Reformulation : nonsmooth, piecewise smooth, semismooth and smoothing methods

摘要: Preface. Solving Complementarity Problems by Means of a New Smooth Constrained Nonlinear Solver R. Andreani, J.M. Martinez.epsiv -Enlargements Maximal Monotone Operators: Theory and Applications R.S. Burachik, et al. A Non-Interior Predictor Corrector Path-Following Method for LCP J.V. Burke, S. Xu.Smoothing Newton Methods Nonsmooth Dirichlet X. Chen, etal. Frictional Contact Algorithms Based on Semismooth P.W. Christensen, J.-S. Pang. Well-Posed Error Bounds in Optimization Deng. Modeling Solution Environments MPEC: GAMS & MATLAB S.P. Dirkse, M.C. Ferris. Merit Functions Stability A. Fischer. Minimax Triality Variational D.Y. Gao. Global Local Superlinear Convergence Analysis Newton-Type Equations with Least Squares H. Jiang, D. Ralph.Inexact Trust-Region C.Kanzow, M. Zupke. Regularized Minimization Convex Quadratic Splines Singular Hessians W. Li, J. Swetits.Regularized Linear Programs Equilibrium Constraints L.L.Mangasarian. Reformulations Bicriterion Model P.Marcotte. Smoothing Function Its J.-M. Peng.On the Super-Linear Matrix Secant Implementation Variable Metric Proximal Point Algorithm Operators M.Qian, Burke. Reformulation Problem Economic A.M. Rubinov, B.M. Glover. Globally Convergent Inexact NewtonMethod Systems M.V. Solodov, B.F.Svaiter. On Limiting Behavior Trajectory RegularizedSolutions P0 -Complementarity Sznajder, M.S.Gowda. Continuation Chen-Mangasarian P.Tseng. Descent Semidefinite N. Yamashita, Fukushima. Numerical Experiments Class Squared Box Inequality G. Zhou,