Open AccessA new non-linear conjugate gradient method based on the Dai-Liao and Kafaki-Ghanbari 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.2017.124947
Subject(s) - conjugate gradient method , derivation of the conjugate gradient method , conjugate residual method , nonlinear conjugate gradient method , descent (aeronautics) , gradient descent , gradient method , conjugate , biconjugate gradient method , mathematics , property (philosophy) , computer science , algorithm , line (geometry) , mathematical optimization , mathematical analysis , artificial intelligence , geometry , artificial neural network , physics , philosophy , epistemology , meteorology
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