Greedy Graph Coloring Calculator

greedy sequential coloring

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About Greedy Graph Coloring Calculator

A greedy graph coloring calculator applying sequential vertex coloring. Uses at most Δ+1 colors (Brook's bound, except K_n and odd cycles). Ordering strategies: largest-first, smallest-last, random. Welsh-Powell algorithm. Client-side.

Greedy Graph Coloring Calculator Features

  • Greedy colors
  • Welsh-Powell
  • Ordering strategies
  • Brooks bound
  • Common graphs
Greedy coloring: process vertices in order, assign smallest available color. Uses at most Δ+1 colors. Brooks (1941): at most Δ colors unless K_n or odd cycle. Welsh-Powell: order by decreasing degree for better results.

How to Use

Select graph and ordering:

  • Greedy: Sequential assign
  • Colors: At most Δ+1
  • Order: Affects quality

Brooks' Theorem

For connected graphs: χ(G) ≤ Δ(G), except K_n and odd cycles. Greedy with right ordering achieves this. Brooks' theorem is tight: cubic graphs can need 3 colors (Petersen).

Vertex Orderings

Random: unpredictable quality. Largest-first (Welsh-Powell): sort by decreasing degree. Smallest-last (Matula): iteratively remove min-degree vertex. DSatur: choose vertex with most colored neighbors. Each gives different guarantees.

Step-by-Step Instructions

  1. 1Select graph.
  2. 2Choose ordering.
  3. 3Run greedy.
  4. 4Count colors.
  5. 5Compare to χ.

Greedy Graph Coloring Calculator — Frequently Asked Questions

Is greedy optimal?+

Not always! Greedy can use up to Δ+1 colors while χ might be much smaller. But with optimal ordering, greedy uses exactly χ colors (this optimal ordering is NP-hard to find). Practical heuristic: usually close to optimal.

What's Welsh-Powell?+

Sort vertices by decreasing degree. Color in that order. Tends to handle high-degree vertices first, reducing conflicts. Simple, O(n²) time. Often gives near-optimal results for structured graphs.

What's DSatur?+

Dynamic Saturation: at each step, color the uncolored vertex with the most distinct colors among its neighbors (highest saturation). Breaks ties by degree. Often outperforms Welsh-Powell. Optimal for bipartite graphs.

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