Results 31 to 40 of about 1,281,767 (368)
The extensive 1-median problem with radius on networks [PDF]
Opuscula Mathematica, 2023 The median location problem concerns finding locations of one or several new facilities that minimize the overall weighted distances from the existing to the new facilities.
Tran Hoai Ngoc Nhan +2 more
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Non-Linear Inner Structure of Topological Vector Spaces
Mathematics, 2021 Inner structure appeared in the literature of topological vector spaces as a tool to characterize the extremal structure of convex sets. For instance, in recent years, inner structure has been used to provide a solution to The Faceless Problem and to ...
Francisco Javier García-Pacheco +3 more
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The Power of Convex Relaxation: Near-Optimal Matrix Completion [PDF]
IEEE Transactions on Information Theory, 2009 This paper is concerned with the problem of recovering an unknown matrix from a small fraction of its entries. This is known as the matrix completion problem, and comes up in a great number of applications, including the famous Netflix Prize and other ...
E. Candès, T. Tao
semanticscholar +1 more source
Hermite-Hadamard type inequalities in the setting of k-fractional calculus theory with applications
AIMS Mathematics, 2020 The main objective of this paper is to derive some new k-fractional refinements of HermiteHadamard like inequalities. We also discuss some new special cases of the main results.
Bandar Bin-Mohsin +3 more
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A Rewriting System for Convex Optimization Problems [PDF]
Journal of Control and Decision, 2017 We describe a modular rewriting system for translating optimization problems written in a domain-specific language to forms compatible with low-level solver interfaces.
Akshay Agrawal +3 more
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Projected Stochastic Gradients for Convex Constrained Problems in Hilbert Spaces
, 2019 Convergence of a projected stochastic gradient algorithm is demonstrated for convex objective functionals with convex constraint sets in Hilbert spaces.
Geiersbach, Caroline, Pflug, Georg
core +1 more source
Near Convexity, Metric Convexity, and Convexity
Rocky Mountain Journal of Mathematics, 2007 Many aspects of convexity in a normed space, hidden by the classical use of the obscure principle of excluded middle, are only revealed by a constructive approach. This paper studies various types of convexity, introducing several new concepts; it uses methods proposed by \textit{E.\,A.\thinspace Bishop} in Chapter~1 of ``A Constructivist Manifesto ...
openaire +3 more sources
The Curve Shortening Flow in the Metric-Affine Plane
Mathematics, 2020 We investigated, for the first time, the curve shortening flow in the metric-affine plane and prove that under simple geometric condition (when the curvature of initial curve dominates the torsion term) it shrinks a closed convex curve to a “round point”
Vladimir Rovenski
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On a local version of Jack’s lemma
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2019 The purpose of this paper is to provide a result which concerns with the boundary behavior of analytic functions. It may be a local version of the well known Jack’s lemma when we change the function normalization at the origin.
Nunokawa Mamoru, Sokół Janusz
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Stochastic model-based minimization of weakly convex functions [PDF]
SIAM Journal on Optimization, 2018 We consider an algorithm that successively samples and minimizes stochastic models of the objective function. We show that under weak-convexity and Lipschitz conditions, the algorithm drives the expected norm of the gradient of the Moreau envelope to ...
Damek Davis, D. Drusvyatskiy
semanticscholar +1 more source