The generalized conditional gradient method for composite multiobjective optimization problems on Riemannian manifolds

DOI10.23952/jnva.7.2023.5.10OpenAlexW4387260731MaRDI QIDQ6085820

Kai Tu, Xiaochun Ge, Xiao-bo Li

Publication date: 12 December 2023

Published in: Journal of Nonlinear and Variational Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.23952/jnva.7.2023.5.10

zbMATH Keywords

global convergenceiteration-complexity boundcomposite multiobjective optimisation problemsgeneralised conditional gradient method

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A generalized conditional gradient method and its connection to an iterative shrinkage method
• A conditional gradient method with linear rate of convergence for solving convex linear systems
• Conditional gradient method for multiobjective optimization
• A nonmonotone trust region method for unconstrained optimization problems on Riemannian manifolds
• Nonmonotone line searches for unconstrained multiobjective optimization problems
• Non-convex multi-objective optimization
• Proximal gradient methods for multiobjective optimization and their applications
• Optimization Methods on Riemannian Manifolds and Their Application to Shape Space
• A Broyden Class of Quasi-Newton Methods for Riemannian Optimization
• Inertial forward–backward methods for solving vector optimization problems
• An Adaptive Scalarization Method in Multiobjective Optimization
• A Nonmonotone Line Search Technique and Its Application to Unconstrained Optimization

This page was built for publication: The generalized conditional gradient method for composite multiobjective optimization problems on Riemannian manifolds