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In this paper, we consider a class of nonconvex-linear minimax problems on Riemannian manifolds, which find wide applications in machine learning and signal processing. For solving this class of problems, we develop a flexible Riemannian…

Optimization and Control · Mathematics 2026-02-12 Meng Xu , Bo Jiang , Ya-Feng Liu , Anthony Man-Cho So

We investigate existence and uniqueness of bounded solutions of parabolic equations with unbounded coefficients in $M\times \mathbb R_+$, where $M$ is a complete noncompact Riemannian manifold. Under specific assumptions, we establish…

Analysis of PDEs · Mathematics 2015-12-01 Paolo Mastrolia , Dario D. Monticelli , Fabio Punzo

We propose an inexact optimization algorithm on Riemannian manifolds, motivated by quadratic discrimination tasks in high-dimensional, low-sample-size (HDLSS) imaging settings. In such applications, gradient evaluations are often biased due…

Optimization and Control · Mathematics 2025-07-08 Uday Talwar , Meredith K. Kupinski , Afrooz Jalilzadeh

The isometric embedding problem for Riemannian manifolds, which connects intrinsic and extrinsic geometry, is a central question in differential geometry with deep theoretical significance and wide-ranging applications. Despite extensive…

Numerical Analysis · Mathematics 2026-02-24 Guangwei Gao , Kaibo Hu , Buyang Li , Ganghui Zhang

In this paper, we define the geometric median of a probability measure on a Riemannian manifold, give its characterization and a natural condition to ensure its uniqueness. In order to calculate the median in practical cases, we also…

Differential Geometry · Mathematics 2019-02-20 Le Yang

The paper proposes a variational-inequality based primal-dual dynamic that has a globally exponentially stable saddle-point solution when applied to solve linear inequality constrained optimization problems. A Riemannian geometric framework…

Optimization and Control · Mathematics 2020-10-07 P. Bansode , V. Chinde , S. R. Wagh , R. Pasumarthy , N. M. Singh

A variational formulation for accelerated optimization on normed vector spaces was recently introduced in Wibisono et al., and later generalized to the Riemannian manifold setting in Duruisseaux and Leok. This variational framework was…

Numerical Analysis · Mathematics 2022-05-18 Valentin Duruisseaux , Melvin Leok

We consider viscosity solutions to nonlinear uniformly parabolic equations in nondivergence form on a Riemannian manifold $M$, with the sectional curvature bounded from below by $-\kappa$ for $\kappa\geq 0$. In the elliptic case, Wang and…

Analysis of PDEs · Mathematics 2014-05-14 Soojung Kim , Ki-Ahm Lee

Adaptive stochastic gradient algorithms in the Euclidean space have attracted much attention lately. Such explorations on Riemannian manifolds, on the other hand, are relatively new, limited, and challenging. This is because of the…

Machine Learning · Computer Science 2019-07-01 Hiroyuki Kasai , Pratik Jawanpuria , Bamdev Mishra

The Calder\'on-Zygmund inequality is a cornerstone of harmonic analysis and partial differential equations. In this article, we establish various Calder\'on-Zygmund inequalities on evolving Riemannian manifolds with bounded curvature. We…

Differential Geometry · Mathematics 2026-03-25 Yongheng Han , Bing Wang

In this paper, we study the existence of solutions for generalized vector quasi-equilibrium problems. Firstly, we prove that in the case of Banach spaces, the assumptions of continuity over correspondences can be weakened. The theoretical…

Optimization and Control · Mathematics 2016-05-12 Monica Patriche

We review recent results on the study of the isoperimetric problem on Riemannian manifolds with Ricci lower bounds. We focus on the validity of sharp second order differential inequalities satisfied by the isoperimetric profile of possibly…

Differential Geometry · Mathematics 2023-05-16 Marco Pozzetta

We study a family of gradient obstacle problems on a compact Riemannian manifold. We prove that the solutions of these free boundary problems are uniformly semiconcave and, as a consequence, we obtain some fine convergence results for the…

Analysis of PDEs · Mathematics 2020-06-15 François Générau , Edouard Oudet , Bozhidar Velichkov

In this work we consider viscosity solutions to second order partial differential equations on Riemannian manifolds. We prove maximum principles for solutions to Dirichlet problem on a compact Riemannian manifold with boundary. Using a…

Differential Geometry · Mathematics 2011-01-31 Shige Peng , Detang Zhou

In this paper, we consider a generalized strong vector quasi-equilibrium problem and we prove the existence of its solutions by using some suxiliary results. One of the established theorems is proved by using an approximation method.

Optimization and Control · Mathematics 2016-05-11 Monica Patriche

Deciding whether saddle points exist or are approximable for nonconvex-nonconcave problems is usually intractable. This paper takes a step towards understanding a broad class of nonconvex-nonconcave minimax problems that do remain…

Optimization and Control · Mathematics 2023-05-30 Peiyuan Zhang , Jingzhao Zhang , Suvrit Sra

In this paper, we establish coincidence-like results in the case when the values of the correspondences are not convex. In order to do this, we define a new type of correspondences, namely properly quasi-convex-like. Further, we apply the…

Optimization and Control · Mathematics 2016-05-11 Monica Patriche

We present a simple method for proving Rellich inequalities on Riemannian manifolds with constant, non-positive sectional curvature. The method is built upon simple convexity arguments, integration by parts, and the so-called Riccati pairs,…

Analysis of PDEs · Mathematics 2025-08-20 Sándor Kajántó

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…

Differential Geometry · Mathematics 2007-05-23 Daniel Azagra , Juan Ferrera

The problem of recovering the configuration of points from their partial pairwise distances, referred to as the Euclidean Distance Matrix Completion (EDMC) problem, arises in a broad range of applications, including sensor network…

Optimization and Control · Mathematics 2026-05-07 Chandler Smith , HanQin Cai , Abiy Tasissa