eigenvalue complementarity problem
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2020 ◽  
Vol 77 (3) ◽  
pp. 711-728
Author(s):  
Masao Fukushima ◽  
Joaquim Júdice ◽  
Welington de Oliveira ◽  
Valentina Sessa




Author(s):  
Joaquim J. Júdice ◽  
Masao Fukushima ◽  
Alfredo Iusem ◽  
J. M. Martinez ◽  
Valentina Sessa


2019 ◽  
Vol 353 ◽  
pp. 95-113 ◽  
Author(s):  
Yi-Shuai Niu ◽  
Joaquim Júdice ◽  
Hoai An Le Thi ◽  
Dinh Tao Pham


2018 ◽  
Vol 34 (6) ◽  
pp. 1184-1212 ◽  
Author(s):  
Alfredo N. Iusem ◽  
Joaquim J. Júdice ◽  
Valentina Sessa ◽  
Paula Sarabando


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.



2017 ◽  
Vol 294 ◽  
pp. 36-48 ◽  
Author(s):  
Carmo P. Brás ◽  
Andreas Fischer ◽  
Joaquim J. Júdice ◽  
Klaus Schönefeld ◽  
Sarah Seifert




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