Abstract and Applied Analysis
- Abstr. Appl. Anal.
- Volume 2013, Special Issue (2013), Article ID 515902, 10 pages.
The Strong Convergence of Prediction-Correction and Relaxed Hybrid Steepest-Descent Method for Variational Inequalities
We establish the strong convergence of prediction-correction and relaxed hybrid steepest-descent method (PRH method) for variational inequalities under some suitable conditions that simplify the proof. And it is to be noted that the proof is different from the previous results and also is not similar to the previous results. More importantly, we design a set of practical numerical experiments. The results demonstrate that the PRH method under some descent directions is more slightly efficient than that of the modified and relaxed hybrid steepest-descent method, and the PRH Method under some new conditions is more efficient than that under some old conditions.
Abstr. Appl. Anal., Volume 2013, Special Issue (2013), Article ID 515902, 10 pages.
First available in Project Euclid: 26 February 2014
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Xu, Haiwen. The Strong Convergence of Prediction-Correction and Relaxed Hybrid Steepest-Descent Method for Variational Inequalities. Abstr. Appl. Anal. 2013, Special Issue (2013), Article ID 515902, 10 pages. doi:10.1155/2013/515902. https://projecteuclid.org/euclid.aaa/1393450486