bundled crossings revisited - kam.mff.cuni.cz

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Bundled Crossings Revisited Steven Chaplick, Thomas C. van Dijk, Myroslav Kryven, Alexander Wolff Julius-Maximilians-Universit¨ at W¨ urzburg, Germany Ji-won Park KAIST, Daejeon, Republic of Korea Alexander Ravsky Pidstryhach Institute for Applied Problems of Mechanics and Mathematics, Nat. Acad. Sciences of Ukraine, Lviv, Ukraine

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Page 1: Bundled Crossings Revisited - kam.mff.cuni.cz

Bundled Crossings Revisited

Steven Chaplick, Thomas C. van Dijk, Myroslav Kryven,Alexander Wolff

Julius-Maximilians-Universitat Wurzburg, Germany

Ji-won ParkKAIST, Daejeon, Republic of Korea

Alexander RavskyPidstryhach Institute for Applied Problems of Mechanics and Mathematics,

Nat. Acad. Sciences of Ukraine, Lviv, Ukraine

Page 2: Bundled Crossings Revisited - kam.mff.cuni.cz

Motivation

Ideally drawings of graphs should avoid crossings ...

Page 3: Bundled Crossings Revisited - kam.mff.cuni.cz

Motivation

Ideally drawings of graphs should avoid crossings ...

Planar graphs can be drawn without crossings

Page 4: Bundled Crossings Revisited - kam.mff.cuni.cz

Motivation

Ideally drawings of graphs should avoid crossings ...

Planar graphs can be drawn without crossings

but many graphs cannot be drawn without crossings.

Page 5: Bundled Crossings Revisited - kam.mff.cuni.cz

Motivation

Ideally drawings of graphs should avoid crossings ...

Planar graphs can be drawn without crossings

but many graphs cannot be drawn without crossings.

Classical problem in Graph Drawing:How to minimize the number of crossings?

Page 6: Bundled Crossings Revisited - kam.mff.cuni.cz

Motivation

Ideally drawings of graphs should avoid crossings ...

Planar graphs can be drawn without crossings

but many graphs cannot be drawn without crossings.

Classical problem in Graph Drawing:How to minimize the number of crossings?

Page 7: Bundled Crossings Revisited - kam.mff.cuni.cz

Motivation

Ideally drawings of graphs should avoid crossings ...

Planar graphs can be drawn without crossings

but many graphs cannot be drawn without crossings.

Classical problem in Graph Drawing:How to minimize the number of crossings?

Page 8: Bundled Crossings Revisited - kam.mff.cuni.cz

Motivation

Ideally drawings of graphs should avoid crossings ...

Planar graphs can be drawn without crossings

but many graphs cannot be drawn without crossings.

Classical problem in Graph Drawing:How to minimize the number of crossings?

Page 9: Bundled Crossings Revisited - kam.mff.cuni.cz

Motivation

Ideally drawings of graphs should avoid crossings ...

Planar graphs can be drawn without crossings

but many graphs cannot be drawn without crossings.

Classical problem in Graph Drawing:How to minimize the number of crossings?

Lots of different variants.

Page 10: Bundled Crossings Revisited - kam.mff.cuni.cz

Motivation

Ideally drawings of graphs should avoid crossings ...

Planar graphs can be drawn without crossings

but many graphs cannot be drawn without crossings.

Classical problem in Graph Drawing:How to minimize the number of crossings?

Lots of different variants.

Our main result concernssimple circular layouts.

simpleavoids:

Page 11: Bundled Crossings Revisited - kam.mff.cuni.cz

Motivation

Ideally drawings of graphs should avoid crossings ...

Planar graphs can be drawn without crossings

but many graphs cannot be drawn without crossings.

Classical problem in Graph Drawing:How to minimize the number of crossings?

Lots of different variants.

Our main result concernssimple circular layouts.

This talk concerns bundledcrossings, def’d next.

simpleavoids:

Page 12: Bundled Crossings Revisited - kam.mff.cuni.cz

Motivation

[Bannister, Eppstein ’14]There is an FPT algorithm for deciding whether a graph

admits a circular layout with k crossings.

Page 13: Bundled Crossings Revisited - kam.mff.cuni.cz

Motivation

[Bannister, Eppstein ’14]

[Holten ’06]

Bundle thedrawing

There is an FPT algorithm for deciding whether a graphadmits a circular layout with k crossings.

Page 14: Bundled Crossings Revisited - kam.mff.cuni.cz

Motivation

[Bannister, Eppstein ’14]

[Holten ’06]

Bundle thedrawing

There is an FPT algorithm for deciding whether a graphadmits a circular layout with k crossings.

Page 15: Bundled Crossings Revisited - kam.mff.cuni.cz

Motivation

[Bannister, Eppstein ’14]

[Holten ’06]

Bundle thedrawing

Minimize crossings of bundles instead of edges!

There is an FPT algorithm for deciding whether a graphadmits a circular layout with k crossings.

F: [Fink et al. ’16]

A: [Alam et al. ’16]

Page 16: Bundled Crossings Revisited - kam.mff.cuni.cz

Motivation

[Bannister, Eppstein ’14]

[Holten ’06]

Bundle thedrawing

Minimize crossings of bundles instead of edges!

There is an FPT algorithm for deciding whether a graphadmits a circular layout with k crossings.

F: [Fink et al. ’16]

A: [Alam et al. ’16]

gen. layouts: NP-c for fixed [F] and variable [A] embeddings.

fixed embedding: 10-apx for circular, and O(1)-apx for gen. layouts [F]

Page 17: Bundled Crossings Revisited - kam.mff.cuni.cz

Motivation

[Holten ’06]

Bundle thedrawing

Minimize crossings of bundles instead of edges!

[A]Ques.

Is there an FPT algorithm for deciding whether a graphadmits a circular layout with k bundled crossings?

F: [Fink et al. ’16]

A: [Alam et al. ’16]

gen. layouts: NP-c for fixed [F] and variable [A] embeddings.

fixed embedding: 10-apx for circular, and O(1)-apx for gen. layouts [F]

Page 18: Bundled Crossings Revisited - kam.mff.cuni.cz

Bundled Crossing

A bundle is a set of pieces ofedges that travel in parallel inthe drawing.

Page 19: Bundled Crossings Revisited - kam.mff.cuni.cz

Bundled Crossing

A bundle is a set of pieces ofedges that travel in parallel inthe drawing.

Outer edges of a bundle arecalled frame edges

Page 20: Bundled Crossings Revisited - kam.mff.cuni.cz

Bundled Crossing

A bundle is a set of pieces ofedges that travel in parallel inthe drawing.

Outer edges of a bundle arecalled frame edges

Page 21: Bundled Crossings Revisited - kam.mff.cuni.cz

Bundled Crossing

A bundle is a set of pieces ofedges that travel in parallel inthe drawing.

A bundled crosssing isa set of crossingsinside the regionbounded by the frame edges.

Outer edges of a bundle arecalled frame edges

Page 22: Bundled Crossings Revisited - kam.mff.cuni.cz

Bundled Crossing MinimizationDef. For a given graph G

the circular bundled crossing number bc◦(G ) of G isthe minimum number of bundled crossingsover all possible bundlingsof all possible simple circular layouts of G .

Page 23: Bundled Crossings Revisited - kam.mff.cuni.cz

Bundled Crossing MinimizationDef. For a given graph G

the circular bundled crossing number bc◦(G ) of G isthe minimum number of bundled crossingsover all possible bundlingsof all possible simple circular layouts of G .

Deciding whether bc◦(G ) = k is FPT in k .Thm.

resolves an open problem of [Alam et al. 2016]

Page 24: Bundled Crossings Revisited - kam.mff.cuni.cz

Bundled Crossing MinimizationDef. For a given graph G

the circular bundled crossing number bc◦(G ) of G isthe minimum number of bundled crossingsover all possible bundlingsof all possible simple circular layouts of G .

Deciding whether bc◦(G ) = k is FPT in k .Thm.

Remark on simple vs. non-simple: consider K3,3

aa′ b

b′

cc ′

a′ b

c c ′

ab′

resolves an open problem of [Alam et al. 2016]

Page 25: Bundled Crossings Revisited - kam.mff.cuni.cz

Bundled Crossing MinimizationDef. For a given graph G

the circular bundled crossing number bc◦(G ) of G isthe minimum number of bundled crossingsover all possible bundlingsof all possible simple circular layouts of G .

Deciding whether bc◦(G ) = k is FPT in k .Thm.

Remark on simple vs. non-simple: consider K3,3

Non-simple orientable graph genus [Alam et al. 2016]... more on this soon

aa′ b

b′

cc ′

a′ b

c c ′

ab′

resolves an open problem of [Alam et al. 2016]

Page 26: Bundled Crossings Revisited - kam.mff.cuni.cz

Bundled Crossing MinimizationDef. For a given graph G

the circular bundled crossing number bc◦(G ) of G isthe minimum number of bundled crossingsover all possible bundlingsof all possible simple circular layouts of G .

Deciding whether bc◦(G ) = k is FPT in k .Thm.

Other results (not covered in this talk, see the paper!):

resolves an open problem of [Alam et al. 2016]

Page 27: Bundled Crossings Revisited - kam.mff.cuni.cz

Bundled Crossing MinimizationDef. For a given graph G

the circular bundled crossing number bc◦(G ) of G isthe minimum number of bundled crossingsover all possible bundlingsof all possible simple circular layouts of G .

Deciding whether bc◦(G ) = k is FPT in k .Thm.

Other results (not covered in this talk, see the paper!):

For general layouts, on inputs (G , k), deciding whetherG has a simple drawing with k bundled crossings isNPc. For non-simple, this is FPT in k (via genus).

Thm.

For circular layouts, on inputs (G , k), deciding whetherG has a (non-simple) circular drawing with k bundledcrossings is FPT in k (via genus).

Obs.

resolves openproblem of[Fink et al.;2016]

resolves an open problem of [Alam et al. 2016]

Page 28: Bundled Crossings Revisited - kam.mff.cuni.cz

Structure of a drawing

Consider a drawingwith k bundled crossingsand observe that:

Page 29: Bundled Crossings Revisited - kam.mff.cuni.cz

Structure of a drawing

Consider a drawingwith k bundled crossingsand observe that:

• At most k bundled crossings =⇒ at most 4k frame edges.

Page 30: Bundled Crossings Revisited - kam.mff.cuni.cz

Structure of a drawing

Consider a drawingwith k bundled crossingsand observe that:

• We can “lift” the drawing onto a surface of genus k

• At most k bundled crossings =⇒ at most 4k frame edges.

Page 31: Bundled Crossings Revisited - kam.mff.cuni.cz

Structure of a drawing

Consider a drawingwith k bundled crossingsand observe that:

• We can “lift” the drawing onto a surface of genus k

• At most k bundled crossings =⇒ at most 4k frame edges.

Page 32: Bundled Crossings Revisited - kam.mff.cuni.cz

Structure of a drawing

Consider a drawingwith k bundled crossingsand observe that:

• We can “lift” the drawing onto a surface of genus k

• At most k bundled crossings =⇒ at most 4k frame edges.

Page 33: Bundled Crossings Revisited - kam.mff.cuni.cz

Structure of a drawing

Consider a drawingwith k bundled crossingsand observe that:

• We can “lift” the drawing onto a surface of genus k

• and subdivide the surface into regions.

• At most k bundled crossings =⇒ at most 4k frame edges.

Page 34: Bundled Crossings Revisited - kam.mff.cuni.cz

Structure of a drawing

Consider a drawingwith k bundled crossingsand observe that:

• Other edges/vertices of the graph partitioned into these regions.

• We can “lift” the drawing onto a surface of genus k

• and subdivide the surface into regions.

• At most k bundled crossings =⇒ at most 4k frame edges.

Page 35: Bundled Crossings Revisited - kam.mff.cuni.cz

Structure of a drawing

Consider a drawingwith k bundled crossingsand observe that:

• Other edges/vertices of the graph partitioned into these regions.

• We can “lift” the drawing onto a surface of genus k

• The graph induced by edges inside a single region has a specialouterplanar drawing.

• and subdivide the surface into regions.

• At most k bundled crossings =⇒ at most 4k frame edges.

Page 36: Bundled Crossings Revisited - kam.mff.cuni.cz

Structure of a drawing

Consider a drawingwith k bundled crossingsand observe that:

• Other edges/vertices of the graph partitioned into these regions.

• We can “lift” the drawing onto a surface of genus k

• The graph induced by edges inside a single region has a specialouterplanar drawing.

• and subdivide the surface into regions.

What if a region hasa bridge and a tunnelcorresponding tothe same bundled crossing?

• At most k bundled crossings =⇒ at most 4k frame edges.

Page 37: Bundled Crossings Revisited - kam.mff.cuni.cz

Structure of a drawing

Consider a drawingwith k bundled crossingsand observe that:

• Other edges/vertices of the graph partitioned into these regions.

• We can “lift” the drawing onto a surface of genus k

• The graph induced by edges inside a single region has a specialouterplanar drawing.

• and subdivide the surface into regions.

What if a region hasa bridge and a tunnelcorresponding tothe same bundled crossing?

Thm. A region is a topological disk.

• At most k bundled crossings =⇒ at most 4k frame edges.

Each region is a topological disk.Lem.

Page 38: Bundled Crossings Revisited - kam.mff.cuni.cz

The Algorithm

Deciding whether bc◦(G ) = kis FPT in k.

Thm.

• Guess the drawing of at most 4k frame edges and theirbundling.

Page 39: Bundled Crossings Revisited - kam.mff.cuni.cz

The Algorithm

Deciding whether bc◦(G ) = kis FPT in k.

Thm.

• Guess the drawing of at most 4k frame edges and theirbundling.

• Construct a surface of genus k and a subdivision into regions.

Page 40: Bundled Crossings Revisited - kam.mff.cuni.cz

The Algorithm

Deciding whether bc◦(G ) = kis FPT in k.

Thm.

• Guess the drawing of at most 4k frame edges and theirbundling.

• Map the edges of the graph to the guessed frame edges.

• Construct a surface of genus k and a subdivision into regions.

Page 41: Bundled Crossings Revisited - kam.mff.cuni.cz

The Algorithm

Deciding whether bc◦(G ) = kis FPT in k.

Thm.

• Guess the drawing of at most 4k frame edges and theirbundling.

• Partition the edges and vertices into the regions.

• Map the edges of the graph to the guessed frame edges.

• Construct a surface of genus k and a subdivision into regions.

Page 42: Bundled Crossings Revisited - kam.mff.cuni.cz

The Algorithm

Deciding whether bc◦(G ) = kis FPT in k.

Thm.

• Guess the drawing of at most 4k frame edges and theirbundling.

• Partition the edges and vertices into the regions.

• Test graphs in each region for a good outerplanar drawing.

• Map the edges of the graph to the guessed frame edges.

• Construct a surface of genus k and a subdivision into regions.

goodmeans it“fits” here

Page 43: Bundled Crossings Revisited - kam.mff.cuni.cz

The Algorithm

Deciding whether bc◦(G ) = kis FPT in k.

Thm.

• Guess the drawing of at most 4k frame edges and theirbundling.

• Partition the edges and vertices into the regions.

• Test graphs in each region for a good outerplanar drawing.MSO2

• Map the edges of the graph to the guessed frame edges.

• Construct a surface of genus k and a subdivision into regions.

goodmeans it“fits” here

Page 44: Bundled Crossings Revisited - kam.mff.cuni.cz

The Algorithm

Deciding whether bc◦(G ) = kis FPT in k.

Thm.

• Guess the drawing of at most 4k frame edges and theirbundling.

• Partition the edges and vertices into the regions.

• Test graphs in each region for a good outerplanar drawing.MSO2

• Map the edges of the graph to the guessed frame edges.

• Construct a surface of genus k and a subdivision into regions.

But what is MSO2 again?

goodmeans it“fits” here

Page 45: Bundled Crossings Revisited - kam.mff.cuni.cz

The Algorithm

Deciding whether bc◦(G ) = kis FPT in k.

Thm.

• Guess the drawing of at most 4k frame edges and theirbundling.

• Partition the edges and vertices into the regions.

• Test graphs in each region for a good outerplanar drawing.MSO2

• Map the edges of the graph to the guessed frame edges.

• Construct a surface of genus k and a subdivision into regions.

But what is MSO2 again?

goodmeans it“fits” here

Page 46: Bundled Crossings Revisited - kam.mff.cuni.cz

Monadic Second Order Logic (MSO2)

(∀e ∈ E )[( γ∨

i=0

e ∈ Ei

)∧(∧i 6=j

¬(e ∈ Ei ∧ e ∈ Ej))]

.

Partition(E ; E0, . . . , Eγ) =

Page 47: Bundled Crossings Revisited - kam.mff.cuni.cz

Monadic Second Order Logic (MSO2)

Thm (Courcelle): If a property P is expressed as ϕ ∈ MSO2,then for every graph G with treewidth at most t, P can betested in time O(f (t, |ϕ|)(n + m)) for a computable function f .

(∀e ∈ E )[( γ∨

i=0

e ∈ Ei

)∧(∧i 6=j

¬(e ∈ Ei ∧ e ∈ Ej))]

.

Partition(E ; E0, . . . , Eγ) =

Page 48: Bundled Crossings Revisited - kam.mff.cuni.cz

Monadic Second Order Logic (MSO2)

Thm (Courcelle): If a property P is expressed as ϕ ∈ MSO2,then for every graph G with treewidth at most t, P can betested in time O(f (t, |ϕ|)(n + m)) for a computable function f .

(∀e ∈ E )[( γ∨

i=0

e ∈ Ei

)∧(∧i 6=j

¬(e ∈ Ei ∧ e ∈ Ej))]

.

Partition(E ; E0, . . . , Eγ) =

Page 49: Bundled Crossings Revisited - kam.mff.cuni.cz

Monadic Second Order Logic (MSO2)

Thm (Courcelle): If a property P is expressed as ϕ ∈ MSO2,then for every graph G with treewidth at most t, P can betested in time O(f (t, |ϕ|)(n + m)) for a computable function f .

(∀e ∈ E )[( γ∨

i=0

e ∈ Ei

)∧(∧i 6=j

¬(e ∈ Ei ∧ e ∈ Ej))]

.

Partition(E ; E0, . . . , Eγ) =

Since our regions induce outerplanar graphs, we have treewidthat most 8k + 2 where k is the number of bundled crossings.

Page 50: Bundled Crossings Revisited - kam.mff.cuni.cz

Monadic Second Order Logic (MSO2)

Thm (Courcelle): If a property P is expressed as ϕ ∈ MSO2,then for every graph G with treewidth at most t, P can betested in time O(f (t, |ϕ|)(n + m)) for a computable function f .

(∀e ∈ E )[( γ∨

i=0

e ∈ Ei

)∧(∧i 6=j

¬(e ∈ Ei ∧ e ∈ Ej))]

.

Partition(E ; E0, . . . , Eγ) =

But, what about?• Test graphs in each region for a good outerplanar drawing.

Page 51: Bundled Crossings Revisited - kam.mff.cuni.cz

Monadic Second Order Logic (MSO2)

Thm (Courcelle): If a property P is expressed as ϕ ∈ MSO2,then for every graph G with treewidth at most t, P can betested in time O(f (t, |ϕ|)(n + m)) for a computable function f .

(∀e ∈ E )[( γ∨

i=0

e ∈ Ei

)∧(∧i 6=j

¬(e ∈ Ei ∧ e ∈ Ej))]

.

Partition(E ; E0, . . . , Eγ) =

But, what about?• Test graphs in each region for a good outerplanar drawing.

This can be stated in MSO2 via a mechanism ofMSO-definition schemes, and the Backwards TranslationTheorem [Courcelle, Engelfriet; 2012]

Page 52: Bundled Crossings Revisited - kam.mff.cuni.cz

Monadic Second Order Logic (MSO2)

Thm (Courcelle): If a property P is expressed as ϕ ∈ MSO2,then for every graph G with treewidth at most t, P can betested in time O(f (t, |ϕ|)(n + m)) for a computable function f .

(∀e ∈ E )[( γ∨

i=0

e ∈ Ei

)∧(∧i 6=j

¬(e ∈ Ei ∧ e ∈ Ej))]

.

Partition(E ; E0, . . . , Eγ) =

But, what about?• Test graphs in each region for a good outerplanar drawing.

This can be stated in MSO2 via a mechanism ofMSO-definition schemes, and the Backwards TranslationTheorem [Courcelle, Engelfriet; 2012]

It’s a

bittechnical

Page 53: Bundled Crossings Revisited - kam.mff.cuni.cz

Testing whether bc◦ = k

Deciding whether bc◦(G ) = kis FPT in k.

Thm.

• Guess the drawing of at most 4k frame edges and theirbundling.

• Partition the edges and vertices into the regions.

• Test graphs in each region for a good outerplanar drawing.

• Map the edges of the graph to the guessed frame edges.

• Construct a surface of genus k and a subdivision into regions.

Runtime:

Page 54: Bundled Crossings Revisited - kam.mff.cuni.cz

Testing whether bc◦ = k

Deciding whether bc◦(G ) = kis FPT in k.

Thm.

• Guess the drawing of at most 4k frame edges and theirbundling.

• Partition the edges and vertices into the regions.

• Test graphs in each region for a good outerplanar drawing.

• Map the edges of the graph to the guessed frame edges.

• Construct a surface of genus k and a subdivision into regions.

Runtime:

2O(k2)

2O(k2)

Page 55: Bundled Crossings Revisited - kam.mff.cuni.cz

Testing whether bc◦ = k

Deciding whether bc◦(G ) = kis FPT in k.

Thm.

• Guess the drawing of at most 4k frame edges and theirbundling.

• Partition the edges and vertices into the regions.

• Test graphs in each region for a good outerplanar drawing.MSO2

• Map the edges of the graph to the guessed frame edges.

• Construct a surface of genus k and a subdivision into regions.

Runtime:

2O(k2)f (k)(|V |+ |E |)

2O(k2)

Page 56: Bundled Crossings Revisited - kam.mff.cuni.cz

Testing whether bc◦ = k

Deciding whether bc◦(G ) = kis FPT in k.

Thm.

• Guess the drawing of at most 4k frame edges and theirbundling.

• Partition the edges and vertices into the regions.

• Test graphs in each region for a good outerplanar drawing.MSO2

• Map the edges of the graph to the guessed frame edges.

• Construct a surface of genus k and a subdivision into regions.

Runtime:

2O(k2)f (k)(|V |+ |E |)

2O(k2)

Thm. A region is a topological disk.

Recall that for correctness of thealgorithm we need to show that

Each region is a topological disk.Thm.

Page 57: Bundled Crossings Revisited - kam.mff.cuni.cz

A region is a topological disk

Proof.Each region is a topological disk.Lem.

Page 58: Bundled Crossings Revisited - kam.mff.cuni.cz

A region is a topological disk

Proof.Each region is a topological disk.Lem.

Page 59: Bundled Crossings Revisited - kam.mff.cuni.cz

A region is a topological disk

Proof.Each region is a topological disk.Lem.

Page 60: Bundled Crossings Revisited - kam.mff.cuni.cz

A region is a topological disk

Proof.Each region is a topological disk.Lem.

Page 61: Bundled Crossings Revisited - kam.mff.cuni.cz

A region is a topological disk

Proof.Each region is a topological disk.Lem.

Page 62: Bundled Crossings Revisited - kam.mff.cuni.cz

A region is a topological disk

Proof.

Stick to the right!

Each region is a topological disk.Lem.

Page 63: Bundled Crossings Revisited - kam.mff.cuni.cz

A region is a topological disk

Proof.Each region is a topological disk.Lem.

Page 64: Bundled Crossings Revisited - kam.mff.cuni.cz

A region is a topological disk

Proof.Each region is a topological disk.Lem.

Page 65: Bundled Crossings Revisited - kam.mff.cuni.cz

A region is a topological disk

Proof.Each region is a topological disk.Lem.

Page 66: Bundled Crossings Revisited - kam.mff.cuni.cz

A region is a topological disk

Proof.Each region is a topological disk.Lem.

Page 67: Bundled Crossings Revisited - kam.mff.cuni.cz

A region is a topological disk

Proof.Each region is a topological disk.Lem.

Page 68: Bundled Crossings Revisited - kam.mff.cuni.cz

A region is a topological disk

Proof.Each region is a topological disk.Lem.

Page 69: Bundled Crossings Revisited - kam.mff.cuni.cz

A region is a topological disk

hurray!Proof.Each region is a topological disk.Lem.

Page 70: Bundled Crossings Revisited - kam.mff.cuni.cz

A region is a topological disk

Proof.Each region is a topological disk.Lem.

Page 71: Bundled Crossings Revisited - kam.mff.cuni.cz

A region is a topological disk

Proof.Cannotbe completed!

follows from [Arroyo,Bensmail, Richter; 2018]

Each region is a topological disk.Lem.

Page 72: Bundled Crossings Revisited - kam.mff.cuni.cz

A region is a topological disk

Proof.Cannotbe completed!

follows from [Arroyo,Bensmail, Richter; 2018]

Each region is a topological disk.Lem.

Page 73: Bundled Crossings Revisited - kam.mff.cuni.cz

A region is a topological disk

Proof.Cannotbe completed!

follows from [Arroyo,Bensmail, Richter; 2018]

Each region is a topological disk.Lem.

Page 74: Bundled Crossings Revisited - kam.mff.cuni.cz

Open Questions

We have provided an FPT algorithm for deciding whetherbc◦(G ) = k.

Since our algorithm is based on MSO2 the runtime is

Page 75: Bundled Crossings Revisited - kam.mff.cuni.cz

Open Questions

We have provided an FPT algorithm for deciding whetherbc◦(G ) = k.

Since our algorithm is based on MSO2 the runtime is

(k)×(|V |+ |E |)

Page 76: Bundled Crossings Revisited - kam.mff.cuni.cz

Open Questions

We have provided an FPT algorithm for deciding whetherbc◦(G ) = k.

Since our algorithm is based on MSO2 the runtime is

Question 1Is there a faster FPT algorithm for deciding whetherbc◦(G ) = k?

(k)×(|V |+ |E |)

Page 77: Bundled Crossings Revisited - kam.mff.cuni.cz

Open Questions

We have provided an FPT algorithm for deciding whetherbc◦(G ) = k.

Since our algorithm is based on MSO2 the runtime is

Question 1Is there a faster FPT algorithm for deciding whetherbc◦(G ) = k?

Question 2Is deciding whether bc◦(G ) = k NP-hard?

(k)×(|V |+ |E |)

Page 78: Bundled Crossings Revisited - kam.mff.cuni.cz

Open Questions

We have provided an FPT algorithm for deciding whetherbc◦(G ) = k.

Since our algorithm is based on MSO2 the runtime is

Question 1Is there a faster FPT algorithm for deciding whetherbc◦(G ) = k?

Question 2Is deciding whether bc◦(G ) = k NP-hard?

(k)×(|V |+ |E |)

Question 3Is bundle crossing min. also FPT for general simple layouts?