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  2. Free factor complex - Wikipedia

    en.wikipedia.org/wiki/Free_factor_complex

    The hyperbolic boundary () of the free factor graph can be identified with the set of equivalence classes of "arational" -trees in the boundary of the Outer space . [ 8 ] The free factor complex is a key tool in studying the behavior of random walks on Out ⁡ ( F n ) {\displaystyle \operatorname {Out} (F_{n})} and in identifying the Poisson ...

  3. Cayley's formula - Wikipedia

    en.wikipedia.org/wiki/Cayley's_formula

    Each labelled rooted forest can be turned into a labelled tree with one extra vertex, by adding a vertex with label n + 1 and connecting it to all roots of the trees in the forest. There is a close connection with rooted forests and parking functions , since the number of parking functions on n cars is also ( n + 1) n − 1 .

  4. General number field sieve - Wikipedia

    en.wikipedia.org/wiki/General_number_field_sieve

    In number theory, the general number field sieve (GNFS) is the most efficient classical algorithm known for factoring integers larger than 10 100. Heuristically, its complexity for factoring an integer n (consisting of ⌊log 2 n ⌋ + 1 bits) is of the form

  5. Factor graph - Wikipedia

    en.wikipedia.org/wiki/Factor_graph

    with a corresponding factor graph shown on the right. Observe that the factor graph has a cycle. If we merge (,) (,) into a single factor, the resulting factor graph will be a tree. This is an important distinction, as message passing algorithms are usually exact for trees, but only approximate for graphs with cycles.

  6. Graph factorization - Wikipedia

    en.wikipedia.org/wiki/Graph_factorization

    A k-factor of a graph is a spanning k-regular subgraph, and a k-factorization partitions the edges of the graph into disjoint k-factors. A graph G is said to be k-factorable if it admits a k-factorization. In particular, a 1-factor is a perfect matching, and a 1-factorization of a k-regular graph is a proper edge coloring with k colors.

  7. Tree (graph theory) - Wikipedia

    en.wikipedia.org/wiki/Tree_(graph_theory)

    In graph theory, a tree is an undirected graph in which any two vertices are connected by exactly one path, or equivalently a connected acyclic undirected graph. [1] A forest is an undirected graph in which any two vertices are connected by at most one path, or equivalently an acyclic undirected graph, or equivalently a disjoint union of trees.