A Descent Modification of Conjugate Gradient Method for Optimization Models

Autor:	Kamilu Kamfa, Ibrahim Mohammed Sulaiman, Mustafa Mamat, Muktar Danlami
Rok vydání:	2020
Předmět:	0209 industrial biotechnology General Computer Science Computer science 020208 electrical & electronic engineering MathematicsofComputing_NUMERICALANALYSIS 02 engineering and technology General Chemistry Unconstrained optimization General Biochemistry Genetics and Molecular Biology 020901 industrial engineering & automation Conjugate gradient method 0202 electrical engineering electronic engineering information engineering Benchmark (computing) Applied mathematics Minification Descent (mathematics)
Zdroj:	Iraqi Journal of Science. :1745-1750
ISSN:	2312-1637 0067-2904
DOI:	10.24996/ijs.2020.61.7.23
Popis:	In this paper, we suggest a descent modification of the conjugate gradient method which converges globally provided that the exact minimization condition is satisfied. Preliminary numerical experiments on some benchmark problems show that the method is efficient and promising.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3b50b588458ebfd5f60a640bfb8fccc6 https://doi.org/10.24996/ijs.2020.61.7.23 Zobrazit plný text záznamu