Multi-directional parallel algorithms for unconstrained optimization

DOI10.1080/02331939608844242zbMath0868.90113OpenAlexW2113238702MaRDI QIDQ2785395

P. K. H. Phua

Publication date: 20 February 1997

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331939608844242

zbMATH Keywords

quasi-Newton methodsunconstrained nonlinear optimizationparallel optimization

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Parallel numerical computation (65Y05)

Related Items (1)

A symmetric rank-one method based on extra updating techniques for unconstrained optimization

Cites Work

• Concurrent function evaluations in local and global optimization
• State-of-the-art in parallel nonlinear optimization
• Parallel quasi-Newton methods for unconstrained optimization
• A Note on Minimization Algorithms which make Use of Non-quardratic Properties of the Objective Function
• A Modified BFGS Algorithm for Unconstrained Optimization
• Parallel variable metric algorithms for unconstrained optimization
• Testing Unconstrained Optimization Software
• Self-Scaling Variable Metric (SSVM) Algorithms
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