Interpolation[{f_1, f_2, ...}] constructs an interpolation of the function values f_i, assumed to correspond to x values 1, 2, ... . Interpolation[{{x_1, f_1}, {x_2, f_2}, ...
In any interactive session, Mathematica effectively operates in a loop. It waits for your input, processes the input, prints the result, then goes back to waiting for input ...
DistributionFitTest[data] tests whether data is normally distributed. DistributionFitTest[data, dist] tests whether data is distributed according to dist. ...
This loads packages containing some test problems and utility functions. One of the first and simplest methods for solving initial value problems was proposed by Euler: ...
ArgMin
(Built-in Mathematica Symbol) ArgMin[f, x] gives a position x_min at which f is minimized.ArgMin[f, {x, y, ...}] gives a position {x_min, y_min, ...} at which f is minimized.ArgMin[{f, cons}, {x, y, ...}] ...
Point
(Built-in Mathematica Symbol) Point[coords] is a graphics primitive that represents a point. Point[{coords_1, coords_2, ...}] represents a collection of points.
BooleanMaxterms[k, n] represents the k\[Null]^th maxterm in n variables.BooleanMaxterms[{k_1, k_2, ...}, n] represents the conjunction of the maxterms ...
BooleanMinterms[k, n] represents the k\[Null]\[Null]^th minterm in n variables.BooleanMinterms[{k_1, k_2, ...}, n] represents the disjunction of the minterms ...
RectangleChart[{{x_1, y_1}, {x_2, y_2}, ...}] makes a rectangle chart with bars of width x_i and height y_i. RectangleChart[{..., w_i[{x_i, y_i}, ...], ..., w_j[{x_i, y_j}, ...
QRDecomposition[m] yields the QR decomposition for a numerical matrix m. The result is a list {q, r}, where q is an orthogonal matrix and r is an upper-triangular matrix.