on Riemannian manifolds and, in the case of the existence, we associate such functions to the geometry of the manifold. Precisely, we prove…

微分几何 · 数学 2016-12-13 J. X. Cruz Neto , Ítalo Melo , Paulo Sousa

Group equivariant non-expansive operators have been recently proposed as basic components in topological data analysis and deep learning. In this paper we study some geometric properties of the spaces of group equivariant operators and show…

微分几何 · 数学 2024-01-02 Pasquale Cascarano , Patrizio Frosini , Nicola Quercioli , Amir Saki

This work concerns the study of the subdifferential of the integral functional $$ E_f(x)=\int_{T} f(t,x)d\mu(t), $$ where $f$ is a (not necessarily convex) normal integrand, $({T},\mathcal{A},\mu)$ is a $\sigma$-finite measure space, while…

最优化与控制 · 数学 2019-02-19 Rafael Correa , Abderrahim Hantoute , Pedro Pérez-Aros

We introduce a proximal subdifferential and develop a calculus for nonsmooth functions defined on any Riemannian manifold $M$. We give several applications of this theory, concerning: 1) differentiability and geometrical properties of the…

微分几何 · 数学 2007-05-23 Daniel Azagra , Juan Ferrera

We study integral functionals defined on scalar Sobolev spaces of the form $$E[f]:u\mapsto \int_\Omega f(x,u(x),\nabla u(x)) d x,$$ with an emphasis on the non-convex case, and the difficulties it involves to prevent the Lavrentiev…

偏微分方程分析 · 数学 2025-10-09 Tommaso Bertin , Paulin Huguet

We extend the Theory of Computation on real numbers, continuous real functions, and bounded closed Euclidean subsets, to compact metric spaces $(X,d)$: thereby generically including computational and optimization problems over higher types,…

计算机科学中的逻辑 · 计算机科学 2017-03-28 Chansu Park , Ji-Won Park , Sewon Park , Dongseong Seon , Martin Ziegler
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