A Procedure to Fit an Interpolating Curve to a Set of Logistic Data

Authors

  • Md Shariful Islam Department of Mathematics, Texas Christian University, Fort worth Texas– 76129, USA
  • Mir Shariful Islam Department of Oceanography, Dhaka University, Dhaka-1000, Bangladesh
  • AFM Khodadad Khan Independent University, Dhaka-1212, Bangladesh
  • Md Zavid Iqbal Bangalee Department of Applied Mathematics, Dhaka University, Dhaka-1000, Bangladesh

DOI:

https://doi.org/10.3329/dujs.v65i2.54516

Keywords:

Logistics Model, Least Square Approximation, Mathematica.

Abstract

Logistic dynamics are frequently encountered in real life problems, especially in population dynamics. Data showing an appearance to follow logistic model may be interpolated by standards methods in numerical analysis. In this paper we discuss a method to fit a curve to such data using the intrinsic analytic properties of the data in terms of least square method and graphic tools in the environment of Mathematica.

Dhaka Univ. J. Sci. 65(2): 103-105, 2017 (July)

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Published

2017-07-05

How to Cite

Islam, M. S., Islam, M. S., Khan, A. K., & Bangalee, M. Z. I. (2017). A Procedure to Fit an Interpolating Curve to a Set of Logistic Data. Dhaka University Journal of Science, 65(2), 103–105. https://doi.org/10.3329/dujs.v65i2.54516

Issue

Vol. 65 No. 2 (2017)

Section

Articles