Power iteration and inverse power iteration for eigenvalue complementarity problem

2019 ◽  
Vol 26 (4) ◽  
Author(s):  
Fatemeh Abdi ◽  
Fatemeh Shakeri
2009 ◽  
Vol 24 (4-5) ◽  
pp. 549-568 ◽  
Author(s):  
Joaquim J. Júdice ◽  
Hanif D. Sherali ◽  
Isabel M. Ribeiro ◽  
Silvério S. Rosa

2007 ◽  
Vol 37 (2) ◽  
pp. 139-156 ◽  
Author(s):  
Joaquim J. Júdice ◽  
Hanif D. Sherali ◽  
Isabel M. Ribeiro

2016 ◽  
Vol 19 (2) ◽  
pp. 805-812
Author(s):  
Yue Wei ◽  
Hao Fang ◽  
Jie Chen ◽  
Bin Xin

2015 ◽  
Vol 271 ◽  
pp. 594-608 ◽  
Author(s):  
Carmo P. Brás ◽  
Masao Fukushima ◽  
Alfredo N. Iusem ◽  
Joaquim J. Júdice

2015 ◽  
Vol 72 (3) ◽  
pp. 721-747 ◽  
Author(s):  
Alfredo N. Iusem ◽  
Joaquim J. Júdice ◽  
Valentina Sessa ◽  
Hanif D. Sherali

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Ying-xiao Wang ◽  
Shou-qiang Du

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.


2013 ◽  
Vol 29 (4) ◽  
pp. 751-770 ◽  
Author(s):  
Luís M. Fernandes ◽  
Joaquim J. Júdice ◽  
Masao Fukushima ◽  
Alfredo Iusem

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