Overlay[{expr_1, expr_2, ...}] displays as an overlay of all the expr_i.Overlay[{expr_1, expr_2, ...}, {i, j, ...}] displays as an overlay of expr_i, expr_j, ...

Here is one way to get multiple minima: call NMinimize multiple times with different random seeds, which will cause different optimization paths to be taken. This defines a ...

ElementAbsorptionMap[element] generates a plot of the absorption map of the element element.ElementAbsorptionMap[element, ionstage] generates a plot for the ionization level ...

StieltjesGamma[n] gives the Stieltjes constant \[Gamma]_n. StieltjesGamma[n, a] gives the generalized Stieltjes constant \[Gamma]_n (a).

In Mathematica's unified symbolic architecture, every Mathematica notebook you see is represented as a symbolic expression that can be manipulated and controlled ...

ErrorListPlot[{{y_1, dy_1}, {y_2, dy_2}, ...}] plots points corresponding to a list of values y_1, y_2, ..., with corresponding error bars. The errors have magnitudes dy_1, ...

Animator[u] represents an object that displays with the value of u being continually increased from 0 to 1 with time. Animator[u, {u_min, u_max}] makes u vary from u_min to ...

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

Sec[z] gives the secant of z.

Haversine[z] gives the haversine function hav(z).