A class of trust region methods for linear inequality constrained optimization and its theory analysis. II: Local convergence rate and numerical tests

DOI10.1007/BF02662499zbMath0852.90121MaRDI QIDQ1908606

Nai-Hua Xiu

Publication date: 1 December 1996

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

Mathematics Subject Classification ID

Nonlinear programming (90C30)

Related Items (1)

A class of trust region methods for linear inequality constrained optimization and its theory analysis. I: Algorithm and global convergence

Cites Work

• A super-linear convergent gradient projection type algorithm for linearly constrained problems
• A class of trust region methods for linear inequality constrained optimization and its theory analysis. I: Algorithm and global convergence
• An analysis of reduced Hessian methods for constrained optimization
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