In this paper, we present a self-adaptive projection and contraction (SAPC) method for solving symmetric linear variational inequalities. Preliminary numerical tests show that the proposed method is efficient and effective and depends only slightly on its initial parameter. The global convergence of the new method is also addressed.
Scopus Subject Areas
- Modelling and Simulation
- Computational Theory and Mathematics
- Computational Mathematics
- Projection and contraction method
- Self-adaptive rule
- Symmetric linear variational inequalities