Both a reference and a laboratory for experimentation in discrete mathematics. Provides functions for generating combinatorial structures and considers a wide variety of ...

We provide a toolkit for programming impartial combinatorial games in Mathematica. The toolkit consists of a notebook, GamesEngine.nb, which implements the Sprague-Grundy ...

These notebooks calculate and graph Scatchard plots and other relevant data (conditional probabilities, ligand orientation, cluster length distributions) for the binding of ...

This talk will provide an overview and examples of MathematicalFunctionData and WolframLangaugeData, two useful and powerful new computational data functions in V10.3. In ...

A frequent goal of scientific work is to find a mathematical model of a kinetic process. Such a model consists of a set of rules which describe the behavior of the process. ...

In the first part we show a practical using of Mathematica during the lecture of mathematic analysis. We discuss a student question: Why we need a theory when we have a ...

Methods for finding the solution of second order differential equations are available with most computer algebra systems (CAS's). Unless the mathematical theory is ...

Mathematica's standard packages for statistics already contain many of the most useful commands for problems in mathematical statistics. However, there are some omissions, ...

Students learn in different ways. Many mathematical concepts require dynamic thinking for deep understanding and this can be challenging for students. The new interactive ...

Intended for advanced undergraduate and graduate students, this book teaches how to use Mathematica to solve a wide variety of problems in mathematics and physics. It teaches ...