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diff --git a/src/bdd/cudd/cuddMatMult.c b/src/bdd/cudd/cuddMatMult.c
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-/**CFile***********************************************************************
-
- FileName [cuddMatMult.c]
-
- PackageName [cudd]
-
- Synopsis [Matrix multiplication functions.]
-
- Description [External procedures included in this module:
- <ul>
- <li> Cudd_addMatrixMultiply()
- <li> Cudd_addTimesPlus()
- <li> Cudd_addTriangle()
- <li> Cudd_addOuterSum()
- </ul>
- Static procedures included in this module:
- <ul>
- <li> addMMRecur()
- <li> addTriangleRecur()
- <li> cuddAddOuterSumRecur()
- </ul>]
-
- Author [Fabio Somenzi]
-
- Copyright [This file was created at the University of Colorado at
- Boulder. The University of Colorado at Boulder makes no warranty
- about the suitability of this software for any purpose. It is
- presented on an AS IS basis.]
-
-******************************************************************************/
-
-#include "util_hack.h"
-#include "cuddInt.h"
-
-
-/*---------------------------------------------------------------------------*/
-/* Constant declarations */
-/*---------------------------------------------------------------------------*/
-
-
-/*---------------------------------------------------------------------------*/
-/* Stucture declarations */
-/*---------------------------------------------------------------------------*/
-
-
-/*---------------------------------------------------------------------------*/
-/* Type declarations */
-/*---------------------------------------------------------------------------*/
-
-
-/*---------------------------------------------------------------------------*/
-/* Variable declarations */
-/*---------------------------------------------------------------------------*/
-
-#ifndef lint
-static char rcsid[] DD_UNUSED = "$Id: cuddMatMult.c,v 1.1.1.1 2003/02/24 22:23:52 wjiang Exp $";
-#endif
-
-/*---------------------------------------------------------------------------*/
-/* Macro declarations */
-/*---------------------------------------------------------------------------*/
-
-
-/**AutomaticStart*************************************************************/
-
-/*---------------------------------------------------------------------------*/
-/* Static function prototypes */
-/*---------------------------------------------------------------------------*/
-
-static DdNode * addMMRecur ARGS((DdManager *dd, DdNode *A, DdNode *B, int topP, int *vars));
-static DdNode * addTriangleRecur ARGS((DdManager *dd, DdNode *f, DdNode *g, int *vars, DdNode *cube));
-static DdNode * cuddAddOuterSumRecur ARGS((DdManager *dd, DdNode *M, DdNode *r, DdNode *c));
-
-/**AutomaticEnd***************************************************************/
-
-
-/*---------------------------------------------------------------------------*/
-/* Definition of exported functions */
-/*---------------------------------------------------------------------------*/
-
-/**Function********************************************************************
-
- Synopsis [Calculates the product of two matrices represented as
- ADDs.]
-
- Description [Calculates the product of two matrices, A and B,
- represented as ADDs. This procedure implements the quasiring multiplication
- algorithm. A is assumed to depend on variables x (rows) and z
- (columns). B is assumed to depend on variables z (rows) and y
- (columns). The product of A and B then depends on x (rows) and y
- (columns). Only the z variables have to be explicitly identified;
- they are the "summation" variables. Returns a pointer to the
- result if successful; NULL otherwise.]
-
- SideEffects [None]
-
- SeeAlso [Cudd_addTimesPlus Cudd_addTriangle Cudd_bddAndAbstract]
-
-******************************************************************************/
-DdNode *
-Cudd_addMatrixMultiply(
- DdManager * dd,
- DdNode * A,
- DdNode * B,
- DdNode ** z,
- int nz)
-{
- int i, nvars, *vars;
- DdNode *res;
-
- /* Array vars says what variables are "summation" variables. */
- nvars = dd->size;
- vars = ALLOC(int,nvars);
- if (vars == NULL) {
- dd->errorCode = CUDD_MEMORY_OUT;
- return(NULL);
- }
- for (i = 0; i < nvars; i++) {
- vars[i] = 0;
- }
- for (i = 0; i < nz; i++) {
- vars[z[i]->index] = 1;
- }
-
- do {
- dd->reordered = 0;
- res = addMMRecur(dd,A,B,-1,vars);
- } while (dd->reordered == 1);
- FREE(vars);
- return(res);
-
-} /* end of Cudd_addMatrixMultiply */
-
-
-/**Function********************************************************************
-
- Synopsis [Calculates the product of two matrices represented as
- ADDs.]
-
- Description [Calculates the product of two matrices, A and B,
- represented as ADDs, using the CMU matrix by matrix multiplication
- procedure by Clarke et al.. Matrix A has x's as row variables and z's
- as column variables, while matrix B has z's as row variables and y's
- as column variables. Returns the pointer to the result if successful;
- NULL otherwise. The resulting matrix has x's as row variables and y's
- as column variables.]
-
- SideEffects [None]
-
- SeeAlso [Cudd_addMatrixMultiply]
-
-******************************************************************************/
-DdNode *
-Cudd_addTimesPlus(
- DdManager * dd,
- DdNode * A,
- DdNode * B,
- DdNode ** z,
- int nz)
-{
- DdNode *w, *cube, *tmp, *res;
- int i;
- tmp = Cudd_addApply(dd,Cudd_addTimes,A,B);
- if (tmp == NULL) return(NULL);
- Cudd_Ref(tmp);
- Cudd_Ref(cube = DD_ONE(dd));
- for (i = nz-1; i >= 0; i--) {
- w = Cudd_addIte(dd,z[i],cube,DD_ZERO(dd));
- if (w == NULL) {
- Cudd_RecursiveDeref(dd,tmp);
- return(NULL);
- }
- Cudd_Ref(w);
- Cudd_RecursiveDeref(dd,cube);
- cube = w;
- }
- res = Cudd_addExistAbstract(dd,tmp,cube);
- if (res == NULL) {
- Cudd_RecursiveDeref(dd,tmp);
- Cudd_RecursiveDeref(dd,cube);
- return(NULL);
- }
- Cudd_Ref(res);
- Cudd_RecursiveDeref(dd,cube);
- Cudd_RecursiveDeref(dd,tmp);
- Cudd_Deref(res);
- return(res);
-
-} /* end of Cudd_addTimesPlus */
-
-
-/**Function********************************************************************
-
- Synopsis [Performs the triangulation step for the shortest path
- computation.]
-
- Description [Implements the semiring multiplication algorithm used in
- the triangulation step for the shortest path computation. f
- is assumed to depend on variables x (rows) and z (columns). g is
- assumed to depend on variables z (rows) and y (columns). The product
- of f and g then depends on x (rows) and y (columns). Only the z
- variables have to be explicitly identified; they are the
- "abstraction" variables. Returns a pointer to the result if
- successful; NULL otherwise. ]
-
- SideEffects [None]
-
- SeeAlso [Cudd_addMatrixMultiply Cudd_bddAndAbstract]
-
-******************************************************************************/
-DdNode *
-Cudd_addTriangle(
- DdManager * dd,
- DdNode * f,
- DdNode * g,
- DdNode ** z,
- int nz)
-{
- int i, nvars, *vars;
- DdNode *res, *cube;
-
- nvars = dd->size;
- vars = ALLOC(int, nvars);
- if (vars == NULL) {
- dd->errorCode = CUDD_MEMORY_OUT;
- return(NULL);
- }
- for (i = 0; i < nvars; i++) vars[i] = -1;
- for (i = 0; i < nz; i++) vars[z[i]->index] = i;
- cube = Cudd_addComputeCube(dd, z, NULL, nz);
- if (cube == NULL) {
- FREE(vars);
- return(NULL);
- }
- cuddRef(cube);
-
- do {
- dd->reordered = 0;
- res = addTriangleRecur(dd, f, g, vars, cube);
- } while (dd->reordered == 1);
- if (res != NULL) cuddRef(res);
- Cudd_RecursiveDeref(dd,cube);
- if (res != NULL) cuddDeref(res);
- FREE(vars);
- return(res);
-
-} /* end of Cudd_addTriangle */
-
-
-/**Function********************************************************************
-
- Synopsis [Takes the minimum of a matrix and the outer sum of two vectors.]
-
- Description [Takes the pointwise minimum of a matrix and the outer
- sum of two vectors. This procedure is used in the Floyd-Warshall
- all-pair shortest path algorithm. Returns a pointer to the result if
- successful; NULL otherwise.]
-
- SideEffects [None]
-
- SeeAlso []
-
-******************************************************************************/
-DdNode *
-Cudd_addOuterSum(
- DdManager *dd,
- DdNode *M,
- DdNode *r,
- DdNode *c)
-{
- DdNode *res;
-
- do {
- dd->reordered = 0;
- res = cuddAddOuterSumRecur(dd, M, r, c);
- } while (dd->reordered == 1);
- return(res);
-
-} /* end of Cudd_addOuterSum */
-
-
-/*---------------------------------------------------------------------------*/
-/* Definition of internal functions */
-/*---------------------------------------------------------------------------*/
-
-
-/*---------------------------------------------------------------------------*/
-/* Definition of static functions */
-/*---------------------------------------------------------------------------*/
-
-/**Function********************************************************************
-
- Synopsis [Performs the recursive step of Cudd_addMatrixMultiply.]
-
- Description [Performs the recursive step of Cudd_addMatrixMultiply.
- Returns a pointer to the result if successful; NULL otherwise.]
-
- SideEffects [None]
-
-******************************************************************************/
-static DdNode *
-addMMRecur(
- DdManager * dd,
- DdNode * A,
- DdNode * B,
- int topP,
- int * vars)
-{
- DdNode *zero,
- *At, /* positive cofactor of first operand */
- *Ae, /* negative cofactor of first operand */
- *Bt, /* positive cofactor of second operand */
- *Be, /* negative cofactor of second operand */
- *t, /* positive cofactor of result */
- *e, /* negative cofactor of result */
- *scaled, /* scaled result */
- *add_scale, /* ADD representing the scaling factor */
- *res;
- int i; /* loop index */
- double scale; /* scaling factor */
- int index; /* index of the top variable */
- CUDD_VALUE_TYPE value;
- unsigned int topA, topB, topV;
- DdNode *(*cacheOp)(DdManager *, DdNode *, DdNode *);
-
- statLine(dd);
- zero = DD_ZERO(dd);
-
- if (A == zero || B == zero) {
- return(zero);
- }
-
- if (cuddIsConstant(A) && cuddIsConstant(B)) {
- /* Compute the scaling factor. It is 2^k, where k is the
- ** number of summation variables below the current variable.
- ** Indeed, these constants represent blocks of 2^k identical
- ** constant values in both A and B.
- */
- value = cuddV(A) * cuddV(B);
- for (i = 0; i < dd->size; i++) {
- if (vars[i]) {
- if (dd->perm[i] > topP) {
- value *= (CUDD_VALUE_TYPE) 2;
- }
- }
- }
- res = cuddUniqueConst(dd, value);
- return(res);
- }
-
- /* Standardize to increase cache efficiency. Clearly, A*B != B*A
- ** in matrix multiplication. However, which matrix is which is
- ** determined by the variables appearing in the ADDs and not by
- ** which one is passed as first argument.
- */
- if (A > B) {
- DdNode *tmp = A;
- A = B;
- B = tmp;
- }
-
- topA = cuddI(dd,A->index); topB = cuddI(dd,B->index);
- topV = ddMin(topA,topB);
-
- cacheOp = (DdNode *(*)(DdManager *, DdNode *, DdNode *)) addMMRecur;
- res = cuddCacheLookup2(dd,cacheOp,A,B);
- if (res != NULL) {
- /* If the result is 0, there is no need to normalize.
- ** Otherwise we count the number of z variables between
- ** the current depth and the top of the ADDs. These are
- ** the missing variables that determine the size of the
- ** constant blocks.
- */
- if (res == zero) return(res);
- scale = 1.0;
- for (i = 0; i < dd->size; i++) {
- if (vars[i]) {
- if (dd->perm[i] > topP && (unsigned) dd->perm[i] < topV) {
- scale *= 2;
- }
- }
- }
- if (scale > 1.0) {
- cuddRef(res);
- add_scale = cuddUniqueConst(dd,(CUDD_VALUE_TYPE)scale);
- if (add_scale == NULL) {
- Cudd_RecursiveDeref(dd, res);
- return(NULL);
- }
- cuddRef(add_scale);
- scaled = cuddAddApplyRecur(dd,Cudd_addTimes,res,add_scale);
- if (scaled == NULL) {
- Cudd_RecursiveDeref(dd, add_scale);
- Cudd_RecursiveDeref(dd, res);
- return(NULL);
- }
- cuddRef(scaled);
- Cudd_RecursiveDeref(dd, add_scale);
- Cudd_RecursiveDeref(dd, res);
- res = scaled;
- cuddDeref(res);
- }
- return(res);
- }
-
- /* compute the cofactors */
- if (topV == topA) {
- At = cuddT(A);
- Ae = cuddE(A);
- } else {
- At = Ae = A;
- }
- if (topV == topB) {
- Bt = cuddT(B);
- Be = cuddE(B);
- } else {
- Bt = Be = B;
- }
-
- t = addMMRecur(dd, At, Bt, (int)topV, vars);
- if (t == NULL) return(NULL);
- cuddRef(t);
- e = addMMRecur(dd, Ae, Be, (int)topV, vars);
- if (e == NULL) {
- Cudd_RecursiveDeref(dd, t);
- return(NULL);
- }
- cuddRef(e);
-
- index = dd->invperm[topV];
- if (vars[index] == 0) {
- /* We have split on either the rows of A or the columns
- ** of B. We just need to connect the two subresults,
- ** which correspond to two submatrices of the result.
- */
- res = (t == e) ? t : cuddUniqueInter(dd,index,t,e);
- if (res == NULL) {
- Cudd_RecursiveDeref(dd, t);
- Cudd_RecursiveDeref(dd, e);
- return(NULL);
- }
- cuddRef(res);
- cuddDeref(t);
- cuddDeref(e);
- } else {
- /* we have simultaneously split on the columns of A and
- ** the rows of B. The two subresults must be added.
- */
- res = cuddAddApplyRecur(dd,Cudd_addPlus,t,e);
- if (res == NULL) {
- Cudd_RecursiveDeref(dd, t);
- Cudd_RecursiveDeref(dd, e);
- return(NULL);
- }
- cuddRef(res);
- Cudd_RecursiveDeref(dd, t);
- Cudd_RecursiveDeref(dd, e);
- }
-
- cuddCacheInsert2(dd,cacheOp,A,B,res);
-
- /* We have computed (and stored in the computed table) a minimal
- ** result; that is, a result that assumes no summation variables
- ** between the current depth of the recursion and its top
- ** variable. We now take into account the z variables by properly
- ** scaling the result.
- */
- if (res != zero) {
- scale = 1.0;
- for (i = 0; i < dd->size; i++) {
- if (vars[i]) {
- if (dd->perm[i] > topP && (unsigned) dd->perm[i] < topV) {
- scale *= 2;
- }
- }
- }
- if (scale > 1.0) {
- add_scale = cuddUniqueConst(dd,(CUDD_VALUE_TYPE)scale);
- if (add_scale == NULL) {
- Cudd_RecursiveDeref(dd, res);
- return(NULL);
- }
- cuddRef(add_scale);
- scaled = cuddAddApplyRecur(dd,Cudd_addTimes,res,add_scale);
- if (scaled == NULL) {
- Cudd_RecursiveDeref(dd, res);
- Cudd_RecursiveDeref(dd, add_scale);
- return(NULL);
- }
- cuddRef(scaled);
- Cudd_RecursiveDeref(dd, add_scale);
- Cudd_RecursiveDeref(dd, res);
- res = scaled;
- }
- }
- cuddDeref(res);
- return(res);
-
-} /* end of addMMRecur */
-
-
-/**Function********************************************************************
-
- Synopsis [Performs the recursive step of Cudd_addTriangle.]
-
- Description [Performs the recursive step of Cudd_addTriangle. Returns
- a pointer to the result if successful; NULL otherwise.]
-
- SideEffects [None]
-
-******************************************************************************/
-static DdNode *
-addTriangleRecur(
- DdManager * dd,
- DdNode * f,
- DdNode * g,
- int * vars,
- DdNode *cube)
-{
- DdNode *fv, *fvn, *gv, *gvn, *t, *e, *res;
- CUDD_VALUE_TYPE value;
- int top, topf, topg, index;
-
- statLine(dd);
- if (f == DD_PLUS_INFINITY(dd) || g == DD_PLUS_INFINITY(dd)) {
- return(DD_PLUS_INFINITY(dd));
- }
-
- if (cuddIsConstant(f) && cuddIsConstant(g)) {
- value = cuddV(f) + cuddV(g);
- res = cuddUniqueConst(dd, value);
- return(res);
- }
- if (f < g) {
- DdNode *tmp = f;
- f = g;
- g = tmp;
- }
-
- if (f->ref != 1 || g->ref != 1) {
- res = cuddCacheLookup(dd, DD_ADD_TRIANGLE_TAG, f, g, cube);
- if (res != NULL) {
- return(res);
- }
- }
-
- topf = cuddI(dd,f->index); topg = cuddI(dd,g->index);
- top = ddMin(topf,topg);
-
- if (top == topf) {fv = cuddT(f); fvn = cuddE(f);} else {fv = fvn = f;}
- if (top == topg) {gv = cuddT(g); gvn = cuddE(g);} else {gv = gvn = g;}
-
- t = addTriangleRecur(dd, fv, gv, vars, cube);
- if (t == NULL) return(NULL);
- cuddRef(t);
- e = addTriangleRecur(dd, fvn, gvn, vars, cube);
- if (e == NULL) {
- Cudd_RecursiveDeref(dd, t);
- return(NULL);
- }
- cuddRef(e);
-
- index = dd->invperm[top];
- if (vars[index] < 0) {
- res = (t == e) ? t : cuddUniqueInter(dd,index,t,e);
- if (res == NULL) {
- Cudd_RecursiveDeref(dd, t);
- Cudd_RecursiveDeref(dd, e);
- return(NULL);
- }
- cuddDeref(t);
- cuddDeref(e);
- } else {
- res = cuddAddApplyRecur(dd,Cudd_addMinimum,t,e);
- if (res == NULL) {
- Cudd_RecursiveDeref(dd, t);
- Cudd_RecursiveDeref(dd, e);
- return(NULL);
- }
- cuddRef(res);
- Cudd_RecursiveDeref(dd, t);
- Cudd_RecursiveDeref(dd, e);
- cuddDeref(res);
- }
-
- if (f->ref != 1 || g->ref != 1) {
- cuddCacheInsert(dd, DD_ADD_TRIANGLE_TAG, f, g, cube, res);
- }
-
- return(res);
-
-} /* end of addTriangleRecur */
-
-
-/**Function********************************************************************
-
- Synopsis [Performs the recursive step of Cudd_addOuterSum.]
-
- Description [Performs the recursive step of Cudd_addOuterSum.
- Returns a pointer to the result if successful; NULL otherwise.]
-
- SideEffects [None]
-
- SeeAlso []
-
-******************************************************************************/
-static DdNode *
-cuddAddOuterSumRecur(
- DdManager *dd,
- DdNode *M,
- DdNode *r,
- DdNode *c)
-{
- DdNode *P, *R, *Mt, *Me, *rt, *re, *ct, *ce, *Rt, *Re;
- int topM, topc, topr;
- int v, index;
-
- statLine(dd);
- /* Check special cases. */
- if (r == DD_PLUS_INFINITY(dd) || c == DD_PLUS_INFINITY(dd)) return(M);
-
- if (cuddIsConstant(c) && cuddIsConstant(r)) {
- R = cuddUniqueConst(dd,Cudd_V(c)+Cudd_V(r));
- cuddRef(R);
- if (cuddIsConstant(M)) {
- if (cuddV(R) <= cuddV(M)) {
- cuddDeref(R);
- return(R);
- } else {
- Cudd_RecursiveDeref(dd,R);
- return(M);
- }
- } else {
- P = Cudd_addApply(dd,Cudd_addMinimum,R,M);
- cuddRef(P);
- Cudd_RecursiveDeref(dd,R);
- cuddDeref(P);
- return(P);
- }
- }
-
- /* Check the cache. */
- R = cuddCacheLookup(dd,DD_ADD_OUT_SUM_TAG,M,r,c);
- if (R != NULL) return(R);
-
- topM = cuddI(dd,M->index); topr = cuddI(dd,r->index);
- topc = cuddI(dd,c->index);
- v = ddMin(topM,ddMin(topr,topc));
-
- /* Compute cofactors. */
- if (topM == v) { Mt = cuddT(M); Me = cuddE(M); } else { Mt = Me = M; }
- if (topr == v) { rt = cuddT(r); re = cuddE(r); } else { rt = re = r; }
- if (topc == v) { ct = cuddT(c); ce = cuddE(c); } else { ct = ce = c; }
-
- /* Recursively solve. */
- Rt = cuddAddOuterSumRecur(dd,Mt,rt,ct);
- if (Rt == NULL) return(NULL);
- cuddRef(Rt);
- Re = cuddAddOuterSumRecur(dd,Me,re,ce);
- if (Re == NULL) {
- Cudd_RecursiveDeref(dd, Rt);
- return(NULL);
- }
- cuddRef(Re);
- index = dd->invperm[v];
- R = (Rt == Re) ? Rt : cuddUniqueInter(dd,index,Rt,Re);
- if (R == NULL) {
- Cudd_RecursiveDeref(dd, Rt);
- Cudd_RecursiveDeref(dd, Re);
- return(NULL);
- }
- cuddDeref(Rt);
- cuddDeref(Re);
-
- /* Store the result in the cache. */
- cuddCacheInsert(dd,DD_ADD_OUT_SUM_TAG,M,r,c,R);
-
- return(R);
-
-} /* end of cuddAddOuterSumRecur */