id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ma-294	Dung, Nguyen Dinh	Numerical Results for Gauss-Seidel Iterative Algorithm Based on Newton Methods for Unconstrained Optimization Problems	2025	11	.pdf	application/pdf	3254	198	58	So, in this paper, we propose Gauss – Seidel algorithmsimplemented for the Newton and quasi-Newton method for finding solutions at each iterationstep, in which we inherit the information of the component solutions calculated in the current https://doi.org/10.28924/ada/ma.5.9 Eur. The calculation results show thatthe quasi-Newton method has the advantage of not requiring a quadratic differentiable objectivefunction, but the convergence is quite slow compared to the Newton method.	cache/ma-294.pdf	txt/ma-294.txt