International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN. 

Mathematica for Scientific and Symbolic Computing

Author Affiliations

  • 1Department of Mathematics, Balganga Degree College, Sendul, Kemar, Ghansali, Tehri Garhwal, Uttarakhand-249155, India

Res. J. Mathematical & Statistical Sci., Volume 14, Issue (2), Pages 10-13, May,12 (2026)

Abstract

Mathematica, developed by Wolfram Research, is a comprehensive computational platform that brings together programming, data analysis, visualization, symbolic computation, and numerical calculations in one system. This article explores its development, core architecture, unique programming language, and symbolic capabilities, along with its use across different fields. It also highlights how people with varying levels of expertise can use Mathematica to handle complex tasks efficiently through a range of practical examples.

References

  1. Xu, L., and Chen, K. (2023)., Application Research of Mathematica Software in Calculus Teaching., Appl. Math. Nonlinear Sci., 8(1), 1785–1792.
  2. Abell, M. L. and Braselton, J. P. (2022)., Differential equations with mathematica.,
  3. Maczka, C., Skurativskyi, S., and Vladimirov, V. (2023)., Examples of models described in terms of ordinary differential equations, Lagrange’s formalism and its applications., World Scientific.
  4. Olivieri, C. (2023)., Formerly-Math: Constrained form-finding through membrane equilibrium analysis in Mathematica., Softw. Impacts, 16.
  5. Henning, M. A. and Vuuren, J. H. (2026)., Graph and network theory： An Applied Approach using Mathematica.,
  6. Hilbe, J. M. (2006)., Mathematica 5.2: A review., Am. Stat., 60(2), 176–186.
  7. Vasileva, N., V. Golubev, G. and Evgrafova, I. (2023)., Mathematical programming in Mathcad and Mathematica., E3S Web Conf., 419.
  8. Marichev, O. and Shishkina, E. (2024)., Overview of fractional calculus and its computer implementation in Wolfram Mathematica., Fract. Calc. Appl. Anal., 27(5), 1995–2062.
  9. Hammad, M. M. (2026)., Statistics for Machine Learning with Mathematica Applications.,
  10. Denham M. (1997)., The mathematica book., 21(3).
  11. Tsilika K. (2024)., A Mathematica-Based Interface for the Exploration of Inter- and Intra-Regional Financial Flows., Mathematics, 12(6).
  12. Horvat, S. et al. (2023)., IGraph/M: graph theory and network analysis for Mathematica., J. Open Source Softw., 8(81), 4899.