1 #include <polylib/polylibgmp.h>
2 #include <stdio.h> /* needed for piplib ! */
3 #include <piplib/piplibMP.h>
6 static PipMatrix
*poly2pip(Polyhedron
*P
, int exist
, int nparam
)
10 unsigned int nvar
= P
->Dimension
- exist
- nparam
;
12 matrix
= pip_matrix_alloc(P
->NbConstraints
, P
->Dimension
+2);
13 for (i
= 0; i
< P
->NbConstraints
; ++i
) {
14 value_assign(matrix
->p
[i
][0], P
->Constraint
[i
][0]);
15 for (j
= 0; j
< exist
; ++j
)
16 value_assign(matrix
->p
[i
][1+j
], P
->Constraint
[i
][1+nvar
+j
]);
17 for (j
= 0; j
< nvar
; ++j
)
18 value_assign(matrix
->p
[i
][1+exist
+j
], P
->Constraint
[i
][1+j
]);
19 for (j
= 1+exist
+nvar
; j
< P
->Dimension
+2; ++j
)
20 value_assign(matrix
->p
[i
][j
], P
->Constraint
[i
][j
]);
26 static int max_new(PipQuast
*q
, int max
, int d
, int *maxd
)
30 for (p
= q
->newparm
; p
; p
= p
->next
)
36 max
= max_new(q
->next_else
, max
, d
, maxd
);
37 max
= max_new(q
->next_then
, max
, d
, maxd
);
42 static int vectorpos2cpos(int v
, int n
, int e
, int d
, int j
)
59 * n: dimension of space in which minimum was taken
60 * i.e., number of existential vars in original problem
61 * v: number of variables in original problem
62 * e: number of extra existential variables
65 * Dimensions in the resulting domain are:
68 static void add_quast(Polyhedron
**D
, Matrix
* M
, PipQuast
*q
,
69 int i
, int v
, int n
, int e
, int d
)
73 for (p
= q
->newparm
; p
; p
= p
->next
) {
75 PipVector
*vec
= p
->vector
;
77 value_set_si(M
->p
[i
][0], 1);
78 Vector_Set(M
->p
[i
]+1, 0, d
);
80 for (j
= 0; j
< vec
->nb_elements
-1; ++j
) {
81 l
= vectorpos2cpos(v
, n
, e
, d
, j
);
82 value_assign(M
->p
[i
][l
], vec
->the_vector
[j
]);
84 l
= vectorpos2cpos(v
, n
, e
, d
, p
->rank
);
85 value_oppose(M
->p
[i
][l
], p
->deno
);
86 value_assign(M
->p
[i
][1+d
], vec
->the_vector
[j
]);
89 value_set_si(M
->p
[i
][0], 1);
90 Vector_Set(M
->p
[i
]+1, 0, d
);
92 for (j
= 0; j
< vec
->nb_elements
-1; ++j
) {
93 l
= vectorpos2cpos(v
, n
, e
, d
, j
);
94 value_oppose(M
->p
[i
][l
], vec
->the_vector
[j
]);
96 l
= vectorpos2cpos(v
, n
, e
, d
, p
->rank
);
97 value_assign(M
->p
[i
][l
], p
->deno
);
98 value_oppose(M
->p
[i
][1+d
], vec
->the_vector
[j
]);
99 value_addto(M
->p
[i
][1+d
], M
->p
[i
][1+d
], p
->deno
);
100 value_decrement(M
->p
[i
][1+d
], M
->p
[i
][1+d
]);
106 value_set_si(M
->p
[i
][0], 1);
107 Vector_Set(M
->p
[i
]+1, 0, d
);
109 for (j
= 0; j
< q
->condition
->nb_elements
-1; ++j
) {
110 int l
= vectorpos2cpos(v
, n
, e
, d
, j
);
111 value_assign(M
->p
[i
][l
], q
->condition
->the_vector
[j
]);
113 value_assign(M
->p
[i
][1+d
], q
->condition
->the_vector
[j
]);
114 add_quast(D
, M
, q
->next_then
, i
+1, v
, n
, e
, d
);
116 for (j
= 0; j
< q
->condition
->nb_elements
-1; ++j
) {
117 int l
= vectorpos2cpos(v
, n
, e
, d
, j
);
118 value_oppose(M
->p
[i
][l
], q
->condition
->the_vector
[j
]);
120 value_oppose(M
->p
[i
][1+d
], q
->condition
->the_vector
[j
]);
121 value_decrement(M
->p
[i
][1+d
], M
->p
[i
][1+d
]);
122 add_quast(D
, M
, q
->next_else
, i
+1, v
, n
, e
, d
);
123 } else if (q
->list
) {
128 for (j
= 0, l
= q
->list
; l
; ++j
, l
= l
->next
) {
129 Vector_Set(M
->p
[i
], 0, d
+1);
130 value_set_si(M
->p
[i
][1+v
+j
], -1);
132 for (k
= 0; k
< l
->vector
->nb_elements
-1; ++k
) {
133 int ll
= vectorpos2cpos(v
, n
, e
, d
, k
);
134 value_assign(M
->p
[i
][ll
], l
->vector
->the_vector
[k
]);
136 value_assign(M
->p
[i
][1+d
], l
->vector
->the_vector
[k
]);
140 C
= Matrix_Alloc(i
, 1+d
+1);
141 Vector_Copy(M
->p
[0], C
->p
[0], i
* (1+d
+1));
142 P
= Constraints2Polyhedron(C
, 0);
149 static Polyhedron
*quast2poly(PipQuast
*q
, int nvar
)
151 int nset
, nparam
, nexist
;
158 for(t
= q
; t
->condition
; t
= t
->next_then
);
159 for(nset
= 0, l
= t
->list
; l
; ++nset
, l
= l
->next
);
161 nparam
= q
->condition
? q
->condition
->nb_elements
-1 :
162 q
->list
->vector
->nb_elements
-1;
164 nexist
= max_new(q
, nparam
-1, 0, &d
) - nparam
+1;
165 rows
= nparam
+ 2 * nexist
+ d
+ nset
;
166 M
= Matrix_Alloc(rows
, 1+nset
+nexist
+nparam
+1);
167 /* All parameters are/should be positive */
168 for (i
= 0; i
< nvar
; ++i
) {
169 value_set_si(M
->p
[i
][0], 1);
170 value_set_si(M
->p
[i
][1+i
], 1);
172 for ( ; i
< nparam
; ++i
) {
173 value_set_si(M
->p
[i
][0], 1);
174 value_set_si(M
->p
[i
][1+nvar
+nset
+nexist
+i
-nvar
], 1);
177 add_quast(&D
, M
, q
, nparam
, nvar
, nset
, nexist
, nset
+nexist
+nparam
);
182 Polyhedron
*pip_lexmin(Polyhedron
*P
, int exist
, int nparam
)
186 unsigned int nvar
= P
->Dimension
- exist
- nparam
;
187 PipMatrix
*context
= pip_matrix_alloc(0, nvar
+nparam
+2);
191 domain
= poly2pip(P
, exist
, nparam
);
193 pip_matrix_print(stderr, domain);
194 pip_matrix_print(stderr, context);
197 options
= pip_options_init();
198 sol
= pip_solve(domain
, context
, -1, options
);
201 pip_quast_print(stderr, sol, 0);
204 min
= quast2poly(sol
, nvar
);
207 pip_matrix_free(context
);
208 pip_matrix_free(domain
);
209 pip_options_free(options
);