DocumentCode
2820801
Title
A Two-Stage Step Size Rule on Improved Prediction-Correction Method for Monotone Nonlinear Variational Inequalities
Author
Shao, Hu ; Wang, Guodong
Author_Institution
Sch. of Sci., China Univ. of Min. & Technol., Xuzhou, China
Volume
2
fYear
2009
fDate
24-26 April 2009
Firstpage
137
Lastpage
139
Abstract
This paper proposes a two-stage step size rule for monotone nonlinear variational inequality (VI) problems to further extend the improved prediction-correction (PC) method. The improved PC method is one of the most popular methods for solving the monotone VI problem due to its simplicity and efficiency. To obtain a more exact and efficient step size in the proved PC method, the step size is calculated by two stages. The first stage is the prediction stage, in which the original step size rule in improved PC method is adopted. The second stage is the correction stage, in which the result in the prediction stage is used to achieve a more exact step size. The deduction of the two-stage step size rule is given. Numerical examples indicate that the improved PC method with the two-stage step size rule can save the CPU time compared with that without the two-stage step size rule.
Keywords
convergence of numerical methods; nonlinear programming; variational techniques; PC method; convergence property; monotone VI problem; monotone nonlinear variational inequality; prediction-correction method; two-stage step size rule; Convergence; Economic forecasting; Equations; Helium; Mathematical model; Mathematics; Optimization methods; Traffic control; Transportation; Prediction-Correction Method; Step Size Rule; Variational Inequalities;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location
Sanya, Hainan
Print_ISBN
978-0-7695-3605-7
Type
conf
DOI
10.1109/CSO.2009.56
Filename
5193915
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