# Graphs

Plexus provides a flexible representation of meshes as a half-edge
graph via the `graph`

module and `MeshGraph`

type. Graphs can store arbitrary geometric data
associated with any topological structure. Unlike iterator expressions and
buffers, graphs provide efficient traversals and complex manipulation of meshes.

Note

Plexus refers to *half-edges* as *arcs*. This borrows from graph theory,
where *arc* typically refers to a directed adjacency.

`MeshGraph`

s can be created from buffers and
generators.

1 2 3 4 5 6 7 8 9 10 11 | // Create a graph of a two-dimensional quadrilateral from raw buffers. let mut graph = MeshGraph::<Point2<N64>>::from_raw_buffers( vec![Tetragon::new(0usize, 1, 2, 3)], vec![(0.0, 0.0), (1.0, 0.0), (1.0, 1.0), (0.0, 1.0)], ) .unwrap(); // Create a graph with positional data from a unit cube. let mut graph = Cube::new() .polygons::<Position<Point3<N64>>>() .collect<MeshGraph<Point3<N64>>>(); |

## Representation¶

A `MeshGraph`

is conceptually composed of *vertices*, *arcs*, *edges*, and
*faces*. The figure below summarizes the connectivity in a `MeshGraph`

.

Arcs are directed and connect vertices. An arc that is directed toward a vertex
A is an *incoming arc* with respect to A. Similarly, an arc directed away
from such a vertex is an *outgoing arc*. Every vertex is associated with exactly
one *leading arc*, which is always an outgoing arc. The vertex toward which an
arc is directed is the arc's *destination vertex* and the other is its *source
vertex*.

Every arc is paired with and connected to an *opposite arc* with an opposing
direction. Given an arc from a vertex A to a vertex B, that arc will have an
opposite arc from B to A. Such arcs are typically notated
\overrightarrow{AB} and \overrightarrow{BA}. Together, these arcs form an
*edge*, which is not directed. An edge and its two arcs are together called a
*composite edge*.

Arcs are connected to their neighbors, known as *next* and *previous arcs*. A
traversal along a series of arcs is a *path*. The path formed by traversing from
an arc to its next arc and so on is a *ring*. When a face is present within a
ring, the arcs will refer to that face and the face will refer to exactly one of
the arcs in the ring (its leading arc). An arc with no associated face is known
as a *boundary arc*. If both of an edge's arcs are boundary arcs, then that edge
is an *unbounded edge*.

A path is *closed* if it forms a loop and is *open* if it terminates. A path
over vertices A, B, and C is notated \overrightarrow{\{A, B, C\}}.

Together with vertices and faces, the connectivity of arcs allows for efficient traversals of topology. For example, it becomes trivial to find neighboring topologies, such as the faces that share a given vertex or the neighboring faces of a given face.

Warning

The `MeshGraph`

data structure has some limitations. Only
orientable compact
manifolds can be
represented. Unorientable manifolds such as MÃ¶bius
strips and non-manifold
structures such as edge fans cannot be modeled using `MeshGraph`

.

`MeshGraph`

s store topological data using associative collections and mesh data
is accessed using keys into this storage. Keys are exposed as strongly typed and
opaque values, which can be used to refer to a topological structure.

## Geometry¶

`MeshGraph`

exposes a type parameter that determines the representation of
geometry in a graph. This type must implement the `GraphGeometry`

trait, which
specifies which types are used for geometry in vertices, arcs, edges, and faces.

1 2 3 4 5 6 7 8 9 10 11 12 13 | pub struct Vertex { pub position: Point3<R64>, pub normal: Vector3<R64>, } impl GraphGeometry for Vertex { type Vertex = Self; type Arc = (); type Edge = (); type Face = (); } let mut graph = MeshGraph::<Vertex>::new(); |

Note

Most examples on this page use the `N64`

and `R64`

types from the
`decorum`

crate and the `Point2`

and
`Point3`

types from the `nalgebra`

crate for graph geometry. When the `geometry-nalgebra`

feature is enabled,
these types implement `GraphGeometry`

.

The associated types specified by a `GraphGeometry`

implementation determine the
type of the `geometry`

member exposed by views.
When set to `()`

, no geometry is present.

Geometry is vertex-based, meaning that geometric operations depend on vertex
geometry exposing some notion of positional data via the `AsPosition`

trait. If
geometry does not have this property, then geometric operations will not be
available. Read more about geometric traits and spatial operations
here.

## Topological Views¶

`MeshGraph`

s expose *views* over their topological structure (vertices, arcs,
edges, and faces). Views are obtained using keys or iteration and behave
similarly to references. They provide the primary API for interacting with a
`MeshGraph`

's topology and geometry. There are three types of views summarized
below:

Type | Traversal | Exclusive | Geometry | Topology |
---|---|---|---|---|

Immutable | Yes | No | Immutable | Immutable |

Mutable | Yes | Yes | Mutable | Mutable |

Orphan | No | No | Mutable | N/A |

*Immutable* and *mutable views* behave similarly to references: immutable views
cannot mutate a graph and are not exclusive while mutable views may mutate both
the geometry and topology of a graph but are exclusive. This example uses a view
to traverse a graph:

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | type E3 = Point3<N64>; // Create a graph with positional and normal data from a unit cube. let cube = Cube::new(); let mut graph = primitive::zip_vertices(( cube.polygons::<Position<E3>>(), cube.polygons::<Normal<E3>>(), )) .map_vertices(|(position, normal)| Vertex::new(position, normal)) .collect::<MeshGraph<Vertex>>(); // Get a view of a face and its opposite face. let face = graph.faces().nth(0).expect("cube"); let opposite = face .into_arc() .into_opposite_arc() .into_next_arc() .into_next_arc() .into_opposite_arc() .into_face() .expect("cube"); |

*Orphan views* are similar to mutable views in that they may mutate the geometry
of a graph, but they do not have access to the topology of a graph. Because they
do not know about other vertices, arcs, etc., orphan views cannot traverse a
graph in any way. These views are most useful for modifying the geometry of a
graph and, unlike mutable views, are not exclusive. Iterators over topological
structures in a graph sometimes emit orphan views.

1 2 3 4 5 6 7 8 9 | // Create a graph with positional data from a UV-sphere. let mut graph = UvSphere::new(8, 8) .polygons::<Position<Point3<f64>>>() .collect_with_indexer::<MeshGraph<Point3<f64>>, _>(LruIndexer::default()); // Scale the position data in all vertices. for mut vertex in graph.vertex_orphans() { vertex.geometry *= 2.0; } |

Immutable and mutable views are both represented by view types, such as
`FaceView`

. Orphan views are represented by orphan view types, such as
`FaceOrphan`

.

## Traversals¶

Topological views can be used to traverse a graph. Traversals are an important
feature of graphs that are not supported by iterator expressions or buffers.
Most traversals involve some notion of adjacency, but `MeshGraph`

also provides
categorical traversals.

### Conversions and Accessors¶

Conversions and accessors provide one-to-one traversals from one topological
structure to another. Conversions consume a view (via `self`

) and emit another
view. Accessors borrow a view (via `&self`

) and use that borrow to produce
another view. Accessors only expose immutable views with a limited lifetime
while conversions expose views with the same lifetime and mutability. It is
**not** possible to perform a topological
mutation using a view obtained via a
borrowing traversal (accessor).

1 2 3 4 5 | // Get a mutable view of a vertex in a graph. let vertex = graph.vertex_mut(key).unwrap(); let arc = vertex.into_outgoing_arc(); // Consumes `vertex`. `arc` is mutable. let opposite = arc.opposite_arc(); // Borrows `arc`. `opposite` is immutable. |

Conversions and accessors are distinguished using standard Rust naming
conventions. For example, `into_outgoing_arc`

is consuming and `outgoing_arc`

is
borrowing; both traverse from a vertex to its outgoing arc.

Note

Only consuming traversals preserve mutability. The `with_ref`

function can
be used with a mutable view to perform a fallible traversal that maintains
mutability and restores the originating view if the traversal fails.

### Circulators and Iterators¶

A *circulator* is a type of iterator that provides a one-to-many traversal that
examines all of the immediate neighbors of a topological structure. For example,
the face circulator of a vertex yields all faces that share that vertex in
order.

1 2 3 4 5 | for face in vertex.neighboring_faces() { for arc in face.interior_arcs() { // ... } } |

Circulators generally begin iteration from a leading arc and then traverse topology in a deterministic order from that arc. Because mutability requires orphan views, only the geometry of immediate neighbors can be mutated using circulators.

1 2 3 | for mut face in vertex.neighboring_face_orphans() { face.geometry = Color4::white(); } |

*Search traversals* visit all connected topological structures with some notion
of adjacency. Both vertices and faces can be traversed in this way to perform
searches using breadth- and depth-first ordering.

1 2 3 4 5 6 | if let Some(vertex) = vertex .traverse_by_depth() .find(|vertex| vertex.geometry == target) { // ... } |

It is possible for vertices and faces to be *disjoint*, meaning that they do not
share a path with all other vertices or faces. Therefore, these traversals are
only exhaustive with respect to the topologically connected group with which the
initiating view is associated; they do not necessarily visit every vertex or
face that is a member of a particular graph.

`MeshGraph`

s also directly expose topological structures via iterators, but
without a deterministic ordering. These categorical iterators are always
exhaustive, and visit all topological structures in a graph regardless of their
connectivity.

1 2 3 4 5 6 7 8 9 10 | let (graph, _) = MeshGraph::<Point3<f64>>::from_ply( PositionEncoding::default(), File::open("flower.ply").unwrap(), ) .unwrap(); // Modify the geometry of every vertex. for mut vertex in graph.vertex_orphans() { vertex.geometry *= 2.0; } |

Mutable iterators (including circulators) emit orphan views, because mutable views require exclusive access. To mutate topology using multiple mutable views, use an immutable circulator to collect the keys of the target topology and then lookup each mutable view using those keys.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | // Create a graph with positional data from a unit cube. let mut graph = Cube::new() .polygons::<Position<Point3<N64>>>() .collect::<MeshGraph<Point3<N64>>>(); // Collect the keys of the faces in the graph. let keys = graph .faces() .map(|face| face.key()) .collect::<ArrayVec<[_; 6]>>(); for key in keys { // Get a mutable face view for each key. // Poke each face and translate the centroid along the face's normal. let _ = graph.face_mut(key).expect("independent").poke_with_offset(0.5); } |

## Topological Mutations¶

Mutable views expose topological mutations that alter the structure of a graph. These operations are always consuming, because they often invalidate the view that initiates them.

Most mutations return a view over a modified or newly inserted topological structure that can be used to further traverse the graph. For example, splitting an arc \overrightarrow{AB} returns a vertex M that subdivides the composite edge. The leading arc of M is \overrightarrow{MB} and is a part of the same ring as the initiating arc.

1 | let vertex = arc.split_at_midpoint(); // Consumes `arc`. `vertex` is mutable. |

It is possible to downgrade mutable views into immutable views using `into_ref`

.
This can be useful when performing topological mutations, as it allows for any
number of traversals immediately after the mutation is performed.

1 2 3 4 5 6 7 8 9 10 | // Split an arc and use `into_ref` to get an immutable view. let vertex = arc.split_at_midpoint().into_ref(); // `vertex` is immutable and implements `Copy`. let source = vertex .into_outgoing_arc() .into_previous_arc() .into_source_vertex(); let destination = vertex.into_outgoing_arc().into_destination_vertex(); let span = (source, destination); |

Graphs also expose aggregate mutations that may operate over any and all topological structures.

1 2 3 4 5 6 7 8 9 10 | type E3 = Point3<N64>; let cube = Cube::new(); let mut graph = primitive::zip_vertices(( cube.polygons::<Position<E3>>(), cube.polygons::<Normal<E3>>(), )) .collect::<MeshGraph<Vertex>>(); graph.triangulate(); // Triangulates all faces in the graph. |

Topological mutations expose spatial functions for types that implement
geometric traits, such as `split_at_midpoint`

. Views also expose purely
topological functions, which can always be used (even if the geometry is
non-spatial).

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | pub enum Weight {} impl GraphGeometry for Weight { type Vertex = f64; type Arc = (); type Edge = (); type Face = (); } let mut graph = MeshGraph::<Weight>::from_raw_buffers( vec![Trigon::new(0usize, 1, 2)], vec![1.0, 2.0, 0.5], ) .expect("triangle"); let key = graph.arcs().nth(0).expect("triangle").key(); let vertex = graph.arc_mut(key).unwrap().split_with(|| 0.1); |

In the above example, `split_with`

accepts a function that returns geometry for
the subdividing vertex of the split. Similar functions exist for other
topological mutations as well, such as `poke_with`

.

## Computation vs. Payload¶

When graph geometry implements geometric traits, views expose methods to compute related attributes like normals and centroids.

1 2 3 4 5 6 7 8 | let (graph, _) = MeshGraph::<Point3<f64>>::from_ply( PositionEncoding::default(), File::open("teapot.ply").unwrap(), ) .unwrap(); // Computes the centroid of the face. let centroid = graph.faces().nth(0).unwrap().centroid(); |

These computations are based on the positional data in vertices. However, it is also possible to include these attributes in the geometry (payload) of a graph and assign arbitrary values as needed. For example, it is sometimes desirable to establish vertex normals independently of surrounding face or edge geometry.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | pub struct Vertex { pub position: Point3<R64>, pub normal: Vector3<R64>, } impl GraphGeometry for Vertex { type Vertex = Self; type Arc = (); type Edge = (); type Face = (); } let mut graph = Cube::new() .polygons::<Position<Point3<N64>>>() .map_vertices(|position| Vertex { position, normal: Unit::x(), }) .collect<MeshGraph<Vertex>>(); // Write arbitrary data to the payload. let mut vertex = graph.vertex_orphans().nth(0).unwrap(); vertex.geometry.normal = Unit::z(); |

The above example uses the `Vertex`

type to store a position and normal in each
vertex. This is distinct from computed attributes, as this normal is arbitrary
and is not recomputed when it is accessed. Applications may choose either
approach, though computation is typically preferable.

## Generic Programming¶

The `graph`

module provides traits that express the geometric capabilities of a
`MeshGraph`

. These can be used to write generic code that requires particular
geometric operations, such as computing edge midpoints. This example subdivides
a face in a mesh by splitting arcs at their midpoints:

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | pub fn circumscribe<G>(face: FaceView<&mut MeshGraph<G>, G>) -> FaceView<&mut MeshGraph<G>, G> where G: EdgeMidpoint + GraphGeometry, G::Vertex: AsPosition, { // Split each edge, stashing the vertex key and moving to the next arc. let arity = face.arity(); let mut arc = face.into_arc(); let mut splits = SmallVec::<[_; 4]>::with_capacity(arity); for _ in 0..arity { let vertex = arc.split_at_midpoint(); splits.push(vertex.key()); arc = vertex.into_outgoing_arc().into_next_arc(); } // Split faces along the vertices from each arc split. let mut face = arc.into_face().unwrap(); for (a, b) in splits.into_iter().perimeter() { face = face.split(ByKey(a), ByKey(b)).unwrap().into_face().unwrap(); } // Return the terminating face of the decomposition. face } |

These traits avoid the need to specify very complex type bounds, but it is also
possible to express type bounds directly using traits from the
`decorum`

and
`theon`

crates.

The following example expresses type bounds for a function that computes the area of faces in two-dimensional graphs:

1 2 3 4 5 6 7 8 | pub fn area<G>(face: FaceView<&MeshGraph<G>, G>) -> Scalar<VertexPosition<G>> where G: GraphGeometry, G::Vertex: AsPosition, VertexPosition<G>: EuclideanSpace + FiniteDimensional<N = U2>, { ... } |