The Jacobian consistency of a one-parametric class of smoothing functions for SOCCP
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Publication:2319316
DOI10.1155/2013/965931zbMath1470.90140OpenAlexW2153988445WikidataQ58917821 ScholiaQ58917821MaRDI QIDQ2319316
Xiaoni Chi, Zijun Hao, Zhong-Ping Wan
Publication date: 16 August 2019
Published in: Abstract and Applied Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2013/965931
Variational inequalities (49J40) Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming) (90C33)
Cites Work
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- Nonsingularity conditions for FB system of reformulating nonlinear second-order cone programming
- Analysis of nonsmooth vector-valued functions associated with second-order cones.
- A smoothing Newton method based on the generalized Fischer-Burmeister function for MCPs
- A one-parametric class of merit functions for the second-order cone complementarity problem
- Applications of second-order cone programming
- Second-order cone programming
- Interior point methods for second-order cone programming and OR applications
- Nonsingularity of FB system and constraint nondegeneracy in semidefinite programming
- A new look at smoothing Newton methods for nonlinear complementarity problems and box constrained variational inequalities
- Strong semismoothness of the Fischer-Burmeister SDC and SOC complementarity functions
- An unconstrained smooth minimization reformulation of the second-order cone complementarity problem
- Smoothing Functions for Second-Order-Cone Complementarity Problems
- Optimization and nonsmooth analysis
- Global and superlinear convergence of the smoothing Newton method and its application to general box constrained variational inequalities
- A Combined Smoothing and Regularization Method for Monotone Second-Order Cone Complementarity Problems
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