New Hybrid Conjugate Gradient Method as a Convex Combination of Liu-Storey and Dixon Methods

Khalil ABBO; Nehal HAMEED

Makale detayları

New Hybrid Conjugate Gradient Method as a Convex Combination of Liu-Storey and Dixon Methods

Yazarlar:

Khalil ABBO | Nehal HAMEED

Yayıncı:

Ahmet ŞAHİNER

Ana Başlıklar:

Matematik

Dergi:

Journal of Multidisciplinary Modeling and Optimization 2018 Vol.1 Issue 2, pp.91-99

Belge Tipi:

Makale

Yayın Tarihi:

1/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000743147

Sıklık:

İki Yıllık

eISSN:

2645-923X

Özet:

 


In this paper we consider a new
hybrid conjugate gradient algorithm, which is convex combination of the
Liu-Story algorithm and Dixon algorithm, the descent property and global
convergence are proved for the new suggested method. Numerical comparisons show
that the present method often behaves better than Liu-Storey and Dixon methods. 


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Makale detayları

New Hybrid Conjugate Gradient Method as a Convex Combination of Liu-Storey and Dixon Methods

Yazarlar: Khalil ABBO | Nehal HAMEED

Yayıncı: Ahmet ŞAHİNER

Ana Başlıklar: Matematik

Dergi: Journal of Multidisciplinary Modeling and Optimization 2018 Vol.1 Issue 2, pp.91-99

Belge Tipi: Makale

Yayın Tarihi: 1/2019

Belge Dili: İngilizce

Document ID (Org No.): 2000743147

Sıklık: İki Yıllık

eISSN: 2645-923X

Sayı

Yazarlar:

Khalil ABBO | Nehal HAMEED

Yayıncı:

Ahmet ŞAHİNER

Ana Başlıklar:

Matematik

Dergi:

Journal of Multidisciplinary Modeling and Optimization 2018 Vol.1 Issue 2, pp.91-99

Belge Tipi:

Makale

Yayın Tarihi:

1/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000743147

Sıklık:

İki Yıllık

eISSN:

2645-923X