Newton's method for B-differentiable equations
Mathematics of Operations Research
Newton's method for the nonlinear complementarity problem: a B-differentiable equation problem
Mathematical Programming: Series A and B
Globally convergent Newton methods for nonsmooth equations
Mathematics of Operations Research
Normal maps inducted by linear transformations
Mathematics of Operations Research
NE/SQP: a robust algorithm for the nonlinear complementarity problem
Mathematical Programming: Series A and B
Global convergence of damped Newton's method for nonsmooth equations via the path search
Mathematics of Operations Research
A nonsmooth Newton method for variational inequalities, I: theory
Mathematical Programming: Series A and B
A nonsmooth Newton method for variational inequalities, II: numerical results
Mathematical Programming: Series A and B
A class of smoothing functions for nonlinear and mixed complementarity problems
Computational Optimization and Applications
On the resolution of monotone complementarity problems
Computational Optimization and Applications
Algorithms for complementarity problems and generalized equations
Algorithms for complementarity problems and generalized equations
A semismooth equation approach to the solution of nonlinear complementarity problems
Mathematical Programming: Series A and B
QPCOMP: a quadratic programming based solver for mixed complementarity problems
Mathematical Programming: Series A and B - Special issue on computational nonsmooth optimization
A New Merit Function For Nonlinear Complementarity Problems And A Related Algorithm
SIAM Journal on Optimization
Interfaces to PATH 3.0: Design, Implementation and Usage
Computational Optimization and Applications - Special issue on computational optimization—a tribute to Olvi Mangasarian, part I
Computational Optimization and Applications - Special issue on computational optimization—a tribute to Olvi Mangasarian, part II
A Smoothing Newton Method for General Nonlinear Complementarity Problems
Computational Optimization and Applications
Computational Optimization and Applications
Quadratic one-step smoothing Newton method for P0-LCP without strict complementarity
Applied Mathematics and Computation
Applications of smoothing methods in numerical analysis and optimization
Focus on computational neurobiology
The Hertz contact problem, coupled Volterra integral equations and a linear complementarity problem
Journal of Computational and Applied Mathematics
A family of NCP functions and a descent method for the nonlinear complementarity problem
Computational Optimization and Applications
Journal of Computational and Applied Mathematics
An experimental study of different approaches to solve the market equilibrium problem
Journal of Experimental Algorithmics (JEA)
A nonmonotone smoothing Newton algorithm for solving nonlinear complementarity problems
Optimization Methods & Software
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
Numerical comparisons of two effective methods for mixed complementarity problems
Journal of Computational and Applied Mathematics
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
A non-interior continuation algorithm for the CP based on a generalized smoothing function
Journal of Computational and Applied Mathematics
A new class of penalized NCP-functions and its properties
Computational Optimization and Applications
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This paper provides a means for comparing various computercodes for solving large scale mixed complementarity problems. Wediscuss inadequacies in how solvers are currently compared, andpresent a testing environment that addresses these inadequacies. Thistesting environment consists of a library of test problems, along withGAMS and MATLAB interfaces that allow these problems to be easilyaccessed. The environment is intended for use as a tool byother researchers to better understand both their algorithms and theirimplementations, and to direct research toward problem classes thatare currently the most challenging. As an initial benchmark, eightdifferent algorithm implementations for large scale mixedcomplementarity problems are briefly described and tested with defaultparameter settings using the new testing environment.