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This paper concerns the minimization of the composition of a nonsmooth convex function and a $\mathcal{C}^{1,1}$ mapping $F$ over a $\mathcal{C}^2$-smooth embedded closed submanifold $\mathcal{M}$. For this class of nonconvex and nonsmooth…

Optimization and Control · Mathematics 2026-05-12 Hao He , Ruyu Liu , Yitian Qian , Shaohua Pan

In this paper, we uncover a novel connection between the Fenchel-Willmore inequality and a new logarithmic Sobolev inequality for mean-convex submanifolds immersed in non-negatively curved manifolds with Euclidean volume growth. Building on…

Differential Geometry · Mathematics 2025-10-10 Meng Ji , Kwok-Kun Kwong

In this preprint we consider generalizations of discrete and integral Cauchy--Bunyakovskii inequalities by the method of mean values with some applications. Mostly the material is compiled as a short survey but some results are proved. Main…

History and Overview · Mathematics 2022-03-29 S. M. Sitnik

When training neural networks with low-precision computation, rounding errors often cause stagnation or are detrimental to the convergence of the optimizers; in this paper we study the influence of rounding errors on the convergence of the…

Machine Learning · Statistics 2025-01-22 Lu Xia , Michiel E. Hochstenbach , Stefano Massei

Nonconvex and nonsmooth optimization problems are important and challenging for statistics and machine learning. In this paper, we propose Projected Proximal Gradient Descent (PPGD) which solves a class of nonconvex and nonsmooth…

Optimization and Control · Mathematics 2024-09-26 Yingzhen Yang , Ping Li

We extend the Malitsky-Tam forward-reflected-backward (FRB) splitting method for inclusion problems of monotone operators to nonconvex minimization problems. By assuming the generalized concave Kurdyka-{\L}ojasiewicz (KL) property of a…

Optimization and Control · Mathematics 2021-11-18 Xianfu Wang , Ziyuan Wang

In this paper we introduce a novel abstract descent scheme suited for the minimization of proper and lower semicontinuous functions. The proposed abstract scheme generalizes a set of properties that are crucial for the convergence of…

Numerical Analysis · Mathematics 2023-02-16 Silvia Bonettini , Peter Ochs , Marco Prato , Simone Rebegoldi

The purpose of this paper is to extend the full convergence results of the classic GLL-type (Grippo-Lampariello-Lucidi) nonmonotone methods to nonconvex and nonsmooth optimization. We propose a novel iterative framework for the minimization…

Optimization and Control · Mathematics 2025-04-16 Yitian Qian , Ting Tao , Shaohua Pan , Houduo Qi

We investigate geometric and functional inequalities for the class of log-concave probability sequences. We prove dilation inequalities for log-concave probability measures on the integers. A functional analogue of this geometric inequality…

Probability · Mathematics 2023-06-19 Arnaud Marsiglietti , James Melbourne

The Brunn-Minkowski and Pr\'{e}kopa-Leindler inequalities admit a variety of proofs that are inspired by convexity. Nevertheless, the former holds for compact sets and the latter for integrable functions so it seems that convexity has no…

Metric Geometry · Mathematics 2019-12-17 Peter Pivovarov , Jesus Rebollo Bueno

Two kinds of novel generalizations of Nesbitt's inequality are explored in various cases regarding dimensions and parameters in this article. Some other cases are also discussed elaborately by using the semiconcave-semiconvex theorem. The…

General Mathematics · Mathematics 2025-04-02 Junfeng Zhang , Jintao Wang

In this paper, some new inequalities of Ostrowski type established for the class of m- and (alpha,m)-geometrically convex functions which are generalizations of geometric convex functions.

Classical Analysis and ODEs · Mathematics 2012-11-29 Mevlut Tunc

In this paper we continue to advance the theory regarding the Riesz fractional gradient in the calculus of variations and fractional partial differential equations begun in an earlier work of the same name. In particular we here establish…

Functional Analysis · Mathematics 2016-11-23 Daniel Spector , Tien-Tsan Shieh

We study the convergence issue for inexact descent algorithm (employing general step sizes) for multiobjective optimizations on general Riemannian manifolds (without curvature constraints). Under the assumption of the local…

Optimization and Control · Mathematics 2021-03-23 Xiangmei Wang , Jinhua Wang , Chong Li

The hypercontractive inequality is a fundamental result in analysis, with many applications throughout discrete mathematics, theoretical computer science, combinatorics and more. So far, variants of this inequality have been proved mainly…

Discrete Mathematics · Computer Science 2020-10-28 Yuval Filmus , Guy Kindler , Noam Lifshitz , Dor Minzer

The paper proposes and develops a novel inexact gradient method (IGD) for minimizing C1-smooth functions with Lipschitzian gradients, i.e., for problems of C1,1 optimization. We show that the sequence of gradients generated by IGD converges…

Optimization and Control · Mathematics 2024-01-15 Pham Duy Khanh , Boris S. Mordukhovich , Dat Ba Tran

Let $F(x) := (f_{ij}(x))_{i=1,\ldots,p; j=1,\ldots,q},$ be a ($p\times q$)-real polynomial matrix and let $f(x)$ be the smallest singular value function of $F(x).$ In this paper, we first give the following {\em nonsmooth} version of \L…

Algebraic Geometry · Mathematics 2016-04-12 Si Tiep Dinh , Tien Son Pham

These notes constitute a survey on the geometric properties of globally subanalytic sets. We start with their definition and some fundamental results such as Gabrielov's Complement Theorem or existence of cell decompositions. We then give…

Algebraic Geometry · Mathematics 2025-08-01 Guillaume Valette

In this paper we propose a generalized condition for a sharp minimum, somewhat similar to the inexact oracle proposed recently by Devolder-Glineur-Nesterov. The proposed approach makes it possible to extend the class of applicability of…

Optimization and Control · Mathematics 2022-12-13 S. S. Ablaev , D. V. Makarenko , F. S. Stonyakin , M. S. Alkousa , I. V. Baran

In [2] we characterized in terms of a quadratic growth condition various metric regularity properties of the subdifferential of a lower semicontinuous convex function acting in a Hilbert space. Motivated by some recent results in [16] where…

Optimization and Control · Mathematics 2015-07-01 Francisco J. Aragón Artacho , Michel H. Geoffroy