Differentiation (Mathematica Tutorial)

Partial differentiation operations. This gives ( ∂ ) / ( ∂x ) x^n. This gives the third derivative.

Generating Unstructured Output (Mathematica Tutorial)

The functions described in "Textual Input and Output Overview" determine how expressions should be formatted when they are printed, but they do not actually cause anything to ...

Operations on Scalars, Vectors, and ... (Mathematica Tutorial)

Most mathematical functions in Mathematica are set up to apply themselves separately to each element in a list. This is true in particular of all functions that carry the ...

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.

Gauss–Newton Methods (Mathematica Tutorial)

For minimization problems for which the objective function is a sum of squares, it is often advantageous to use the special structure of the problem. Time and effort can be ...

Hierarchical Clustering Package (Hierarchical Clustering Package Tutorial)

The function FindClusters finds clusters in a dataset based on a distance or dissimilarity function. This package contains functions for generating cluster hierarchies and ...

Listing of All Formats (Mathematica Guide)

Mathematica supports many formats, with many subformats, variants, and options.

Cosh (Built-in Mathematica Symbol)

Cosh[z] gives the hyperbolic cosine of z.

Fit (Built-in Mathematica Symbol)

Fit[data, funs, vars] finds a least-squares fit to a list of data as a linear combination of the functions funs of variables vars.

Raster (Built-in Mathematica Symbol)

Raster[{{a_11, a_12, ...}, ...}] is a two-dimensional graphics primitive which represents a rectangular array of gray cells. Raster[{{{r_11, g_11, b_11}, ...}, ...}] ...