SparseArray
SparseArray[>, >, ... ] yields a sparse array in which values appear at positions .
SparseArray[, , ... >, , ... ] yields the same sparse array.
SparseArray[list] yields a sparse array version of list.
SparseArray[data, , , ... ] yields a sparse array representing a array.
SparseArray[data, dims, val] yields a sparse array in which unspecified elements are taken to have value val.
By default, SparseArray takes unspecified elements to be 0.
SparseArray[data, ... ] is always converted to an optimized standard form with structure SparseArray[Automatic, dims, val, ... ].
Normal[SparseArray[... ]] gives the ordinary array corresponding to a sparse array object.
ArrayRules[SparseArray[... ]] gives the list of rules >, >, ... .
The elements in SparseArray need not be numeric.
The position specifications can contain patterns.
Example: SparseArray[i_, i_>1, d, d] gives a identity matrix.
With rules :> the are evaluated separately for each set of indices that match .
SparseArray[list] requires that list be a full array, with all parts at a particular level being lists of the same length.
The individual elements of a sparse array cannot themselves be lists.
SparseArray[rules] yields a sparse array with dimensions exactly large enough to include elements whose positions have been explicitly specified.
SparseArray[rules, Automatic, val] takes unspecified elements to have value val.
List and matrix operations are typically set up to work as they do on Normal[SparseArray[... ]].
Functions with attribute Listable are automatically threaded over the individual elements of the ordinary arrays represented by SparseArray objects.
Part extracts specified parts of the array represented by a SparseArray object, rather than parts of the SparseArray expression itself.
Functions like Map are automatically applied to components in a SparseArray object.
SparseArray is treated as a raw object by functions like AtomQ, and for purposes of pattern matching.
Dimensions gives the dimensions of a sparse array.
The standard output format for a sparse array specified by n rules is SparseArray[<n>, dims].
See Section 2.4.1 and Section 2.4.5.
Implementation Notes: see Section A.9.4.
See also: ArrayRules, Normal, Replace.
New in Version 5.0.
Further Examples
