A graph is chordal (or triangulated) if each of its cycles of four or more nodes has a chord, which is an edge joining two nodes that are not adjacent in the cycle. An equivalent definition is that any chordless cycles have at most three nodes.
is_chordal(
graph,
alpha = NULL,
alpham1 = NULL,
fillin = FALSE,
newgraph = FALSE
)The input graph. It may be directed, but edge directions are ignored, as the algorithm is defined for undirected graphs.
Numeric vector, the maximal chardinality ordering of the
vertices. If it is NULL, then it is automatically calculated by
calling max_cardinality(), or from alpham1 if
that is given..
Numeric vector, the inverse of alpha. If it is
NULL, then it is automatically calculated by calling
max_cardinality(), or from alpha.
Logical scalar, whether to calculate the fill-in edges.
Logical scalar, whether to calculate the triangulated graph.
A list with three members:
Logical scalar, it is TRUE iff the input graph is chordal.
If requested, then a numeric vector giving the fill-in edges. NULL otherwise.
If requested, then the triangulated graph, an igraph object. NULL otherwise.
The chordality of the graph is decided by first performing maximum
cardinality search on it (if the alpha and alpham1 arguments
are NULL), and then calculating the set of fill-in edges.
The set of fill-in edges is empty if and only if the graph is chordal.
It is also true that adding the fill-in edges to the graph makes it chordal.
Robert E Tarjan and Mihalis Yannakakis. (1984). Simple linear-time algorithms to test chordality of graphs, test acyclicity of hypergraphs, and selectively reduce acyclic hypergraphs. SIAM Journal of Computation 13, 566–579.
Other chordal:
max_cardinality()
## The examples from the Tarjan-Yannakakis paper
g1 <- graph_from_literal(
A - B:C:I, B - A:C:D, C - A:B:E:H, D - B:E:F,
E - C:D:F:H, F - D:E:G, G - F:H, H - C:E:G:I,
I - A:H
)
max_cardinality(g1)
#> $alpha
#> [1] 9 4 6 8 3 5 7 2 1
#>
#> $alpham1
#> + 9/9 vertices, named, from 153b043:
#> [1] G F D B E C H I A
#>
is_chordal(g1, fillin = TRUE)
#> $chordal
#> [1] FALSE
#>
#> $fillin
#> [1] 2 6 8 7 5 7 2 7 6 1 7 1
#>
#> $newgraph
#> NULL
#>
g2 <- graph_from_literal(
A - B:E, B - A:E:F:D, C - E:D:G, D - B:F:E:C:G,
E - A:B:C:D:F, F - B:D:E, G - C:D:H:I, H - G:I:J,
I - G:H:J, J - H:I
)
max_cardinality(g2)
#> $alpha
#> [1] 10 8 9 6 7 5 4 2 3 1
#>
#> $alpham1
#> + 10/10 vertices, named, from 0c86dac:
#> [1] J H I G C F D B E A
#>
is_chordal(g2, fillin = TRUE)
#> $chordal
#> [1] TRUE
#>
#> $fillin
#> numeric(0)
#>
#> $newgraph
#> NULL
#>