Representing Textual Forms by Boxes (Mathematica Tutorial)

All textual and graphical forms in Mathematica are ultimately represented in terms of nested collections of boxes. Typically the elements of these boxes correspond to objects ...

ElementData (Built-in Mathematica Symbol)

ElementData["name", " property"] gives the value of the specified property for the chemical element " name".ElementData[n, " property"] gives the specified property for the ...

GompertzMakehamDistribution (Built-in Mathematica Symbol)

GompertzMakehamDistribution[\[Lambda], \[Xi]] represents a Gompertz distribution with scale parameter \[Lambda] and frailty parameter ...

StudentTDistribution (Built-in Mathematica Symbol)

StudentTDistribution[\[Nu]] represents a Student t distribution with \[Nu] degrees of freedom.StudentTDistribution[\[Mu], \[Sigma], \[Nu]] represents a Student t distribution ...

Introduction to Advanced Numerical ... (Mathematica Tutorial)

The Mathematica function NDSolve is a general numerical differential equation solver. It can handle a wide range of ordinary differential equations (ODEs) as well as some ...

Work with Sparse Matrices (Mathematica How To)

Sparse representations of matrices are useful because they do not store every element. If one particular value appears very frequently it can be very advantageous to use a ...

ChemicalData (Built-in Mathematica Symbol)

ChemicalData["name", " property"] gives the value of the specified property for the chemical " name".ChemicalData["name"] gives a structure diagram for the chemical with the ...

ImageCompose (Built-in Mathematica Symbol)

ImageCompose[image, overlay] gives the result of overlaying overlay onto image. ImageCompose[image, {overlay, \[Alpha]}] gives the result of alpha blending overlay into image ...

LatticeReduce (Built-in Mathematica Symbol)

LatticeReduce[{v_1, v_2, ...}] gives a reduced basis for the set of vectors v_i.

LinearRecurrence (Built-in Mathematica Symbol)

LinearRecurrence[ker, init, n] gives the sequence of length n obtained by iterating the linear recurrence with kernel ker starting with initial values ...