Dynamic (Built-in Mathematica Symbol)

Dynamic[expr] represents an object that displays as the dynamically updated current value of expr. If the displayed form of Dynamic[expr] is interactively changed or edited, ...

ElementData (Built-in Mathematica Symbol)

ElementData["name", " property"] gives the value of the specified property for the chemical element " name".ElementData[n, " property"] gives the specified property for the ...

InverseWaveletTransform (Built-in Mathematica Symbol)

InverseWaveletTransform[dwd] gives the inverse wavelet transform of a DiscreteWaveletData object dwd.InverseWaveletTransform[dwd, wave] gives the inverse transform using the ...

LQRegulatorGains (Built-in Mathematica Symbol)

LQRegulatorGains[ss, {q, r}] gives the optimal state feedback gain matrix for the StateSpaceModel object ss and the quadratic cost function with state and control weighting ...

PoissonDistribution (Built-in Mathematica Symbol)

PoissonDistribution[\[Mu]] represents a Poisson distribution with mean \[Mu].

Series (Built-in Mathematica Symbol)

Series[f, {x, x_0, n}] generates a power series expansion for f about the point x = x_0 to order (x - x_0) n. Series[f, {x, x_0, n_x}, {y, y_0, n_y}, ...] successively finds ...

Letters and Letter-like Forms (Mathematica Tutorial)

The complete collection of Greek letters in Mathematica. You can use Greek letters as the names of symbols. The only Greek letter with a built-in meaning in StandardForm is ...

Graph Utilities Package (Graph Utilities Package Tutorial)

The Graph Utilities Package contains a number of functions useful for graph theory applications. Functions in the Graph Utilities Package. This loads the package.

Computational Geometry Package (Computational Geometry Package Tutorial)

Computational geometry is the study of efficient algorithms for solving geometric problems. The nearest neighbor problem involves identifying one point, out of a set of ...

Numerical Nonlinear Local Optimization (Mathematica Tutorial)

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