In this work, we have created the four families of memory methods by convergence rates of three, six, twelve, and twenty-four. Every member of the proposed class has a self-accelerator parameter. And, it has approximated by using Newton’s interpolating polynomials. The new iterative with memory methods have a 50% improvement in the order of convergence.
Torkashvand, V. (2021). A general class of one-parametric with memory method for solving nonlinear equations. Caspian Journal of Mathematical Sciences, 10(2), 309-335. doi: 10.22080/cjms.2021.18643.1482
MLA
Vali Torkashvand. "A general class of one-parametric with memory method for solving nonlinear equations", Caspian Journal of Mathematical Sciences, 10, 2, 2021, 309-335. doi: 10.22080/cjms.2021.18643.1482
HARVARD
Torkashvand, V. (2021). 'A general class of one-parametric with memory method for solving nonlinear equations', Caspian Journal of Mathematical Sciences, 10(2), pp. 309-335. doi: 10.22080/cjms.2021.18643.1482
VANCOUVER
Torkashvand, V. A general class of one-parametric with memory method for solving nonlinear equations. Caspian Journal of Mathematical Sciences, 2021; 10(2): 309-335. doi: 10.22080/cjms.2021.18643.1482
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