A regularized gradient projection method for the minimization problem (Q410905)
From MaRDI portal
 | This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: A regularized gradient projection method for the minimization problem |
scientific article; zbMATH DE number 6021659
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | A regularized gradient projection method for the minimization problem |
scientific article; zbMATH DE number 6021659 |
Statements
A regularized gradient projection method for the minimization problem (English)
0 references
4 April 2012
0 references
Summary: We investigate the following regularized gradient projection algorithm \(x_{n+1} = P_C(I - \gamma_n(\nabla f + \alpha_n I))x_n, n \geq 0\). Under some different control conditions, we prove that this gradient projection algorithm strongly converges to the minimum norm solution of the minimization problem \(\min_{x \in C}f(x)\).
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
