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فهرست نشریات دارای اعتبار وزارت علوم، تحقیقات و فناوری
پایگاه استنادی علوم جهان اسلام (ISC)

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Torkashvand, Vali. (1401). A two-step method adaptive with memory with eighth-order for solving nonlinear equations and its dynamic. سامانه مدیریت نشریات علمی, 10(4), 1007-1026. doi: 10.22034/cmde.2022.46651.1961
Vali Torkashvand. "A two-step method adaptive with memory with eighth-order for solving nonlinear equations and its dynamic". سامانه مدیریت نشریات علمی, 10, 4, 1401, 1007-1026. doi: 10.22034/cmde.2022.46651.1961
Torkashvand, Vali. (1401). 'A two-step method adaptive with memory with eighth-order for solving nonlinear equations and its dynamic', سامانه مدیریت نشریات علمی, 10(4), pp. 1007-1026. doi: 10.22034/cmde.2022.46651.1961
Torkashvand, Vali. A two-step method adaptive with memory with eighth-order for solving nonlinear equations and its dynamic. سامانه مدیریت نشریات علمی, 1401; 10(4): 1007-1026. doi: 10.22034/cmde.2022.46651.1961

A two-step method adaptive with memory with eighth-order for solving nonlinear equations and its dynamic

Computational Methods for Differential Equations
مقاله 12، دوره 10، شماره 4، دی 2022، صفحه 1007-1026    اصل مقاله (1.41 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22034/cmde.2022.46651.1961
نویسنده
Vali Torkashvand* 1، 2
1Department of Mathematics, Shahre-Qods Branch, Islamic Azad University, Tehran, Iran.
2Department of Basic Science, Shahid Sattari Aeronatuical Uinversity of Science and Technology, Tehran, Iran.
چکیده
In this work, we have constructed the with memory two-step method with four convergence degrees by entering the maximum self-accelerator parameter(three parameters). Then, using Newton’s interpolation, a with-memory method with a convergence order of 7.53 is constructed. Using the information of all the steps, we will improve the convergence order by one hundred percent, and we will introduce our method with convergence order 8. Numerical examples demonstrate the exceptional convergence speed of the proposed method and confirm theoretical results. Finally, we have presented the dynamics of the adaptive method and other without-memory methods for complex polynomials of degrees two, three, and four. The basins of attraction of existing with-memory methods are present and compared to illustrate their performance.
کلیدواژه‌ها
Nonlinear equations؛ Basin of attraction؛ Adaptive methods؛ R-order convergence؛ Self accelerating parameter
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