Inset (Built-in Mathematica Symbol)

Inset[obj] represents an object obj inset in a graphic. Inset[obj, pos] specifies that the inset should be placed at position pos in the graphic. Inset[obj, pos, opos] aligns ...

ProteinData (Built-in Mathematica Symbol)

ProteinData["prot"] gives the reference amino acid sequence for the protein prot.ProteinData["prot", " property"] gives the value of the specified property for the protein ...

Graphics`Graphics3D` (Mathematica Compatibility Information)

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 ...

ArcSin (Built-in Mathematica Symbol)

ArcSin[z] gives the arc sine sin -1 (z) of the complex number z.

Eigenvectors (Built-in Mathematica Symbol)

Eigenvectors[m] gives a list of the eigenvectors of the square matrix m. Eigenvectors[{m, a}] gives the generalized eigenvectors of m with respect to a. Eigenvectors[m, k] ...

EllipticPi (Built-in Mathematica Symbol)

EllipticPi[n, m] gives the complete elliptic integral of the third kind \[CapitalPi] (n \[VerticalSeparator] m). EllipticPi[n, \[Phi], m] gives the incomplete elliptic ...

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 ...

ListInterpolation (Built-in Mathematica Symbol)

ListInterpolation[array] constructs an InterpolatingFunction object that represents an approximate function that interpolates the array of values given. ...

StreamPlot (Built-in Mathematica Symbol)

StreamPlot[{v_x, v_y}, {x, x_min, x_max}, {y, y_min, y_max}] generates a stream plot of the vector field {v_x, v_y} as a function of x and y. StreamPlot[{{v_x, v_y}, {w_x, ...

EstimatorGains (Built-in Mathematica Symbol)

EstimatorGains[ss, {p_1, p_2, ..., p_n}] gives the estimator gain matrix for the StateSpaceModel object ss, such that the poles of the estimator are p_i.