Two iterative processes generated by regular vector fields in Banach spaces

DOI10.1080/02331934.2020.1865348zbMath1493.90134OpenAlexW3116991072MaRDI QIDQ5077153

Zaslavski, Alexander J., Simeon Reich

Publication date: 18 May 2022

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331934.2020.1865348

zbMATH Keywords

convex functioncomplete metric spaceBanach spaceiterative processdescent method

Mathematics Subject Classification ID

Convex programming (90C25) Nonlinear programming (90C30) Convexity of real functions of several variables, generalizations (26B25)

Cites Work

• Unnamed Item
• Unnamed Item
• Numerical optimization with computational errors
• Optimization on metric and normed spaces
• A generalized projection-based scheme for solving convex constrained optimization problems
• A method of projection onto an acute cone with level control in convex minimization
• Regular vector-fields in Banach spaces
• Genericity in nonlinear analysis
• The Set of Divergent Descent Methods in a Banach Space is \boldmath$\sigma$\unboldmath-Porous
• Generic Convergence of Descent Methods in Banach Spaces
• On Convergence Rates of Linearized Proximal Algorithms for Convex Composite Optimization with Applications
• Exterior Distance Function
• On Convergence Properties of a Subgradient Method
• Descent methods with computational errors in Banach spaces
• A variational approach to stochastic minimization of convex functionals
• On Lagrange multipliers in convex entropy minimization
• Vector duality for convex vector optimization problems by means of the quasi-interior of the ordering cone
• The method of steepest descent for non-linear minimization problems

This page was built for publication: Two iterative processes generated by regular vector fields in Banach spaces