A modified feasible semi-smooth asymptotically Newton method for nonlinear complementarity problems

DOI10.1186/s13660-016-1174-1zbMath1346.90781OpenAlexW2522282592WikidataQ59466318 ScholiaQ59466318MaRDI QIDQ311331

Baoguo Chen, Shaojun Pan, Chang-Feng Ma

Publication date: 29 September 2016

Published in: Journal of Inequalities and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/s13660-016-1174-1

zbMATH Keywords

global convergencecomplementarity problemssuperlinear convergenceasymptotically Newton method

Mathematics Subject Classification ID

Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming) (90C33)

Cites Work

• A new smoothing and regularization Newton method for \(P_{0}\)-NCP
• A regularization semismooth Newton method based on the generalized Fischer-Burmeister function for \(P_0\)-NCPs
• A feasible semismooth asymptotically Newton method for mixed complementarity problems
• The global linear convergence of an infeasible non-interior path-following algorithm for complementarity problems with uniform \(P\)-functions
• Feasible descent algorithms for mixed complementarity problems
• A nonsmooth version of Newton's method
• A New Nonsmooth Equations Approach to Nonlinear Complementarity Problems
• Optimization and nonsmooth analysis
• Computational complexity of LCPs associated with positive definite symmetric matrices
• Semismooth and Semiconvex Functions in Constrained Optimization
• Finite-Dimensional Variational Inequalities and Complementarity Problems
• Global Convergence Properties of Some Iterative Methods for Linear Complementarity Problems
• Strictly feasible equation-based methods for mixed complementarity problems

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