F Mezzadri - Numerical Algorithms, 2022 - Springer
We introduce a modulus-based formulation for vertical linear complementarity problems (VLCPs) with an arbitrary number ℓ of matrices. This formulation can be used to set up a …
F Mezzadri, E Galligani - Journal of Optimization Theory and Applications, 2022 - Springer
In this paper, we generalize the projected Jacobi and the projected Gauss–Seidel methods to vertical linear complementarity problems (VLCPs) characterized by matrices with positive …
H Zheng, S Vong - Numerical Algorithms, 2021 - Springer
In this paper, for solving horizontal linear complementarity problems, a two-step modulus- based matrix splitting iteration method is established. The convergence analysis of the …
In this paper we consider a general algorithmic framework for solving nonlinear mixed complementarity problems. The main features of this framework are:(a) it is well-defined for …
H Zheng, Y Zhang, X Lu, S Vong - Numerical Algorithms, 2023 - Springer
In this paper, for solving large sparse vertical linear complementarity problems, the modulus- based synchronous multisplitting iteration method is established. Convergence theorems of …
This paper considers the balanced form of the standard linear complementarity problem with unique solution and provides a more precise expression of an upper error bound discovered …
In this paper, first we propose a general modulus-based matrix splitting iteration method for solving horizontal linear complementarity problems. In order to improve the computing …
Complementarity problems arise in a wide variety of disciplines. Prototypical examples include the Wardropian and Walrasian equilibrium models encountered in the engineering …
XH Shao, Z Wang - Numerical Algorithms, 2024 - Springer
In this paper, we establish a modulus-based nonsmooth Newton's method for solving a class of horizontal nonlinear complementarity problems and prove the nearly quadratic …