While most built-in Mathematica functions follow the standard evaluation procedure, some important ones do not. For example, most of the Mathematica functions associated with ...
You will encounter nested lists if you use matrices or generate multidimensional arrays and tables. Mathematica provides many functions for handling such lists. A few ...
SQLServer[...] is an object that represents a server process started in Mathematica.
mint MTensor_shareCount (MTensor t) returns the number of sharing references to an MTensor held by Mathematica.
PoissonDistribution[\[Mu]] represents a Poisson distribution with mean \[Mu].
List
(Built-in Mathematica Symbol) {e_1, e_2, ...} is a list of elements.
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 ...
KnotData[knot, " property"] gives the specified property for a knot.KnotData[knot] gives an image of the knot.KnotData["class"] gives a list of knots in the specified class.
When fitting data to a model, it is often important to obtain additional results to compare the data to the fitted function. You may wish to check the significance of ...
ArrayRules[SparseArray[...]] gives the rules {pos_1 -> val_1, pos_2 -> val_2, ...} specifying elements in a sparse array. ArrayRules[list] gives rules for SparseArray[list].