This course is intended for undergraduate students in mathematics, physics and engineering. It strikes a balance between the pure and applied aspects of complex analysis. ...

The machine learning framework for Mathematica is a collection of powerful machine learning algorithms integrated into a framework for the main purpose of data analysis. ...

The article describes the use of Mathematica, a computer algebra system (CAS), in a high school chemistry course. Mathematica was used to generate a graph, where a slider ...

The following sections give a high-level introduction to the way Mathematica handles algebraic numbers. It is not essential to understanding the Mathematica equation solvers ...

This package provides a Mathematica implementation of the Black-Scholes option pricing model, which has numerous financial applications in asset valuation and risk ...

A look at how new features in the Mathematica notebook interface are making it more useful as a stand-alone development environment. Features we'll look at include the front ...

MathCode is a high-performance code-generation system for a subset of Mathematica. Its key features include the following. High-speed numeric computation Generation of ...

Currently the website functions.wolfram.com includes more than 33,000 formulas for the about 250 elementary and special functions that are available in Mathematica. The ...

TMecanica is an add-on application for the Mathematica package "Tensorial 3.0" that implements Poisson brackets and symplectic matrices for handling classical mechanics ...

In this paper, analytical formulas and numerical values are derived and calculated by Mathematica for electron optical properties of monopole, dipole, and quadrupole lenses. ...