Quasi-Newton Methods (Mathematica Tutorial)

There are many variants of quasi-Newton methods. In all of them, the idea is to base the matrix B_k in the quadratic model on an approximation of the Hessian matrix built up ...

Algebraic Operations on Polynomials (Mathematica Tutorial)

For many kinds of practical calculations, the only operations you will need to perform on polynomials are essentially structural ones. If you do more advanced algebra with ...

BatesDistribution (Built-in Mathematica Symbol)

BatesDistribution[n] represents the distribution of a mean of n random variables uniformly distributed from 0 to 1.BatesDistribution[n, {min, max}] represents the ...

BernoulliDistribution (Built-in Mathematica Symbol)

BernoulliDistribution[p] represents a Bernoulli distribution with probability parameter p.

CauchyDistribution (Built-in Mathematica Symbol)

CauchyDistribution[a, b] represents a Cauchy distribution with location parameter a and scale parameter b.

DavisDistribution (Built-in Mathematica Symbol)

DavisDistribution[b, n, \[Mu]] represents a Davis distribution with scale parameter b, shape parameter n, and location parameter \[Mu].

FisherZDistribution (Built-in Mathematica Symbol)

FisherZDistribution[n, m] represents a Fisher z distribution with n numerator and m denominator degrees of freedom.

HotellingTSquareDistribution (Built-in Mathematica Symbol)

HotellingTSquareDistribution[p, m] represents Hotelling's T^2 distribution with dimensionality parameter p and m degrees of freedom.

KumaraswamyDistribution (Built-in Mathematica Symbol)

KumaraswamyDistribution[\[Alpha], \[Beta]] represents a Kumaraswamy distribution with shape parameters \[Alpha] and \[Beta].

LogGammaDistribution (Built-in Mathematica Symbol)

LogGammaDistribution[\[Alpha], \[Beta], \[Mu]] represents a log-gamma distribution with shape parameters \[Alpha] and \[Beta] and location parameter \[Mu].