On the Frank–Wolfe algorithm for non-compact constrained optimization problems

DOI10.1080/02331934.2020.1860980zbMath1486.90185arXiv2101.08830OpenAlexW3118425127MaRDI QIDQ5034936

Unnamed Author, Orizon P. Ferreira

Publication date: 21 February 2022

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2101.08830

zbMATH Keywords

Frank-Wolfe methodconstrained optimization problemnon-compact constraint

Mathematics Subject Classification ID

Nonlinear programming (90C30)

Cites Work

• Conditional gradient algorithms for norm-regularized smooth convex optimization
• Conditional gradient type methods for composite nonlinear and stochastic optimization
• A conditional gradient method with linear rate of convergence for solving convex linear systems
• Conditional Gradient Sliding for Convex Optimization
• An Extended Frank--Wolfe Method with “In-Face” Directions, and Its Application to Low-Rank Matrix Completion
• First-Order Methods in Optimization
• Simplified versions of the conditional gradient method
• Conditional Gradient Algorithmsfor Rank-One Matrix Approximations with a Sparsity Constraint
• The Alternating Descent Conditional Gradient Method for Sparse Inverse Problems
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: On the Frank–Wolfe algorithm for non-compact constrained optimization problems