Abstract
Quasi-Newton methods are among the most practical and efficient iterative methods for solving unconstrained minimization problems. In this paper we give an overview of some of these methods with focus primarily on the Hessian approximation updates and modifications aimed at improving their performance.
Keywords
Publication details
- DOI
- 10.24200/squjs.vol12iss2pp199-209
- Journal
- Sultan Qaboos University Journal for Science, 12(2), 199
- Publisher
- Sultan Qaboos University
- Open access
- Gold open access
- License
- CC BY 4.0
Cite this article
APA 7
Al-Baali, M., & Khalfan, H. (2007). An Overview of Some Practical Quasi-Newton Methods for Unconstrained Optimization. Sultan Qaboos University Journal for Science, 12(2), 199. https://doi.org/10.24200/squjs.vol12iss2pp199-209
MLA 9
Al-Baali, M., and Humaid Khalfan. "An Overview of Some Practical Quasi-Newton Methods for Unconstrained Optimization." Sultan Qaboos University Journal for Science, vol. 12, no. 2, 2007, pp. 199. https://doi.org/10.24200/squjs.vol12iss2pp199-209.
Chicago (author–date)
Al-Baali, M., and Humaid Khalfan. 2007. "An Overview of Some Practical Quasi-Newton Methods for Unconstrained Optimization." Sultan Qaboos University Journal for Science 12 (2): 199. https://doi.org/10.24200/squjs.vol12iss2pp199-209.
Harvard
Al-Baali, M. and Khalfan, H. (2007) 'An Overview of Some Practical Quasi-Newton Methods for Unconstrained Optimization', Sultan Qaboos University Journal for Science, 12(2), pp. 199. doi:10.24200/squjs.vol12iss2pp199-209.
Vancouver
Al-Baali M, Khalfan H. An Overview of Some Practical Quasi-Newton Methods for Unconstrained Optimization. Sultan Qaboos University Journal for Science. 2007;12(2):199. doi:10.24200/squjs.vol12iss2pp199-209
IEEE
M. Al-Baali, and H. Khalfan, "An Overview of Some Practical Quasi-Newton Methods for Unconstrained Optimization," Sultan Qaboos University Journal for Science, vol. 12, no. 2, pp. 199, 2007, doi: 10.24200/squjs.vol12iss2pp199-209.