A new kind of conjugate gradient methods for unconstrained optimization

A new kind of conjugate gradient methods for unconstrained optimization

Conjugate gradient (CG) algorithms have been broadly applied to solve large-scale unconstrained optimization problems, because of its robustness, low memory requirement, and global convergence properties. Numerous studies and modifications have been carried out recently to improve these methods. In...

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Bibliographic Details
Main Author: Rabi'u Bashir Yunus (Author)
Corporate Author: Universiti Sultan Zainal Abidin . Faculty of Informatics & Computing
Format: Thesis Book
Language:English
Subjects:
Conjugate gradient methods-Data processing
Universiti Sultan Zainal Abidin > Dissertations
Universiti Sultan Zainal Abidin > Faculty of Informatics and Computing > Dissertations
Dissertations, Academic
Table of Contents:
  • 1. General introduction
  • 2. Mathematical review in optimization
  • 3. Unconstrained optimization methods
  • 4. New modification of CG methods
  • 5. Numerical results and discussion
  • 6. Conclusion

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