New Hybrid quasi-newton methods for solving unconstrained optimization problems

New Hybrid quasi-newton methods for solving unconstrained optimization problems

Quasi Newton (QN) method is one of the commonly used tools in solving unconstrained optimization problems. One of the main advantages of QN method is its superlinear convergence rate which is very fast. However, this method often yields high number of CPU time when used for solving large scale...

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Bibliographic Details
Main Author: Wan Farah Hanan Wan Osman (Author)
Corporate Author: Universiti Sultan Zainal Abidin . Faculty of Informatics and Computing
Format: Thesis Book
Language:English
Subjects:
Universiti Sultan Zainal Abidin > Faculty of Informatics and Computing > Dissertations
Automatic control
Dissertations, Academic
System analysis
Table of Contents:
  • 1. Introduction research
  • 2. The elementary concept of optimization
  • 3. Numerical performance
  • 4. New modification of cg method
  • 5. The new hybrid qn methods
  • 6. Application in multivariate linear regression
  • 7. Conclussion and suggestion

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