A Regularized Gradient Projection Method for the Minimization Problem
We investigate the following regularized gradient projection algorithm xn+1=Pc(I−γn(∇f+αnI))xn, n≥0. Under some different control conditions, we prove that this gradient projection algorithm strongly converges to the minimum norm solution of the minimization problem minx∈Cf(x).
| Main Authors: | , , , |
|---|---|
| 格式: | Article |
| 語言: | English |
| 出版: |
Wiley
2012-01-01
|
| 叢編: | Journal of Applied Mathematics |
| 在線閱讀: | http://dx.doi.org/10.1155/2012/259813 |