A computational approach with residual error analysis for the fractional-order biological population model

被引:5
作者
Gokmen, Elcin [1 ]
机构
[1] Mugla Sitki Kocman Univ, Dept Math, Fac Sci, TR-48000 Mugla, Turkey
关键词
Fractional-order biological population model; carrying capacity; Bernstein series solution method; Caputo derivative; error analysis; EFFICIENT NUMERICAL TECHNIQUE; DIFFERENTIAL-EQUATIONS; COLLOCATION METHOD; SYSTEMS;
D O I
10.1080/16583655.2021.1952750
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this study, a fractional Bernstein series solution method has been submitted to solve the fractional-order biological population model with one carrying capacity. The numerical method has been implemented by an effective algorithm written on the computer algebraic system Maple 15. An error-bound analysis is performed by using a process similar to the RK45 method. An error estimation technique relating to residual function is presented. In the numerical application, the variations in the population of prey and predator with respect to time and situations of these two species relative to each other are plotted. The outputs obtained from our method are compared with the homotopy perturbation Sumudu transform method and reproducing kernel Hilbert space method. The approximate solutions gained from the Bernstein series method are consistent with those of other methods. The advantage of our method is that it requires less computational cost compared with methods involving more complex operations.
引用
收藏
页码:218 / 225
页数:8
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