Hessian Riemannian Gradient Flows in Convex Programming
DOI10.1137/S0363012902419977zbMath1077.34050arXiv1811.10331OpenAlexW3103305945WikidataQ115246809 ScholiaQ115246809MaRDI QIDQ4652545
Olivier Brahic, Felipe Alvarez, Jérôme Bolte
Publication date: 28 February 2005
Published in: SIAM Journal on Control and Optimization (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1811.10331
global convergenceexistencegradient flowLyapunov functionalBregman distanceLegendre transform coordinatesconvex and linear programmingHessian Riemannian metricLagrange and Hamilton equationsLegendre-type convex functionquasi-convex minimization
Convex programming (90C25) Initial value problems, existence, uniqueness, continuous dependence and continuation of solutions to ordinary differential equations (34A12) Asymptotic properties of solutions to ordinary differential equations (34D05) Ordinary differential equations and systems on manifolds (34C40)
Related Items
This page was built for publication: Hessian Riemannian Gradient Flows in Convex Programming