Auxiliary Principle and Iterative Algorithms for Generalized Set-Valued Strongly Nonlinear Mixed Variational-like Inequalities☆

By Nan-Jing Huang, Chuanxian Deng. 2001

93 citations recorded by the source corpus.

In this paper, we extend the auxiliary principle technique to study a class of generalized set-valued strongly nonlinear mixed variational-like inequalities. We prove the existence of a solution of the auxiliary problem for the generalized set-valued strongly nonlinear mixed variational-like inequalities, construct the iterative algorithm for the generalized set-valued strongly nonlinear mixed variational-like inequalities, and show the existence of a solution of the generalized set-valued strongly nonlinear mixed variational-like inequality by using the auxiliary principle technique. We also prove the convergence of iterative sequences generated by the algorithm.

Subfields: Computational Theory and Mathematics, Geometry and Topology

View Paper: https://www.semanticscholar.org/paper/60dad1f569a0492abb8f744e88208c036b598377

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In Computational Theory and Mathematics

  1. Muhammad Aslam Noor
  2. Yaping Fang
  3. Nan-Jing Huang
  4. Khalida Inayat Noor
  5. Yonghong Yao
  6. Abdul Rahim Khan
  7. Hafiz Fukhar-ud-din
  8. A. Domlo

In Geometry and Topology

  1. Muhammad Aslam Noor
  2. Yaping Fang
  3. Nan-Jing Huang
  4. Yeong-Cheng Liou
  5. Yonghong Yao

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