RESEARCHER PROFILE

Jein-Shan Chen

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J

National Taiwan Normal University

Optimization and Variational AnalysisAdvanced Optimization Algorithms ResearchContact Mechanics and Variational InequalitiesMathematical Inequalities and ApplicationsIterative Methods for Nonlinear Equations

Jein-Shan Chen works in Optimization and Variational Analysis, Advanced Optimization Algorithms Research, Contact Mechanics and Variational Inequalities, Mathematical Inequalities and Applications, Iterative Methods for Nonlinear Equations. Recorded institutional associations include National Taiwan Normal University.

157Publications
2,067Citations
25H-index

ORCID

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. An unconstrained smooth minimization reformulation of the second-order cone complementarity problem

    2005 · 172 citations

  2. Analysis of nonsmooth vector-valued functions associated with second-order cones

    2004 · 100 citations

  3. A family of NCP functions and a descent method for the nonlinear complementarity problem

    2007 · 98 citations

  4. A Damped Gauss-Newton Method for the Second-Order Cone Complementarity Problem

    2008 · 59 citations

  5. Two classes of merit functions for the second-order cone complementarity problem

    2006 · 56 citations

  6. Neural networks for solving second-order cone constrained variational inequality problem

    2010 · 56 citations

  7. The Semismooth-Related Properties of a Merit Function and a Descent Method for the Nonlinear Complementarity Problem

    2006 · 53 citations

  8. Numerical comparisons based on four smoothing functions for absolute value equation

    2016 · 52 citations

  9. A semismooth Newton method for SOCCPs based on a one-parametric class of SOC complementarity functions

    2008 · 51 citations

  10. A survey on SOC complementarity functions and solution methods for SOCPs and SOCCPs

    2012 · 50 citations

  11. A neural network based on the generalized Fischer–Burmeister function for nonlinear complementarity problems

    2009 · 49 citations

  12. ON SOME NCP-FUNCTIONS BASED ON THE GENERALIZED FISCHER–BURMEISTER FUNCTION

    2007 · 47 citations

  13. Properties of a family of generalized NCP-functions and a derivative free algorithm for complementarity problems

    2008 · 43 citations

  14. The convex and monotone functions associated with second-order cone

    2006 · 42 citations

  15. Recurrent neural networks for solving second-order cone programs

    2011 · 37 citations

  16. A one-parametric class of merit functions for the symmetric cone complementarity problem

    2009 · 36 citations

  17. Unified smoothing functions for absolute value equation associated with second-order cone

    2018 · 36 citations

  18. A proximal gradient descent method for the extended second-order cone linear complementarity problem

    2010 · 34 citations

  19. Properties of circular cone and spectral factorization associated with circular cone

    2013 · 33 citations

  20. A smoothing Newton method for absolute value equation associated with second-order cone

    2017 · 32 citations

  21. The Vector-Valued Functions Associated with Circular Cones

    2014 · 30 citations

  22. An R -linearly convergent derivative-free algorithm for nonlinear complementarity problems based on the generalized Fischer–Burmeister merit function

    2009 · 27 citations

  23. Circular cone convexity and some inequalities associated with circular cones

    2013 · 27 citations

  24. A one-parametric class of merit functions for the second-order cone complementarity problem

    2008 · 27 citations

  25. A smoothed NR neural network for solving nonlinear convex programs with second-order cone constraints

    2013 · 26 citations

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