Robust causal inference using
directed acyclic graphs: the R package 'dagitty'.
a)
Directed acyclic graph (DAG) for coexposure amplification bias.
Some tasks need the data generated by the other tasks; hence, there will be precedence constraints among tasks, and the problem can be modeled using a
directed acyclic graph (DAG) so-called task graph.
Here, task scheduling of an application program is represented by a
directed acyclic graph (DAG).
Moreover, in TMSCRO, the concept of constrained critical paths (CCPs) [5] and constrained-criticalpath
directed acyclic graph (CCPDAG) are applied to creating initial population in order to speed up the convergence of TMSCRO.
In order to further reduce network congestion, this paper proposes a
directed acyclic graph (DAG) based multipath routing algorithm.
BN is a graphical model whose basic elements are nodes and set of directed links between multiple nodes that creates a
directed acyclic graph (DAG) [12].
A Destination-Oriented
Directed Acyclic Graph (DODAG) is a term used in [1] to describe a
directed acyclic graph with exactly one root, where a root is a node which has no outgoing edges.