A Kind of Stochastic Eigenvalue Complementarity Problems
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-20
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
With the development of computer science, computational electromagnetics have also been widely used.
Electromagnetic phenomena are closely related to eigenvalue problems.
On the other hand, in order to solve the uncertainty of input data, the stochastic eigenvalue complementarity problem, which is a general formulation for the eigenvalue complementarity problem, has aroused interest in research.
So, in this paper, we propose a new kind of stochastic eigenvalue complementarity problem.
We reformulate the given stochastic eigenvalue complementarity problem as a system of nonsmooth equations with nonnegative constraints.
Then, a projected smoothing Newton method is presented to solve it.
The global and local convergence properties of the given method for solving the proposed stochastic eigenvalue complementarity problem are also given.
Finally, the related numerical results show that the proposed method is efficient.
American Psychological Association (APA)
Wang, Ying-xiao& Du, Shouqiang. 2018. A Kind of Stochastic Eigenvalue Complementarity Problems. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1208850
Modern Language Association (MLA)
Wang, Ying-xiao& Du, Shouqiang. A Kind of Stochastic Eigenvalue Complementarity Problems. Mathematical Problems in Engineering No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1208850
American Medical Association (AMA)
Wang, Ying-xiao& Du, Shouqiang. A Kind of Stochastic Eigenvalue Complementarity Problems. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1208850
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208850