Line Search Methods (Mathematica Tutorial)

A method like "Newton's" method chooses a step, but the validity of that step only goes as far as the Newton quadratic model for the function really reflects the function. ...

DSolve (Built-in Mathematica Symbol)

DSolve[eqn, y, x] solves a differential equation for the function y, with independent variable x. DSolve[{eqn_1, eqn_2, ...}, {y_1, y_2, ...}, x] solves a list of ...

ExponentialDistribution (Built-in Mathematica Symbol)

ExponentialDistribution[\[Lambda]] represents an exponential distribution with scale inversely proportional to parameter \[Lambda].

StableDistribution (Built-in Mathematica Symbol)

StableDistribution[type, \[Alpha], \[Beta], \[Mu], \[Sigma]] represents the stable distribution S_type with index of stability \[Alpha], skewness parameter \[Beta], location ...

Deployment (GUIKit Package Tutorial)

There are a number of features of the GUIKit framework that aid deployment of user interface definitions with your own AddOns so that they can be easily executed when needed. ...

NumberTheory`NumberTheoryFunctions` (Mathematica Compatibility Information)

SquareFreeQ, PrimePowerQ, KroneckerSymbol, ChineseRemainder and PrimitiveRoot have been added to the built-in Mathematica kernel functions. NextPrime and PreviousPrime are ...

DICOM (Mathematica Import/Export Format)

MIME type: application/dicom DICOM medical imaging format. Commonly used in medical imaging equipment and picture archiving and communication systems. DICOM is an acronym for ...

BeckmannDistribution (Built-in Mathematica Symbol)

BeckmannDistribution[\[Mu]_1, \[Mu]_2, \[Sigma]_1, \[Sigma]_2] represents the Beckmann distribution with means \[Mu]_1 and \[Mu]_2 and standard deviations \[Sigma]_1 and ...

BenktanderWeibullDistribution (Built-in Mathematica Symbol)

BenktanderWeibullDistribution[a, b] represents a Benktander distribution of type II with parameters a and b.

CDF (Built-in Mathematica Symbol)

CDF[dist, x] gives the cumulative distribution function for the symbolic distribution dist evaluated at x.CDF[dist, {x_1, x_2, ...}] gives the multivariate cumulative ...