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ArrayRules   (Built-in Mathematica Symbol)
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].
Getting and Setting Pieces of Matrices   (Mathematica Tutorial)
Ways to get pieces of matrices. Matrices in Mathematica are represented as lists of lists. You can use all the standard Mathematica list-manipulation operations on matrices. ...
Sparse Arrays: Linear Algebra   (Mathematica Tutorial)
Many large-scale applications of linear algebra involve matrices that have many elements, but comparatively few that are nonzero. You can represent such sparse matrices ...
Matrices and Linear Algebra   (Mathematica Guide)
Mathematica automatically handles both numeric and symbolic matrices, seamlessly switching among large numbers of highly-optimized algorithms. Using many original methods, ...
Sparse Arrays   (Mathematica Guide)
Mathematica has special sparse-array technology for efficiently handling arrays with literally astronomical numbers of elements when only a small fraction of the elements are ...
Discrete & Integer Data   (Mathematica Guide)
Integrated into the Mathematica system are powerful functions for analyzing large volumes of discrete and integer data—often conveniently specified using Mathematica's ...
Elements of Lists   (Mathematica Guide)
Mathematica provides a carefully chosen set of functions for accessing elements of lists either using indices or positions, or using patterns or criteria for their values.
Parts of Matrices   (Mathematica Guide)
Mathematica provides several convenient methods for extracting and manipulating parts of matrices. The flexible [[ ]] (Part) and ;; (Span) syntaxes provide compact yet ...
EdgeRules   (Built-in Mathematica Symbol)
EdgeRules[g] gives the list of edge rules for the graph g.
SparseArray   (Built-in Mathematica Symbol)
SparseArray[{pos_1 -> val_1, pos_2 -> val_2, ...}] yields a sparse array in which values val_i appear at positions pos_i. SparseArray[{pos_1, pos_2, ...} -> {val_1, val_2, ...
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