الملخص
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.
الكلمات المفتاحية
بيانات النشر
- المعرّف الرقمي
- 10.24200/squjs.vol12iss2pp199-209
- المجلة
- مجلة جامعة السلطان قابوس للعلوم, 12(2), 199
- الناشر
- جامعة السلطان قابوس
- وصول مفتوح
- وصول مفتوح ذهبي
- الترخيص
- CC BY 4.0
اقتبس هذه المقالة
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.
شيكاغو (المؤلف–التاريخ)
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.
هارفارد
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.
فانكوفر
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.