On the performance of a new symmetric rank-one method with restart for solving unconstrained optimization problems

DOI10.1016/j.camwa.2012.06.017zbMath1268.90129OpenAlexW1974660304MaRDI QIDQ356122

Farzin Modarres Khiyabani, Wah June Leong

Publication date: 25 July 2013

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2012.06.017

zbMATH Keywords

unconstrained optimizationHessian approximationsymmetric rank-one update

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Numerical optimization and variational techniques (65K10) Methods of quasi-Newton type (90C53)

Related Items

Limited memory methods with improved symmetric rank-one updates and its applications on nonlinear image restoration

Uses Software

• CUTEr
• minpack
• CUTE

Cites Work

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• CUTE
• Eigenvalues and switching algorithms for Quasi-Newton updates
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• Variance algorithm for minimization
• Variable metric methods of minimisation
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