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  2. Monadic second-order logic - Wikipedia

    en.wikipedia.org/wiki/Monadic_second-order_logic

    For MSO formulas that have free variables, when the input data is a tree or has bounded treewidth, there are efficient enumeration algorithms to produce the set of all solutions, [6] ensuring that the input data is preprocessed in linear time and that each solution is then produced in a delay linear in the size of each solution, i.e., constant ...

  3. Logic of graphs - Wikipedia

    en.wikipedia.org/wiki/Logic_of_graphs

    The graph shown here appears as a subgraph of an undirected graph if and only if models the sentence ,,,... In the first-order logic of graphs, a graph property is expressed as a quantified logical sentence whose variables represent graph vertices, with predicates for equality and adjacency testing.

  4. File:Graph level structure.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Graph_level_structure.pdf

    Graph_level_structure.pdf (685 × 283 pixels, file size: 65 KB, MIME type: application/pdf) This is a file from the Wikimedia Commons . Information from its description page there is shown below.

  5. Graph (abstract data type) - Wikipedia

    en.wikipedia.org/wiki/Graph_(abstract_data_type)

    In computer science, a graph is an abstract data type that is meant to implement the undirected graph and directed graph concepts from the field of graph theory within mathematics. A graph data structure consists of a finite (and possibly mutable) set of vertices (also called nodes or points ), together with a set of unordered pairs of these ...

  6. Courcelle's theorem - Wikipedia

    en.wikipedia.org/wiki/Courcelle's_theorem

    In one variation of monadic second-order graph logic known as MSO 1, the graph is described by a set of vertices and a binary adjacency relation ⁡ (.,.), and the restriction to monadic logic means that the graph property in question may be defined in terms of sets of vertices of the given graph, but not in terms of sets of edges, or sets of tuples of vertices.

  7. Graph (discrete mathematics) - Wikipedia

    en.wikipedia.org/wiki/Graph_(discrete_mathematics)

    A graph with three vertices and three edges. A graph (sometimes called an undirected graph to distinguish it from a directed graph, or a simple graph to distinguish it from a multigraph) [4] [5] is a pair G = (V, E), where V is a set whose elements are called vertices (singular: vertex), and E is a set of unordered pairs {,} of vertices, whose elements are called edges (sometimes links or lines).

  8. Graph operations - Wikipedia

    en.wikipedia.org/wiki/Graph_operations

    graph intersection: G 1 ∩ G 2 = (V 1 ∩ V 2, E 1 ∩ E 2); [1] graph join: . Graph with all the edges that connect the vertices of the first graph with the vertices of the second graph. It is a commutative operation (for unlabelled graphs); [2] graph products based on the cartesian product of the vertex sets:

  9. Level structure - Wikipedia

    en.wikipedia.org/wiki/Level_structure

    An example for an undirected Graph with a vertex r and its corresponding level structure For the concept in algebraic geometry, see level structure (algebraic geometry) In the mathematical subfield of graph theory a level structure of a rooted graph is a partition of the vertices into subsets that have the same distance from a given root vertex.