Automating Symbolic Partial Differentiation on Multivariate Polynomials
This study develops a novel implementation for symbolic partial differentiation of multivariate polynomials in MATLAB. Pseudocode, a flowchart and MATLAB source code are developed. The program is then tested for samples of multivariate polynomials and partial differentiation operations. It is demonstrated that the program generates results with 100% accuracy. Applications of the developed program are unlimited, with potential uses in economic, engineering and scientific neural network and computer-based model and systems.
Authors
- Thomas Musora (ORCID: https://orcid.org/0009-0001-6197-1156)
- Henry Samambgwa
Institutions
- Chinhoyi University of Technology (ZW)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-12-31
- DOI
- https://doi.org/10.5281/zenodo.18411888
- Primary Topic
- Polynomial and algebraic computation
- Type
- article
- Field-Weighted Citation Impact
- 0.00