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  2. Greedy coloring - Wikipedia

    en.wikipedia.org/wiki/Greedy_coloring

    In the study of graph coloring problems in mathematics and computer science, a greedy coloring or sequential coloring [1] is a coloring of the vertices of a graph formed by a greedy algorithm that considers the vertices of the graph in sequence and assigns each vertex its first available color. Greedy colorings can be found in linear time, but ...

  3. Graph coloring - Wikipedia

    en.wikipedia.org/wiki/Graph_coloring

    A coloring using at most k colors is called a (proper) k-coloring. The smallest number of colors needed to color a graph G is called its chromatic number, and is often denoted χ(G). Sometimes γ(G) is used, since χ(G) is also used to denote the Euler characteristic of a graph.

  4. DSatur - Wikipedia

    en.wikipedia.org/wiki/DSatur

    DSatur is known to be exact for bipartite graphs, [1] as well as for cycle and wheel graphs. [2] In an empirical comparison by Lewis in 2021, DSatur produced significantly better vertex colourings than the greedy algorithm on random graphs with edge probability p = 0.5 {\displaystyle p=0.5} , while in turn producing significantly worse ...

  5. DPLL algorithm - Wikipedia

    en.wikipedia.org/wiki/DPLL_algorithm

    The DPLL algorithm enhances over the backtracking algorithm by the eager use of the following rules at each step: Unit propagation If a clause is a unit clause, i.e. it contains only a single unassigned literal, this clause can only be satisfied by assigning the necessary value to make this literal true. Thus, no choice is necessary.

  6. List coloring - Wikipedia

    en.wikipedia.org/wiki/List_coloring

    Given a graph G and given a set L(v) of colors for each vertex v (called a list), a list coloring is a choice function that maps every vertex v to a color in the list L(v). As with graph coloring, a list coloring is generally assumed to be proper , meaning no two adjacent vertices receive the same color.

  7. Constraint satisfaction - Wikipedia

    en.wikipedia.org/wiki/Constraint_satisfaction

    Constraint satisfaction problems on finite domains are typically solved using a form of search. The most-used techniques are variants of backtracking , constraint propagation , and local search . These techniques are used on problems with nonlinear constraints.

  8. Edge coloring - Wikipedia

    en.wikipedia.org/wiki/Edge_coloring

    In graph theory, a proper edge coloring of a graph is an assignment of "colors" to the edges of the graph so that no two incident edges have the same color. For example, the figure to the right shows an edge coloring of a graph by the colors red, blue, and green.

  9. List edge-coloring - Wikipedia

    en.wikipedia.org/wiki/List_edge-coloring

    A list edge-coloring is a choice of a color for each edge, from its list of allowed colors; a coloring is proper if no two adjacent edges receive the same color. A graph G is k-edge-choosable if every instance of list edge-coloring that has G as its underlying graph and that provides at least k allowed colors for each edge of G has