A differential system can sometimes be solved by analytic means. The function DSolve implements many of the known algorithmic techniques. However, differential systems that ...

DiscreteLQRegulatorGains[ss, {q, r}, \[Tau]] gives the optimal discrete-time state feedback gain matrix with sampling period \[Tau] for the continuous-time StateSpaceModel ...

InverseContinuousWaveletTransform[cwd] gives the inverse continuous wavelet transform of a ContinuousWaveletData object cwd. InverseContinuousWaveletTransform[cwd, wave] ...

ListPointPlot3D has been added to the built-in Mathematica kernel. ListSurfacePlot3D has been added to the built-in Mathematica kernel. BarChart3D has been added to the ...

PoissonConsulDistribution[\[Mu], \[Lambda]] represents a Poisson\[Dash]Consul distribution with parameters \[Mu] and \[Lambda].

This tutorial describes the principles behind Dynamic, DynamicModule, and related functions, and goes into detail about how they interact with each other and with the rest of ...

GeneralizedLinearModelFit[{y_1, y_2, ...}, {f_1, f_2, ...}, x] constructs a generalized linear model of the form g -1 (\[Beta]_0 + \[Beta]_1 f_1 + \[Beta]_2 f_2 + ...) that ...

One of the most common statistical models is the linear regression model. A linear model predicts the value of a response variable by the linear combination of predictor ...

BitXor[n_1, n_2, ...] gives the bitwise XOR of the integers n_i.

In doing numerical operations like NDSolve and NMinimize, Mathematica by default uses machine numbers. But by setting the option WorkingPrecision->n you can tell it to use ...