Pages that link to "Item:Q2673524"

The following pages link to The exact worst-case convergence rate of the gradient method with fixed step lengths for \(L\)-smooth functions (Q2673524):

Displaying 8 items.

• On the worst-case complexity of the gradient method with exact line search for smooth strongly convex functions (Q1679617) (← links)
• A note on the optimal convergence rate of descent methods with fixed step sizes for smooth strongly convex functions (Q2671453) (← links)
• Conditions for linear convergence of the gradient method for non-convex optimization (Q6097482) (← links)
• Heterogeneous Mediation Analysis on Epigenomic PTSD and Traumatic Stress in a Predominantly African American Cohort (Q6110691) (← links)
• Branch-and-bound performance estimation programming: a unified methodology for constructing optimal optimization methods (Q6120850) (← links)
• Conic linear optimization for computer-assisted proofs. Abstracts from the workshop held April 10--16, 2022 (Q6170529) (← links)
• On the rate of convergence of the difference-of-convex algorithm (DCA) (Q6596346) (← links)
• PEPIT: computer-assisted worst-case analyses of first-order optimization methods in python (Q6645946) (← links)