Three-terms conjugate gradient algorithm based on the Dai-Liao and the Powell symmetric methods | Zendy

Prof. Khalil K. Abbo | Zendy; Aynur J. Namik | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Three-terms conjugate gradient algorithm based on the Dai-Liao and the Powell symmetric methods

Author(s) -

Prof. Khalil K. Abbo,

Aynur J. Namik

Publication year - 2017

Publication title -

kirkuk university journal-scientific studies

Language(s) - English

Resource type - Journals

eISSN - 2616-6801

pISSN - 1992-0849

DOI - 10.32894/kujss.2017.124965

Subject(s) - conjugate gradient method , mathematics , convergence (economics) , conjugacy class , gradient descent , descent (aeronautics) , conjugate residual method , nonlinear conjugate gradient method , gradient method , term (time) , derivation of the conjugate gradient method , convex function , algorithm , scale (ratio) , regular polygon , function (biology) , mathematical optimization , computer science , pure mathematics , geometry , artificial intelligence , physics , quantum mechanics , evolutionary biology , meteorology , artificial neural network , economics , biology , economic growth

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research