cudd
3.0.0
The University of Colorado Decision Diagram Package
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Symbolic shortest paths algorithms. More...
Functions | |
int | Ntr_ShortestPaths (DdManager *dd, BnetNetwork *net, NtrOptions *option) |
Computes shortest paths in a state graph. More... | |
static DdNode * | ntrBellman (DdManager *dd, DdNode *D, DdNode *source, DdNode **x, DdNode **y, int vars, int pr) |
Bellman-Ford algorithm for single-source shortest paths. More... | |
static DdNode * | ntrWarshall (DdManager *dd, DdNode *D, DdNode **x, DdNode **y, int vars, int pr) |
Floyd-Warshall algorithm for all-pair shortest paths. | |
static DdNode * | ntrSquare (DdManager *dd, DdNode *D, DdNode **x, DdNode **y, DdNode **z, int vars, int pr, int st) |
Repeated squaring algorithm for all-pairs shortest paths. More... | |
Symbolic shortest paths algorithms.
This file contains the functions that implement the symbolic version of several shortest path algorithms described in the JFM paper on ADDs.
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int Ntr_ShortestPaths | ( | DdManager * | dd, |
BnetNetwork * | net, | ||
NtrOptions * | option | ||
) |
Computes shortest paths in a state graph.
Computes shortest paths in the state transition graph of a network. Three methods are availabe:
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static |
Bellman-Ford algorithm for single-source shortest paths.
In case of multiple initial states the distance for each state is from the nearest initial state. Negative-weight cycles are detected, though only in the naive way. (Lack of convergence after nodes-1 iterations.) In such a case, a constant ADD with value minus infinity is returned. Bellman-Ford is based on matrix-vector multiplication. The matrix is the distance matrix D(x,y), such that D(a,b) is the length of the arc connecting state a to state b. The vector V(x) stores the distances of all states from the initial states. The actual vector used in the matrix-vector multiplication is diff(x), that holds those distances that have changed during the last update.
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static |
Repeated squaring algorithm for all-pairs shortest paths.
dd | manager |
D | D(z,y): distance matrix |
x | array of x variables |
y | array of y variables |
z | array of z variables |
vars | number of variables in each of the three arrays |
pr | verbosity level |
st | use the selective trace algorithm |