A generalized projection-successive linear equations algorithm for nonlinearly equality and inequality constrained optimization and its rate of convergence

DOI10.1007/s11766-997-0035-6zbMath0888.90133OpenAlexW2330307389MaRDI QIDQ1370303

Jin-Bao Jian

Publication date: 25 May 1998

Published in: Applied Mathematics. Series B (English Edition) (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11766-997-0035-6

zbMATH Keywords

nonlinear equality and inequality constraintssuperlinearly convergent algorithm

Mathematics Subject Classification ID

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

Related Items (4)

A fast convergent sequential linear equation method for inequality constrained optimization without strict complementarity ⋮ An SQP feasible descent algorithm for nonlinear inequality constrained optimization without strict complementarity ⋮ A new feasible descent algorithm combining SQP with generalized projection for optimization problems without strict complementarity ⋮ A superlinearly convergent implicit smooth SQP algorithm for mathematical programs with nonlinear complementarity constraints

Cites Work

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• A superlinearly convergent algorithm of the sequential systems of linear equations for nonlinear optimization problems
• A successive quadratic programming algorithm with global and superlinear convergence properties
• A Superlinearly Convergent Feasible Method for the Solution of Inequality Constrained Optimization Problems
• A surperlinearly convergent algorithm for constrained optimization problems
• Superlinearly convergent quasi-newton algorithms for nonlinearly constrained optimization problems

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