lemon-project-template-glpk

annotate deps/glpk/examples/mfvsp.mod @ 10:5545663ca997

Configure GLPK build
author Alpar Juttner <alpar@cs.elte.hu>
date Sun, 06 Nov 2011 21:42:23 +0100 (2011-11-06)
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alpar@9 1 /* MFVSP, Minimum Feedback Vertex Set Problem */
alpar@9 2
alpar@9 3 /* Written in GNU MathProg by Andrew Makhorin <mao@gnu.org> */
alpar@9 4
alpar@9 5 /* The Minimum Feedback Vertex Set Problem for a given directed graph
alpar@9 6 G = (V, E), where V is a set of vertices and E is a set of arcs, is
alpar@9 7 to find a minimal subset of vertices, which being removed from the
alpar@9 8 graph make it acyclic.
alpar@9 9
alpar@9 10 Reference:
alpar@9 11 Garey, M.R., and Johnson, D.S. (1979), Computers and Intractability:
alpar@9 12 A guide to the theory of NP-completeness [Graph Theory, Covering and
alpar@9 13 Partitioning, Minimum Feedback Vertex Set, GT8]. */
alpar@9 14
alpar@9 15 param n, integer, >= 0;
alpar@9 16 /* number of vertices */
alpar@9 17
alpar@9 18 set V, default 1..n;
alpar@9 19 /* set of vertices */
alpar@9 20
alpar@9 21 set E, within V cross V,
alpar@9 22 default setof{i in V, j in V: i <> j and Uniform(0,1) <= 0.15} (i,j);
alpar@9 23 /* set of arcs */
alpar@9 24
alpar@9 25 printf "Graph has %d vertices and %d arcs\n", card(V), card(E);
alpar@9 26
alpar@9 27 var x{i in V}, binary;
alpar@9 28 /* x[i] = 1 means that i is a feedback vertex */
alpar@9 29
alpar@9 30 /* It is known that a digraph G = (V, E) is acyclic if and only if its
alpar@9 31 vertices can be assigned numbers from 1 to |V| in such a way that
alpar@9 32 k[i] + 1 <= k[j] for every arc (i->j) in E, where k[i] is a number
alpar@9 33 assigned to vertex i. We may use this condition to require that the
alpar@9 34 digraph G = (V, E \ E'), where E' is a subset of feedback arcs, is
alpar@9 35 acyclic. */
alpar@9 36
alpar@9 37 var k{i in V}, >= 1, <= card(V);
alpar@9 38 /* k[i] is a number assigned to vertex i */
alpar@9 39
alpar@9 40 s.t. r{(i,j) in E}: k[j] - k[i] >= 1 - card(V) * (x[i] + x[j]);
alpar@9 41 /* note that x[i] = 1 or x[j] = 1 leads to a redundant constraint */
alpar@9 42
alpar@9 43 minimize obj: sum{i in V} x[i];
alpar@9 44 /* the objective is to minimize the cardinality of a subset of feedback
alpar@9 45 vertices */
alpar@9 46
alpar@9 47 solve;
alpar@9 48
alpar@9 49 printf "Minimum feedback vertex set:\n";
alpar@9 50 printf{i in V: x[i]} "%d\n", i;
alpar@9 51
alpar@9 52 data;
alpar@9 53
alpar@9 54 /* The optimal solution is 3 */
alpar@9 55
alpar@9 56 param n := 15;
alpar@9 57
alpar@9 58 set E := 1 2, 2 3, 3 4, 3 8, 4 9, 5 1, 6 5, 7 5, 8 6, 8 7, 8 9, 9 10,
alpar@9 59 10 11, 10 14, 11 15, 12 7, 12 8, 12 13, 13 8, 13 12, 13 14,
alpar@9 60 14 9, 15 14;
alpar@9 61
alpar@9 62 end;