# coloring algorithm造句

### 例句與造句

- Apply a bipartite graph edge
*coloring algorithm*to. - There are however exponential time exact edge
*coloring algorithms*that give an optimal solution. - The bound is found using improved
*coloring algorithm*. - For an ordering with this property, the greedy
*coloring algorithm*uses at most colors. - It may be the case that the graph
*coloring algorithm*fails to find a coloring of the interference graph. - It's difficult to find
*coloring algorithm*in a sentence. 用*coloring algorithm*造句挺難的 - The upper bound, proved in Heawood's original short paper, is based on a greedy
*coloring algorithm*. - In the same paper they briefly describe a linear-time five-
*coloring algorithm*, which is asymptotically optimal. - In addition to reducing time improved
*coloring algorithm*also reduces the number of steps needed to find a maximum clique. - Set of vertices " R " can now be used as input for both approximate
*coloring algorithm*and ColorSort algorithm. - In 1996, Robertson, Sanders, Seymour, and Thomas described a quadratic four-
*coloring algorithm*in their " Efficiently four-coloring planar graphs ". - Chordal graphs are perfectly orderable : an optimal coloring may be obtained by applying a greedy
*coloring algorithm*to the vertices in the reverse of a perfect elimination ordering. - However, an approximation ratio of two can be achieved by a greedy
*coloring algorithm*, because the chromatic number of a claw-free graph is greater than half its maximum degree. - He used this approach not only for 3-coloring but as part of a more general graph
*coloring algorithm*, and similar approaches to graph coloring have been refined by other authors since. - More specifically, comparability graphs are perfectly orderable graphs, a subclass of perfect graphs : a greedy
*coloring algorithm*for a topological ordering of a transitive orientation of the graph will optimally color them. - Cooper and Dasgupta recently developed a " lossy " Chaitin-Briggs graph
*coloring algorithm*suitable for use in a JIT . The " lossy " moniker refers to the imprecision the algorithm introduces into the interference graph.

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