DaubechiesWavelet (Built-in Mathematica Symbol)

DaubechiesWavelet[] represents a Daubechies wavelet of order 2. DaubechiesWavelet[n] represents a Daubechies wavelet of order n.

HaarWavelet (Built-in Mathematica Symbol)

HaarWavelet[] represents a Haar wavelet.

List (Built-in Mathematica Symbol)

{e_1, e_2, ...} is a list of elements.

MeyerWavelet (Built-in Mathematica Symbol)

MeyerWavelet[] represents the Meyer wavelet of order 3.MeyerWavelet[n] represents the Meyer wavelet of order n evaluated on the equally spaced interval {-10, ...

MinValue (Built-in Mathematica Symbol)

MinValue[f, x] gives the minimum value of f with respect to x.MinValue[f, {x, y, ...}] gives the minimum value of f with respect to x, y, .... MinValue[{f, cons}, {x, y, ...

SymletWavelet (Built-in Mathematica Symbol)

SymletWavelet[] represents the Symlet wavelet of order 4.SymletWavelet[n] represents the Symlet wavelet of order n.

MultivariateTDistribution (Built-in Mathematica Symbol)

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

Numerical Nonlinear Global Optimization (Mathematica Tutorial)

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

Specifying Derivatives (Mathematica Tutorial)

The function FindRoot has a Jacobian option; the functions FindMinimum, FindMaximum, and FindFit have a Gradient option; and the "Newton" method has a method option Hessian. ...

Control the Precision and Accuracy of ... (Mathematica How To)

Mathematica works with both exact quantities and approximate numbers. Using N , you can obtain a numerical approximation to an exact quantity with any desired precision or ...