Mathematica is the tool that has made possible Stephen Wolfram's exploration of the computational universe, and the emerging field of Wolfram Science (NKS). Whether for ...

Mathematica's symbolic character allows a powerful unification of the notion of conditionals in programming and in mathematics.

Mathematica provides an extensive suite of built-in functionality to carry out analysis, design, and simulation of continuous- and discrete-time control systems using both ...

Mathematica efficiently implements state-of-the-art data classification algorithms, allowing you to visualize distributions, search for nearest neighbors, and do cluster ...

Mathematica provides powerful functions to compute state-feedback and estimator gains using pole-placement or optimal techniques. In addition, it has functions that directly ...

Discrete distributions come from a variety of backgrounds, but perhaps the most common relate back to the simple Bernoulli trial, which chooses between two outcomes, called ...

The fundamental type of distribution in reliability analysis is a lifetime distribution. This models the lifetime of a component or a system. Many lifetime distributions are ...

A foundational idea in Mathematica is that all expressions—whatever they may represent—ultimately have a uniform tree-like structure.

Using a variety of state-of-the-art methods, Mathematica provides immediate functions for detecting and extracting features in images and other arrays of data. Mathematica ...