Analysis of Variance Package (ANOVA Package Tutorial)

This package provides functions for performing a univariate Analysis of Variance (ANOVA) to examine the differences between groups of means. The function ANOVA can handle ...

IDA Method for NDSolve (Mathematica Tutorial)

The IDA package is part of the SUNDIALS (SUite of Nonlinear and DIfferential/ALgebraic equation Solvers) developed at the Center for Applied Scientific Computing of Lawrence ...

DiscreteConvolve (Built-in Mathematica Symbol)

DiscreteConvolve[f, g, n, m] gives the convolution with respect to n of the expressions f and g. DiscreteConvolve[f, g, {n_1, n_2, ...}, {m_1, m_2, ...}] gives the ...

DiscreteLQEstimatorGains (Built-in Mathematica Symbol)

DiscreteLQEstimatorGains[ss, {w, v}, \[Tau]] gives the optimal discrete-time estimator gain matrix with sampling period \[Tau] for the continuous-time StateSpaceModel object ...

Discriminant (Built-in Mathematica Symbol)

Discriminant[poly, var] computes the discriminant of the polynomial poly with respect to the variable var.Discriminant[poly, var, Modulus -> p] computes the discriminant ...

EstimatorRegulator (Built-in Mathematica Symbol)

EstimatorRegulator[ss, {l, \[Kappa]}] constructs the feedback regulator for the StateSpaceModel object ss with estimator and feedback gain matrices l and \[Kappa], ...

LQGRegulator (Built-in Mathematica Symbol)

LQGRegulator[{ss, sensors, finputs}, {w, v, h}, {q, r, p}] constructs the optimal feedback regulator for the StateSpaceModel ss using noisy measurements sensors and feedback ...

ParameterEstimator (Built-in Mathematica Symbol)

ParameterEstimator is an option to EstimatedDistribution and FindDistributionParameters that specifies what parameter estimator to use.

Riffle (Built-in Mathematica Symbol)

Riffle[{e_1, e_2, ...}, x] gives {e_1, x, e_2, x, ...}. Riffle[{e_1, e_2, ...}, {x_1, x_2, ...}] gives {e_1, x_1, e_2, x_2, ...}. Riffle[list, x, n] yields a list in which ...

SymmetricPolynomial (Built-in Mathematica Symbol)

SymmetricPolynomial[k, {x_1, ..., x_n}] gives the k\[Null]^th elementary symmetric polynomial in the variables x_1, ..., x_n.