Neural networks for solving second-order cone programs based on complementarity functions

研究成果: 雜誌貢獻期刊論文同行評審

摘要

This paper surveys two neural networks for solving nonlinear convex programs with the second-order cone constraints. The neural network models are designed based on two different C-functions associated with a second-order cone. Various stabilities along with the neural networks are presented. Numerical comparisons are also reported.

原文英語
頁(從 - 到)1621-1641
頁數21
期刊Journal of Nonlinear and Convex Analysis
19
發行號10
出版狀態已發佈 - 2018 一月 1

ASJC Scopus subject areas

  • Analysis
  • Geometry and Topology
  • Control and Optimization
  • Applied Mathematics

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