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  2. Adjacency list - Wikipedia

    en.wikipedia.org/wiki/Adjacency_list

    This undirected cyclic graph can be described by the three unordered lists {b, c}, {a, c}, {a, b}. In graph theory and computer science, an adjacency list is a collection of unordered lists used to represent a finite graph. Each unordered list within an adjacency list describes the set of neighbors of a particular vertex in the graph.

  3. List coloring - Wikipedia

    en.wikipedia.org/wiki/List_coloring

    The choosability (or list colorability or list chromatic number) ch(G) of a graph G is the least number k such that G is k-choosable. More generally, for a function f assigning a positive integer f(v) to each vertex v, a graph G is f-choosable (or f-list-colorable) if it has a list coloring no matter how one assigns a list of f(v) colors to ...

  4. Shortest path problem - Wikipedia

    en.wikipedia.org/wiki/Shortest_path_problem

    In graph theory, the shortest path problem is the problem of finding a path between two vertices (or nodes) in a graph such that the sum of the weights of its constituent edges is minimized. The problem of finding the shortest path between two intersections on a road map may be modeled as a special case of the shortest path problem in graphs ...

  5. Pursuit–evasion - Wikipedia

    en.wikipedia.org/wiki/Pursuit–evasion

    Pursuit–evasion. Pursuit–evasion (variants of which are referred to as cops and robbers and graph searching) is a family of problems in mathematics and computer science in which one group attempts to track down members of another group in an environment. Early work on problems of this type modeled the environment geometrically. [1]

  6. Turn-by-turn navigation - Wikipedia

    en.wikipedia.org/wiki/Turn-by-turn_navigation

    Navit turn-by-turn navigation. Turn-by-turn navigation is a feature of some satellite navigation devices where directions for a selected route are continually presented to the user in the form of spoken or visual instructions. [1] The system keeps the user up-to-date about the best route to the destination, and is often updated according to ...

  7. Strongly regular graph - Wikipedia

    en.wikipedia.org/wiki/Strongly_regular_graph

    In graph theory, a strongly regular graph ( SRG) is a regular graph G = (V, E) with v vertices and degree k such that for some given integers. every two adjacent vertices have λ common neighbours, and. every two non-adjacent vertices have μ common neighbours. Such a strongly regular graph is denoted by srg (v, k, λ, μ); its "parameters" are ...

  8. Ore's theorem - Wikipedia

    en.wikipedia.org/wiki/Ore's_theorem

    Ore's theorem is a generalization of Dirac's theorem that, when each vertex has degree at least n/2, the graph is Hamiltonian. For, if a graph meets Dirac's condition, then clearly each pair of vertices has degrees adding to at least n . In turn Ore's theorem is generalized by the Bondy–Chvátal theorem. One may define a closure operation on ...

  9. Tarjan's strongly connected components algorithm - Wikipedia

    en.wikipedia.org/wiki/Tarjan's_strongly_connected...

    Graph. Worst-case performance. Tarjan's strongly connected components algorithm is an algorithm in graph theory for finding the strongly connected components (SCCs) of a directed graph. It runs in linear time, matching the time bound for alternative methods including Kosaraju's algorithm and the path-based strong component algorithm.