Since many functions in Mathematica give solutions in the form of rules, you need to be able to use these rules to explore and interpret your results. Although many of the ...

Pattern matching makes possible some of the most succinct and elegant programs in the Mathematica language—immediately compressing large numbers of conditional cases into ...

Mathematica's symbolic character allows a powerful unification of the notion of conditionals in programming and in mathematics.

GroupSetwiseStabilizer[group, {p_1, ..., p_n}] returns the subgroup of group for which the images of the points p_i are still in the list {p_1, ..., p_n}.

SetSharedVariable[s_1, s_2, ...] declares the symbols s_i as shared variables whose values are synchronized among all parallel kernels.

VertexDegree[g] gives the list of vertex degrees for all vertices in the graph g.VertexDegree[g, v] gives the vertex degree for the vertex v.

VertexInDegree[g] gives the list of vertex in-degrees for all vertices in the graph g.VertexInDegree[g, v] gives the vertex in-degree for the vertex v.

VertexOutDegree[g] gives the list of vertex out-degrees for all vertices in the graph g.VertexOutDegree[g, v] gives the vertex out-degree for the vertex v.

Mathematica's symbolic architecture supports a highly generalized notion of assignment, in which you can specify a transformation for any class of expressions defined by a ...

void MLSetAllocParameter (char* p, MLAllocator a, MLDeallocator d) sets the memory allocator and deallocator specified by a and d in the MLParameters object p for later use ...