Mathematica encapsulates in a small number of functions vast flexibility in rearranging lists with any structure and any number of elements.

Statistical visualization is used to understand how data is distributed and how that compares to other datasets and distributions. Histograms and smooth histograms both ...

You may wish to save your work in a format other than the default Mathematica notebook for sharing or publication. Mathematica has a very robust system for exporting your ...

There are many convenient ways to get an image into Mathematica , including drag and drop. You can also import images by evaluating commands in a notebook. Once you have an ...

Lists are very important structures in Mathematica. Lists allow you treat any kind of collection of objects as a single entity. Sometimes you need to pick out or extract ...

Mathematica provides many functions to group terms in a polynomial, extract and sort the monomials, display them in various ways, and even process them as arbitrary ...

BezierFunction[{pt_1, pt_2, ...}] represents a Bézier function for a curve defined by the control points pt_i.BezierFunction[array] represents a Bézier function for a surface ...

BilateralFilter[image, \[Sigma], \[Mu]] applies a bilateral filter of spatial spread \[Sigma] and pixel value spread \[Mu] to image.

Clip[x] gives x clipped to be between -1 and +1. Clip[x, {min, max}] gives x for min <= x <= max, min for x < min and max for x > max. Clip[x, {min, max}, {v_min, v_max}] ...

ColorConvert[expr, colspace] converts color specifications in expr to refer to the color space represented by colspace.