algebraic-graphs-0.2: 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.AdjacencyIntMap.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.AdjacencyIntMap instead.

Synopsis

Adjacency map implementation

newtype AdjacencyIntMap Source #

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

Instances
Eq AdjacencyIntMap Source # 
Instance details

Defined in Algebra.Graph.AdjacencyIntMap.Internal

Num AdjacencyIntMap Source # 
Instance details

Defined in Algebra.Graph.AdjacencyIntMap.Internal

Show AdjacencyIntMap Source # 
Instance details

Defined in Algebra.Graph.AdjacencyIntMap.Internal

NFData AdjacencyIntMap Source # 
Instance details

Defined in Algebra.Graph.AdjacencyIntMap.Internal

Methods

rnf :: AdjacencyIntMap -> () #

ToGraph AdjacencyIntMap Source # 
Instance details

Defined in Algebra.Graph.ToGraph

Associated Types

type ToVertex AdjacencyIntMap :: * Source #

Methods

toGraph :: AdjacencyIntMap -> Graph (ToVertex AdjacencyIntMap) Source #

foldg :: r -> (ToVertex AdjacencyIntMap -> r) -> (r -> r -> r) -> (r -> r -> r) -> AdjacencyIntMap -> r Source #

isEmpty :: AdjacencyIntMap -> Bool Source #

size :: AdjacencyIntMap -> Int Source #

hasVertex :: ToVertex AdjacencyIntMap -> AdjacencyIntMap -> Bool Source #

hasEdge :: ToVertex AdjacencyIntMap -> ToVertex AdjacencyIntMap -> AdjacencyIntMap -> Bool Source #

vertexCount :: AdjacencyIntMap -> Int Source #

edgeCount :: AdjacencyIntMap -> Int Source #

vertexList :: AdjacencyIntMap -> [ToVertex AdjacencyIntMap] Source #

edgeList :: AdjacencyIntMap -> [(ToVertex AdjacencyIntMap, ToVertex AdjacencyIntMap)] Source #

vertexSet :: AdjacencyIntMap -> Set (ToVertex AdjacencyIntMap) Source #

vertexIntSet :: AdjacencyIntMap -> IntSet Source #

edgeSet :: AdjacencyIntMap -> Set (ToVertex AdjacencyIntMap, ToVertex AdjacencyIntMap) Source #

preSet :: ToVertex AdjacencyIntMap -> AdjacencyIntMap -> Set (ToVertex AdjacencyIntMap) Source #

preIntSet :: Int -> AdjacencyIntMap -> IntSet Source #

postSet :: ToVertex AdjacencyIntMap -> AdjacencyIntMap -> Set (ToVertex AdjacencyIntMap) Source #

postIntSet :: Int -> AdjacencyIntMap -> IntSet Source #

adjacencyList :: AdjacencyIntMap -> [(ToVertex AdjacencyIntMap, [ToVertex AdjacencyIntMap])] Source #

adjacencyMap :: AdjacencyIntMap -> Map (ToVertex AdjacencyIntMap) (Set (ToVertex AdjacencyIntMap)) Source #

adjacencyIntMap :: AdjacencyIntMap -> IntMap IntSet Source #

adjacencyMapTranspose :: AdjacencyIntMap -> Map (ToVertex AdjacencyIntMap) (Set (ToVertex AdjacencyIntMap)) Source #

adjacencyIntMapTranspose :: AdjacencyIntMap -> IntMap IntSet Source #

dfsForest :: AdjacencyIntMap -> Forest (ToVertex AdjacencyIntMap) Source #

dfsForestFrom :: [ToVertex AdjacencyIntMap] -> AdjacencyIntMap -> Forest (ToVertex AdjacencyIntMap) Source #

dfs :: [ToVertex AdjacencyIntMap] -> AdjacencyIntMap -> [ToVertex AdjacencyIntMap] Source #

reachable :: ToVertex AdjacencyIntMap -> AdjacencyIntMap -> [ToVertex AdjacencyIntMap] Source #

topSort :: AdjacencyIntMap -> Maybe [ToVertex AdjacencyIntMap] Source #

isAcyclic :: AdjacencyIntMap -> Bool Source #

toAdjacencyMap :: AdjacencyIntMap -> AdjacencyMap (ToVertex AdjacencyIntMap) Source #

toAdjacencyMapTranspose :: AdjacencyIntMap -> AdjacencyMap (ToVertex AdjacencyIntMap) Source #

toAdjacencyIntMap :: AdjacencyIntMap -> AdjacencyIntMap Source #

toAdjacencyIntMapTranspose :: AdjacencyIntMap -> AdjacencyIntMap Source #

isDfsForestOf :: Forest (ToVertex AdjacencyIntMap) -> AdjacencyIntMap -> Bool Source #

isTopSortOf :: [ToVertex AdjacencyIntMap] -> AdjacencyIntMap -> Bool Source #

Graph AdjacencyIntMap Source # 
Instance details

Defined in Algebra.Graph.Class

Associated Types

type Vertex AdjacencyIntMap :: * Source #

type ToVertex AdjacencyIntMap Source # 
Instance details

Defined in Algebra.Graph.ToGraph

type Vertex AdjacencyIntMap Source # 
Instance details

Defined in Algebra.Graph.Class

empty :: AdjacencyIntMap Source #

Construct the empty graph. Complexity: O(1) time and memory.

isEmpty     empty == True
hasVertex x empty == False
vertexCount empty == 0
edgeCount   empty == 0

vertex :: Int -> AdjacencyIntMap Source #

Construct the graph comprising a single isolated vertex. Complexity: O(1) time and memory.

isEmpty     (vertex x) == False
hasVertex x (vertex x) == True
vertexCount (vertex x) == 1
edgeCount   (vertex x) == 0

overlay :: AdjacencyIntMap -> AdjacencyIntMap -> AdjacencyIntMap Source #

Overlay two graphs. This is a commutative, associative and idempotent operation with the identity empty. Complexity: O((n + m) * log(n)) time and O(n + m) memory.

isEmpty     (overlay x y) == isEmpty   x   && isEmpty   y
hasVertex z (overlay x y) == hasVertex z x || hasVertex z y
vertexCount (overlay x y) >= vertexCount x
vertexCount (overlay x y) <= vertexCount x + vertexCount y
edgeCount   (overlay x y) >= edgeCount x
edgeCount   (overlay x y) <= edgeCount x   + edgeCount y
vertexCount (overlay 1 2) == 2
edgeCount   (overlay 1 2) == 0

connect :: AdjacencyIntMap -> AdjacencyIntMap -> AdjacencyIntMap Source #

Connect two graphs. This is an associative operation with the identity empty, which distributes over overlay and obeys the decomposition axiom. Complexity: O((n + m) * log(n)) time and O(n + m) memory. Note that the number of edges in the resulting graph is quadratic with respect to the number of vertices of the arguments: m = O(m1 + m2 + n1 * n2).

isEmpty     (connect x y) == isEmpty   x   && isEmpty   y
hasVertex z (connect x y) == hasVertex z x || hasVertex z y
vertexCount (connect x y) >= vertexCount x
vertexCount (connect x y) <= vertexCount x + vertexCount y
edgeCount   (connect x y) >= edgeCount x
edgeCount   (connect x y) >= edgeCount y
edgeCount   (connect x y) >= vertexCount x * vertexCount y
edgeCount   (connect x y) <= vertexCount x * vertexCount y + edgeCount x + edgeCount y
vertexCount (connect 1 2) == 2
edgeCount   (connect 1 2) == 1

fromAdjacencyIntSets :: [(Int, IntSet)] -> AdjacencyIntMap Source #

Construct a graph from a list of adjacency sets. Complexity: O((n + m) * log(n)) time and O(n + m) memory.

fromAdjacencyIntSets []                                           == empty
fromAdjacencyIntSets [(x, IntSet.empty)]                          == vertex x
fromAdjacencyIntSets [(x, IntSet.singleton y)]                    == edge x y
fromAdjacencyIntSets . map (fmap IntSet.fromList) . adjacencyList == id
overlay (fromAdjacencyIntSets xs) (fromAdjacencyIntSets ys)       == fromAdjacencyIntSets (xs ++ ys)

consistent :: AdjacencyIntMap -> 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 (stars xs)    == True