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A scaled three-term conjugate gradient method for convex-constrained monotone nonlinear equations and application
Author(s) -
H. Abdullahi,
A. K. Awasthi,
Mohammed Yusuf Waziri,
Abubakar Sani Halilu
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2267/1/012066
Subject(s) - monotone polygon , nonlinear system , conjugate gradient method , mathematics , benchmark (surveying) , mathematical optimization , regular polygon , term (time) , nonlinear conjugate gradient method , convex optimization , gradient descent , property (philosophy) , gradient method , computer science , artificial intelligence , artificial neural network , philosophy , physics , geometry , geodesy , epistemology , quantum mechanics , geography

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