Department of Mathematics and Statistics, School of Natural Sciences and Mathematics, Chinhoyi University of Technology, 78 Magamba Way, Off Chirundu Road, Chinhoyi, Zimbabwe.
Received on 30 November 2025; revised on 05 January 2026; accepted on 07 January 2026
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.
Numerical Partial Differentiation; MATLAB source code; Algorithm; Flowchart
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Henry Samambgwa and Thomas Musora. Automating numerical partial differentiation. Global Journal of Engineering and Technology Advances, 2026, 26(1), 069-078. Article DOI: https://doi.org/10.30574/gjeta.2026.26.1.0001





