TY - JOUR
T1 - A Computational Algorithm for Solution of Population Models for Single and Interacting Species
AU - Amin, Rohul
AU - Yüzbaşı, Şuayip
AU - Syam, Muhammed
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature India Private Limited.
PY - 2021/10
Y1 - 2021/10
N2 - In this paper, we present a computational technique based on Haar wavelet for two continuous population models (CPMs) regarding single and interacting species. The derivative involved in the population model is approximated using Haar functions in the Haar collocation technique, and the integration process is used to obtain the estimated solution for the unknown function involved in a population model. Also the error estimation of the proposed technique for CPMs for single and interacting species are given to check the accuracy of proposed technique. To demonstrate the accuracy of the proposed technique for single and interacting species, some examples are given. The rate of convergence is also estimated, which is approximately equal to 2, confirming the theoretical results. The results are compared with the exact solution, and the technique efficiency is demonstrated by measuring maximum absolute errors using different collocation points. The results show that Haar technique is simple and robust.
AB - In this paper, we present a computational technique based on Haar wavelet for two continuous population models (CPMs) regarding single and interacting species. The derivative involved in the population model is approximated using Haar functions in the Haar collocation technique, and the integration process is used to obtain the estimated solution for the unknown function involved in a population model. Also the error estimation of the proposed technique for CPMs for single and interacting species are given to check the accuracy of proposed technique. To demonstrate the accuracy of the proposed technique for single and interacting species, some examples are given. The rate of convergence is also estimated, which is approximately equal to 2, confirming the theoretical results. The results are compared with the exact solution, and the technique efficiency is demonstrated by measuring maximum absolute errors using different collocation points. The results show that Haar technique is simple and robust.
KW - Collocation method
KW - Haar wavelet
KW - Logistic growth
KW - Nonlinear differential equations
KW - Predator–prey models
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U2 - 10.1007/s40819-021-01119-x
DO - 10.1007/s40819-021-01119-x
M3 - Article
AN - SCOPUS:85113408242
SN - 2349-5103
VL - 7
JO - International Journal of Applied and Computational Mathematics
JF - International Journal of Applied and Computational Mathematics
IS - 5
M1 - 186
ER -