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  2. Transitive reduction - Wikipedia

    en.wikipedia.org/wiki/Transitive_reduction

    The transitive reduction of a finite directed graph G is a graph with the fewest possible edges that has the same reachability relation as the original graph. That is, if there is a path from a vertex x to a vertex y in graph G, there must also be a path from x to y in the transitive reduction of G, and vice versa.

  3. Directed acyclic graph - Wikipedia

    en.wikipedia.org/wiki/Directed_acyclic_graph

    The transitive closure of a DAG is the graph with the most edges that has the same reachability relation as the DAG. It has an edge u → v for every pair of vertices ( u , v ) in the reachability relation ≤ of the DAG, and may therefore be thought of as a direct translation of the reachability relation ≤ into graph-theoretic terms.

  4. Reachability - Wikipedia

    en.wikipedia.org/wiki/Reachability

    If is acyclic, then its reachability relation is a partial order; any partial order may be defined in this way, for instance as the reachability relation of its transitive reduction. [2] A noteworthy consequence of this is that since partial orders are anti-symmetric, if s {\displaystyle s} can reach t {\displaystyle t} , then we know that t ...

  5. Transitive closure - Wikipedia

    en.wikipedia.org/wiki/Transitive_closure

    The transitive closure of the adjacency relation of a directed acyclic graph (DAG) is the reachability relation of the DAG and a strict partial order. A cluster graph, the transitive closure of an undirected graph. The transitive closure of an undirected graph produces a cluster graph, a disjoint union of cliques.

  6. Partially ordered set - Wikipedia

    en.wikipedia.org/wiki/Partially_ordered_set

    Specifically, taking a strict partial order relation (, <), a directed acyclic graph (DAG) may be constructed by taking each element of to be a node and each element of < to be an edge. The transitive reduction of this DAG [b] is then the Hasse diagram. Similarly this process can be reversed to construct strict partial orders from certain DAGs.

  7. Dedekind–MacNeille completion - Wikipedia

    en.wikipedia.org/wiki/Dedekind–MacNeille...

    The transitive reduction or covering graph of the Dedekind–MacNeille completion describes the order relation between its elements in a concise way: each neighbor of a cut must remove an element of the original partial order from either the upper or lower set of the cut, so each vertex has at most n neighbors.

  8. US farm groups want Trump to spare their workers from ... - AOL

    www.aol.com/news/us-farm-groups-want-trump...

    U.S. farm industry groups want President-elect Donald Trump to spare their sector from his promise of mass deportations, which could upend a food supply chain heavily dependent on immigrants in ...

  9. Dependency graph - Wikipedia

    en.wikipedia.org/wiki/Dependency_graph

    A depends on B and C; B depends on D. Given a set of objects and a transitive relation with (,) modeling a dependency "a depends on b" ("a needs b evaluated first"), the dependency graph is a graph = (,) with the transitive reduction of R.