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 allows almost every aspect of sessions to be customized, under full programmatic control.

NearestFunction[data] represents a function whose values give the elements closest to an element that is supplied.

EntropyFilter[image, r] filters image by replacing every value by the information entropy of the values in its range r neighborhood. EntropyFilter[data, r] applies entropy ...

PartitionMap[f, list, n] applies f to list after partitioning into nonoverlapping sublists of length n. PartitionMap[f, list, n, d] applies f to sublists obtained by ...

At the core of Mathematica's symbolic programming paradigm is the concept of transformation rules for arbitrary symbolic patterns. Mathematica's pattern language conveniently ...

HarmonicMeanFilter[image, r] filters image by replacing every value by the harmonic mean of the values in its range r neighborhood. HarmonicMeanFilter[data, r] applies ...

Here the standard procedure used by Mathematica to evaluate expressions is described. This procedure is the one followed for most kinds of expression. There are, however, ...

You can manipulate lists of transformation rules in Mathematica just like other symbolic expressions. It is common to assign a name to a rule or set of rules. This assigns ...

The replacement operator /. allows you to apply transformation rules to a specific expression. Often, however, you want to have transformation rules automatically applied ...