algebraic-graphs-0.1.0: A library for algebraic graph construction and transformation

Copyright(c) Andrey Mokhov 2016-2018
LicenseMIT (see the file LICENSE)
Maintainerandrey.mokhov@gmail.com
Stabilityunstable
Safe HaskellNone
LanguageHaskell2010

Algebra.Graph.AdjacencyMap.Internal

Contents

Description

This module exposes the implementation of adjacency maps. The API is unstable and unsafe, and is exposed only for documentation. You should use the non-internal module Algebra.Graph.AdjacencyMap instead.

Synopsis

Adjacency map implementation

data AdjacencyMap a Source #

The AdjacencyMap data type represents a graph by a map of vertices to their adjacency sets. We define a Num instance as a convenient notation for working with graphs:

0           == vertex 0
1 + 2       == overlay (vertex 1) (vertex 2)
1 * 2       == connect (vertex 1) (vertex 2)
1 + 2 * 3   == overlay (vertex 1) (connect (vertex 2) (vertex 3))
1 * (2 + 3) == connect (vertex 1) (overlay (vertex 2) (vertex 3))

The Show instance is defined using basic graph construction primitives:

show (empty     :: AdjacencyMap Int) == "empty"
show (1         :: AdjacencyMap Int) == "vertex 1"
show (1 + 2     :: AdjacencyMap Int) == "vertices [1,2]"
show (1 * 2     :: AdjacencyMap Int) == "edge 1 2"
show (1 * 2 * 3 :: AdjacencyMap Int) == "edges [(1,2),(1,3),(2,3)]"
show (1 * 2 + 3 :: AdjacencyMap Int) == "overlay (vertex 3) (edge 1 2)"

The Eq instance satisfies all axioms of algebraic graphs:

  • overlay is commutative and associative:

          x + y == y + x
    x + (y + z) == (x + y) + z
  • connect is associative and has empty as the identity:

      x * empty == x
      empty * x == x
    x * (y * z) == (x * y) * z
  • connect distributes over overlay:

    x * (y + z) == x * y + x * z
    (x + y) * z == x * z + y * z
  • connect can be decomposed:

    x * y * z == x * y + x * z + y * z

The following useful theorems can be proved from the above set of axioms.

  • overlay has empty as the identity and is idempotent:

      x + empty == x
      empty + x == x
          x + x == x
  • Absorption and saturation of connect:

    x * y + x + y == x * y
        x * x * x == x * x

When specifying the time and memory complexity of graph algorithms, n and m will denote the number of vertices and edges in the graph, respectively.

Constructors

AM 

Fields

  • adjacencyMap :: !(Map a (Set a))

    The adjacency map of the graph: each vertex is associated with a set of its direct successors.

  • graphKL :: GraphKL a

    Cached King-Launchbury representation. Note: this field is for internal use only.

Instances

Eq a => Eq (AdjacencyMap a) Source # 
(Ord a, Num a) => Num (AdjacencyMap a) Source # 
(Ord a, Show a) => Show (AdjacencyMap a) Source # 
ToGraph (AdjacencyMap a) Source # 

Associated Types

type ToVertex (AdjacencyMap a) :: * Source #

Methods

toGraph :: (Graph g, (* ~ Vertex g) (ToVertex (AdjacencyMap a))) => AdjacencyMap a -> g Source #

foldg :: r -> (ToVertex (AdjacencyMap a) -> r) -> (r -> r -> r) -> (r -> r -> r) -> AdjacencyMap a -> r Source #

Ord a => Graph (AdjacencyMap a) Source # 
type ToVertex (AdjacencyMap a) Source # 
type ToVertex (AdjacencyMap a) = a
type Vertex (AdjacencyMap a) Source # 
type Vertex (AdjacencyMap a) = a

mkAM :: Ord a => Map a (Set a) -> AdjacencyMap a Source #

Construct an AdjacencyMap from a map of successor sets and (lazily) compute the corresponding King-Launchbury representation. Note: this function is for internal use only.

consistent :: Ord a => AdjacencyMap a -> Bool Source #

Check if the internal graph representation is consistent, i.e. that all edges refer to existing vertices. It should be impossible to create an inconsistent adjacency map, and we use this function in testing. Note: this function is for internal use only.

consistent empty                  == True
consistent (vertex x)             == True
consistent (overlay x y)          == True
consistent (connect x y)          == True
consistent (edge x y)             == True
consistent (edges xs)             == True
consistent (graph xs ys)          == True
consistent (fromAdjacencyList xs) == True

Interoperability with King-Launchbury graphs

data GraphKL a Source #

GraphKL encapsulates King-Launchbury graphs, which are implemented in the Data.Graph module of the containers library. Note: this data structure is for internal use only.

If mkGraphKL (adjacencyMap g) == h then the following holds:

map (fromVertexKL h) (vertices $ toGraphKL h)                               == vertexList g
map (\(x, y) -> (fromVertexKL h x, fromVertexKL h y)) (edges $ toGraphKL h) == edgeList g

Constructors

GraphKL 

Fields

mkGraphKL :: Ord a => Map a (Set a) -> GraphKL a Source #

Build GraphKL from a map of successor sets. Note: this function is for internal use only.