MovingAverage (Built-in Mathematica Symbol)

MovingAverage[list, r] gives the moving average of list, computed by averaging runs of r elements.MovingAverage[list, {w_1, w_2, ..., w_r}] gives the moving average of list, ...

RandomChoice (Built-in Mathematica Symbol)

RandomChoice[{e_1, e_2, ...}] gives a pseudorandom choice of one of the e_i. RandomChoice[list, n] gives a list of n pseudorandom choices. RandomChoice[list, {n_1, n_2, ...}] ...

Thread (Built-in Mathematica Symbol)

Thread[f[args]] "threads" f over any lists that appear in args. Thread[f[args], h] threads f over any objects with head h that appear in args. Thread[f[args], h, n] threads f ...

TransferFunctionCancel (Built-in Mathematica Symbol)

TransferFunctionCancel[tf] cancels common poles and zeros in the TransferFunctionModel object tf.TransferFunctionCancel[tf, crit] cancels only common pole-zero pairs e_i for ...

UnitStep (Built-in Mathematica Symbol)

UnitStep[x] represents the unit step function, equal to 0 for x < 0 and 1 for x >= 0. UnitStep[x_1, x_2, ...] represents the multidimensional unit step function which is 1 ...

WignerD (Built-in Mathematica Symbol)

WignerD[{j, m_1, m_2}, \[Psi], \[Theta], \[Phi]] gives the Wigner D-function D_m_1^m_2, j(\[Psi], \[Theta], \[Phi]).WignerD[{j, m_1, m_2}, \[Theta], \[Phi]] gives the Wigner ...

DateListLogPlot (Built-in Mathematica Symbol)

DateListLogPlot[{{date_1, v_1}, {date_2, v_2}, ...}] makes a log plot with values v_i at a sequence of dates.DateListLogPlot[{v_1, v_2, ...}, datespec] makes a log plot with ...

Memory Management (Mathematica Tutorial)

Finding memory usage. Particularly for symbolic computations, memory is usually the primary resource which limits the size of computations you can do. If a computation runs ...

Text and Font Options (Mathematica Tutorial)

General options for text formatting. If you have a large block of text containing no explicit newline characters, then Mathematica will automatically break your text into a ...

Random Number Generation (Mathematica Tutorial)

The ability to generate pseudorandom numbers is important for simulating events, estimating probabilities and other quantities, making randomized assignments or selections, ...