The minimum coloring problem is well known to be NP-hard for general graphs [8].
Our coloring heuristic recursively partitions the conflict graph until each component becomes independent.
(b) Minimum coloring of G M ′ ′, maximizing the number of single-node colors.
With only a single minimum coloring most haplotype assemblies, while long, are incorrect chimeras.
If the minimum color is larger than the maximum color, then recoloring of the current operator is performed.
The computations of maximum color from a conflict graph, minimum color from a nonconflict graph, and maximum color from a nonconflict graph are performed in a similar way.
That means: for a given measured color, the initial source color is first searched based on the rule of a minimum color distance, and then linear interpolation is applied to the local adjacent color space of the initial source color point to implement color correction.
Figure 13 The algorithm for estimating minimum color from conflict graph.
Figure 13 shows an algorithm to estimate minimum colors from a conflict graph.
Unlike exhaustive search algorithms, which can identify the global minimum, all heuristic approaches are potentially vulnerable to entrapment in local minima.
