- Documentation
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- The SWI-Prolog library
- library(aggregate): Aggregation operators on backtrackable predicates
- library(apply): Apply predicates on a list
- library(assoc): Association lists
- library(broadcast): Broadcast and receive event notifications
- library(charsio): I/O on Lists of Character Codes
- library(check): Consistency checking
- library(clpb): CLP(B): Constraint Logic Programming over Boolean Variables
- library(clpfd): CLP(FD): Constraint Logic Programming over Finite Domains
- library(clpqr): Constraint Logic Programming over Rationals and Reals
- library(csv): Process CSV (Comma-Separated Values) data
- library(debug): Print debug messages and test assertions
- library(error): Error generating support
- library(gensym): Generate unique identifiers
- library(iostream): Utilities to deal with streams
- library(lists): List Manipulation
- library(main): Provide entry point for scripts
- library(nb_set): Non-backtrackable set
- library(www_browser): Activating your Web-browser
- library(option): Option list processing
- library(optparse): command line parsing
- library(ordsets): Ordered set manipulation
- library(pairs): Operations on key-value lists
- library(persistency): Provide persistent dynamic predicates
- library(pio): Pure I/O
- library(predicate_options): Declare option-processing of predicates
- library(prolog_pack): A package manager for Prolog
- library(prolog_xref): Cross-reference data collection library
- library(quasi_quotations): Define Quasi Quotation syntax
- library(random): Random numbers
- library(readutil): Reading lines, streams and files
- library(record): Access named fields in a term
- library(registry): Manipulating the Windows registry
- library(simplex): Solve linear programming problems
- library(solution_sequences): Modify solution sequences
- library(tabling): Tabled execution (SLG)
- library(thread_pool): Resource bounded thread management
- library(ugraphs): Unweighted Graphs
- library(url): Analysing and constructing URL
- library(varnumbers): Utilities for numbered terms
- library(yall): Lambda expressions
- The SWI-Prolog library
- Packages
- Reference manual
A.37 library(ugraphs): Unweighted Graphs
Authors: Richard O'Keefe & Vitor Santos CostaImplementation and documentation are copied from YAP 5.0.1. Thelibrary(ugraph)
library is based on code originally written by Richard O'Keefe. The code was then extended to be compatible with the SICStus Prolog ugraphs library. Code and documentation have been cleaned and style has been changed to be more in line with the rest of SWI-Prolog.The ugraphs library was originally released in the public domain. The YAP version is covered by the Perl Artistic license, version 2.0. This code is dual-licensed under the modified GPL as used for all SWI-Prolog libraries or the Perl Artistic license, version 2.0.
The routines assume directed graphs; undirected graphs may be implemented by using two edges.
Originally graphs were represented in two formats. The SICStus
library and this version of library(ugraphs.pl)
only use
the
S-representation. The S-representation of a graph is a list of
(vertex-neighbors) pairs, where the pairs are in standard order (as
produced by keysort) and the neighbors of each vertex are also in
standard order (as produced by sort). This form is convenient for many
calculations. Each vertex appears in the S-representation, even if it
has no neighbors.
- vertices_edges_to_ugraph(+Vertices, +Edges, -Graph)
- Given a graph with a set of Vertices and a set of Edges,
Graph must unify with the corresponding S-representation.
Note that vertices without edges will appear in Vertices but
not in
Edges. Moreover, it is sufficient for a vertex to appear in
Edges.
?- vertices_edges_to_ugraph([],[1-3,2-4,4-5,1-5], L). L = [1-[3,5], 2-[4], 3-[], 4-[5], 5-[]]
In this case all vertices are defined implicitly. The next example shows three unconnected vertices:
?- vertices_edges_to_ugraph([6,7,8],[1-3,2-4,4-5,1-5], L). L = [1-[3,5], 2-[4], 3-[], 4-[5], 5-[], 6-[], 7-[], 8-[]] ?
- vertices(+Graph, -Vertices)
- Unify Vertices with all vertices appearing in Graph.
Example:
?- vertices([1-[3,5],2-[4],3-[],4-[5],5-[]], L). L = [1, 2, 3, 4, 5]
- edges(+Graph, -Edges)
- Unify Edges with all edges appearing in Graph.
Example:
?- edges([1-[3,5],2-[4],3-[],4-[5],5-[]], L). L = [1-3, 1-5, 2-4, 4-5]
- add_vertices(+Graph, +Vertices, -NewGraph)
- Unify NewGraph with a new graph obtained by adding the list
of
Vertices to Graph. Example:
?- add_vertices([1-[3,5],2-[]], [0,1,2,9], NG). NG = [0-[], 1-[3,5], 2-[], 9-[]]
- del_vertices(+Graph, +Vertices, -NewGraph)
- Unify NewGraph with a new graph obtained by deleting the list
of
Vertices and all edges that start from or go to a vertex in
Vertices from Graph. Example:
?- del_vertices([2,1], [1-[3,5],2-[4],3-[],4-[5], 5-[],6-[],7-[2,6],8-[]], NL). NL = [3-[],4-[5],5-[],6-[],7-[6],8-[]]
- add_edges(+Graph, +Edges, -NewGraph)
- Unify NewGraph with a new graph obtained by adding the list
of
Edges to Graph. Example:
?- add_edges([1-[3,5],2-[4],3-[],4-[5], 5-[],6-[],7-[],8-[]], [1-6,2-3,3-2,5-7,3-2,4-5], NL). NL = [1-[3,5,6], 2-[3,4], 3-[2], 4-[5], 5-[7], 6-[], 7-[], 8-[]]
- del_edges(+Graph, +Edges, -NewGraph)
- Unify NewGraph with a new graph obtained by removing the list
of
Edges from Graph. Notice that no vertices are
deleted. Example:
?- del_edges([1-[3,5],2-[4],3-[],4-[5],5-[],6-[],7-[],8-[]], [1-6,2-3,3-2,5-7,3-2,4-5,1-3], NL). NL = [1-[5],2-[4],3-[],4-[],5-[],6-[],7-[],8-[]]
- transpose_ugraph(+Graph, -NewGraph)
- Unify NewGraph with a new graph obtained from Graph
by replacing all edges of the form V1-V2 by edges of the form V2-V1. The
cost is O(|V|^2). Notice that an undirected graph is its own
transpose. Example:
?- transpose_ugraph([1-[3,5],2-[4],3-[],4-[5], 5-[],6-[],7-[],8-[]], NL). NL = [1-[],2-[],3-[1],4-[2],5-[1,4],6-[],7-[],8-[]]
- neighbours(+Vertex, +Graph, -Vertices)
- Unify Vertices with the list of neighbours of vertex Vertex
in Graph. Example:
?- neighbours(4,[1-[3,5],2-[4],3-[], 4-[1,2,7,5],5-[],6-[],7-[],8-[]], NL). NL = [1,2,7,5]
- neighbors(+Vertex, +Graph, -Vertices)
- American version of neighbours/3.
- complement(+Graph, -NewGraph)
- Unify NewGraph with the graph complementary to Graph.
Example:
?- complement([1-[3,5],2-[4],3-[], 4-[1,2,7,5],5-[],6-[],7-[],8-[]], NL). NL = [1-[2,4,6,7,8],2-[1,3,5,6,7,8],3-[1,2,4,5,6,7,8], 4-[3,5,6,8],5-[1,2,3,4,6,7,8],6-[1,2,3,4,5,7,8], 7-[1,2,3,4,5,6,8],8-[1,2,3,4,5,6,7]]
- compose(+LeftGraph, +RightGraph, -NewGraph)
- Compose NewGraph by connecting the drains of LeftGraph
to the sources of RightGraph. Example:
?- compose([1-[2],2-[3]],[2-[4],3-[1,2,4]],L). L = [1-[4], 2-[1,2,4], 3-[]]
- ugraph_union(+Graph1, +Graph2, -NewGraph)
- NewGraph is the union of Graph1 and Graph2.
Example:
?- ugraph_union([1-[2],2-[3]],[2-[4],3-[1,2,4]],L). L = [1-[2], 2-[3,4], 3-[1,2,4]]
- top_sort(+Graph, -Sort)
- Generate the set of nodes Sort as a topological sorting of
Graph, if one is possible. A toplogical sort is possible if
the graph is connected and acyclic. In the example we show how
topological sorting works for a linear graph:
?- top_sort([1-[2], 2-[3], 3-[]], L). L = [1, 2, 3]
- top_sort(+Graph, -Sort0, -Sort)
- Generate the difference list Sort-Sort0 as a topological sorting of Graph, if one is possible.
- transitive_closure(+Graph, -Closure)
- Generate the graph Closure as the transitive closure of
Graph. Example:
?- transitive_closure([1-[2,3],2-[4,5],4-[6]],L). L = [1-[2,3,4,5,6], 2-[4,5,6], 4-[6]]
- reachable(+Vertex, +Graph, -Vertices)
- Unify Vertices with the set of all vertices in Graph
that are reachable from Vertex. Example:
?- reachable(1,[1-[3,5],2-[4],3-[],4-[5],5-[]],V). V = [1, 3, 5]