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A general technique for dealing with degeneracy in reduced gradient methods for linearly constrained nonlinear programming

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Publication:1327826
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DOI10.1007/BF02006262zbMath0802.90098OpenAlexW2005635773MaRDI QIDQ1327826

Xiao-Dong Hu, Ji-ye Han

Publication date: 12 December 1994

Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02006262

zbMATH Keywords

Kuhn-Tucker pointreduced gradient algorithms


Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30)




Cites Work

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  • A superlinearly convergent method to linearly constrained optimization problems under degeneracy
  • The generalized simplex method for minimizing a linear form under linear inequality restraints
  • Dealing with degeneracy in reduced gradient algorithms
  • Least-index resolution of degeneracy in quadratic programming
  • New Finite Pivoting Rules for the Simplex Method
  • The general quadratic optimization problem
  • A Technique for Resolving Degeneracy in Linear Programming
  • The Convex Simplex Method
  • Optimality and Degeneracy in Linear Programming
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