More results in the convergence of iterative methods for the symetric linear complementarity problem
Journal of Optimization Theory and Applications
Inexact Newton methods for the nonlinear complementarity problem
Mathematical Programming: Series A and B
Error bounds for monotone linear complementarity problems
Mathematical Programming: Series A and B
Lipschitz continuity of solutions of linear inequalities, programs and complementarity problems
SIAM Journal on Control and Optimization
Error bounds for nondegenerate monotone linear complementarity problems
Mathematical Programming: Series A and B
On the linear convergence of descent methods for convex essentially smooth minimization
SIAM Journal on Control and Optimization
On the convergence of the coordinate descent method for convex differentiable minimization
Journal of Optimization Theory and Applications
Weak sharp minima in mathematical programming
SIAM Journal on Control and Optimization
On the convergence rate of dual ascent methods for linearly constrained convex minimization
Mathematics of Operations Research
New error bounds for the linear complementarity problem
Mathematics of Operations Research
New improved error bounds for the linear complementarity problem
Mathematical Programming: Series A and B
Linearly convergent descent methods for the unconstrained minimization of convex quadratic splines
Journal of Optimization Theory and Applications
On a global error bound for a class of monotone affine variational inequality problems
Operations Research Letters
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For any system of linear inequalities, consistent or not, the norm of the violations of the inequalities by a given point, multiplied by a condition constant that is independent of the point, bounds the distance between the point and the nonempty set of points that minimize these violations. Similarly, for a dual pair of possibly infeasible linear programs, the norm of violations of primal-dual feasibility and primal-dual objective equality, when multiplied by a condition constant, bounds the distance between a given point and the nonempty set of minimizers of these violations. These results extend error bounds for consistent linear inequalities and linear programs to inconsistent systems.