On a global projection-type error bound for the linear complementarity problem

Global Error Bound Estimation for the Generalized Nonlinear Complementarity Problem over a Closed Convex Cone

The global error bound estimation for the generalized nonlinear complementarity problem over a closed convex cone GNCP is considered. To obtain a global error bound for the GNCP, we first develop an equivalent reformulation of the problem. Based on this, a global error bound for the GNCP is established. The results obtained in this paper can be taken as an extension of previously known results.

The Solution Set Characterization and Error Bound for the Extended Mixed Linear Complementarity Problem

New improved error bounds for the linear complementarity problem

New local and global error bounds are given for both nonmonotone and monotone linear complementarity problems. Comparisons of various residuals used in these error bounds are given. A possible candidate for a "best" error bound emerges from our comparisons as the sum of two natural residuals.

A Quadratically Convergent Interior-Point Algorithm for the P*(κ)-Matrix Horizontal Linear Complementarity Problem

In this paper, we present a new path-following interior-point algorithm for -horizontal linear complementarity problems (HLCPs). The algorithm uses only full-Newton steps which has the advantage that no line searchs are needed. Moreover, we obtain the currently best known iteration bound for the algorithm with small-update method, namely, , which is as good as the linear analogue.

A global error bound for quadratic perturbation of linear programs