Automating numerical partial differentiation

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Authors: Henry Samambgwa, Thomas Musora
Cited by: 0

Abstract

This study develops an algorithm and MATLAB implementation for executing numerical partial differential operations of arbitrary order. The central difference numerical estimation scheme is adapted for repetitive numerical partial differentiation. A flowchart and MATLAB code are developed to programmatically execute numerical partial differential operations. The implementation is tested for three types of functions, a polynomial, trigonometric and exponential functions. In validation, the program demonstrated high accuracy with minimal error. The program improves analytic capabilities of researchers in dealing with large data sets to produce accurate results in limited time.

Fields of Study & Subjects

Numerical methods for differential equations Numerical Methods and Algorithms Scientific Research and Discoveries

Publication details

Journal / source
Global Journal of Engineering and Technology Advances
Volume
26
Issue
1
Pages
069–078
Publication date
10 January 2026