Derivative and 3D Graph Simulation in MATLAB: Mathematical Exploration and Visual Analysis

This study presents a MATLAB-based computational visualization system for the three-dimensional representation of multivariable functions and their partial derivatives. The proposed framework integrates symbolic differentiation, numerical evaluation, and 3D graphical rendering within a reproducible computational environment. The system, implemented in MATLAB (R2023b), uses the Symbolic Math Toolbox together with built-in visualization functions such as surf and quiver3. A benchmark function, z=x^2-y^2, is used to demonstrate the visualization of saddle surface geometry and corresponding derivative fields. Results show that the system effectively represents multivariable functions and their partial derivatives in a geometrically consistent manner. Unlike static visualization methods, the proposed approach enables integrated and dynamic exploration of mathematical structures. However, the study does not include empirical evaluation of learning outcomes; thus, educational implications are considered conceptual. Overall, the framework provides a reproducible and efficient tool for visualizing multivariable calculus concepts in a computational environment.

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Publication Details

Journal
Journal of studies in advanced technologies.
Published
2026-06-30
DOI
https://doi.org/10.63063/jsat.1927466
Primary Topic
Polynomial and algebraic computation
Type
article
Field-Weighted Citation Impact
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article

Derivative and 3D Graph Simulation in MATLAB: Mathematical Exploration and Visual Analysis

Yasin Soylu, Ali Türkoğlu
Journal of studies in advanced technologies.
Polynomial and algebraic computation
article

Derivative and 3D Graph Simulation in MATLAB: Mathematical Exploration and Visual Analysis

Yasin Soylu, Ali Türkoğlu
article en

Abstract

This study presents a MATLAB-based computational visualization system for the three-dimensional representation of multivariable functions and their partial derivatives. The proposed framework integrates symbolic differentiation, numerical evaluation, and 3D graphical rendering within a reproducible computational environment. The system, implemented in MATLAB (R2023b), uses the Symbolic Math Toolbox together with built-in visualization functions such as surf and quiver3. A benchmark function, z=x^2-y^2, is used to demonstrate the visualization of saddle surface geometry and corresponding derivative fields. Results show that the system effectively represents multivariable functions and their partial derivatives in a geometrically consistent manner. Unlike static visualization methods, the proposed approach enables integrated and dynamic exploration of mathematical structures. However, the study does not include empirical evaluation of learning outcomes; thus, educational implications are considered conceptual. Overall, the framework provides a reproducible and efficient tool for visualizing multivariable calculus concepts in a computational environment.

Journal of studies in advanced technologies.Vol. 4(1)
University of Kara (TG), Faculty (United Kingdom) (GB), Engineering (Italy) (IT)
Quality Education
Openalex Percentile: Top 6%
Polynomial and algebraic computation
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