Numerical Nonlinear Local Optimization (Mathematica Tutorial)

Numerical algorithms for constrained nonlinear optimization can be broadly categorized into gradient-based methods and direct search methods. Gradient search methods use ...

BetaPrimeDistribution (Built-in Mathematica Symbol)

BetaPrimeDistribution[p, q] represents a beta prime distribution with shape parameters p and q. BetaPrimeDistribution[p, q, \[Beta]] represents a generalized beta prime ...

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 ...

MultivariateTDistribution (Built-in Mathematica Symbol)

MultivariateTDistribution[\[CapitalSigma], \[Nu]] represents the multivariate Student t distribution with scale matrix \[CapitalSigma] and degrees of freedom parameter ...

BenktanderGibratDistribution (Built-in Mathematica Symbol)

BenktanderGibratDistribution[a, b] represents a Benktander distribution of type I with parameters a and b.

BenktanderWeibullDistribution (Built-in Mathematica Symbol)

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

ChiDistribution (Built-in Mathematica Symbol)

ChiDistribution[\[Nu]] represents a \[Chi] distribution with \[Nu] degrees of freedom.

DateListPlot (Built-in Mathematica Symbol)

DateListPlot[{{date_1, v_1}, {date_2, v_2}, ...}] plots points with values v i at a sequence of dates.DateListPlot[{v_1, v_2, ...}, datespec] plots points with dates at equal ...

DynamicModule (Built-in Mathematica Symbol)

DynamicModule[{x, y, ...}, expr] represents an object which maintains the same local instance of the symbols x, y, ... in the course of all evaluations of Dynamic objects in ...

ExponentialPowerDistribution (Built-in Mathematica Symbol)

ExponentialPowerDistribution[\[Kappa], \[Mu], \[Sigma]] represents an exponential power distribution with shape parameter \[Kappa], location parameter \[Mu], and scale ...