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A Novel Path Enumeration Algorithm for Directed Acyclic Graphs

A Novel Path Enumeration Algorithm for Directed Acyclic Graphs

... graph algorithm, and we will not go into the details of it, any interested reader can go through [6] for understanding the ...for path enumeration in case of FTP and ThP type of problems becomes ... See full document

10

A Novel Approach for Resilient Multipath Routing by Using Independent Directed Acyclic Graphs

A Novel Approach for Resilient Multipath Routing by Using Independent Directed Acyclic Graphs

... independent directed acyclic graphs (IDAGs) and developed a methodology for resilient multipath routing using two ...shortest path length on the IDAGs is shorter than the average path ... See full document

6

A polynomial delay algorithm for the enumeration of bubbles with length constraints in directed graphs

A polynomial delay algorithm for the enumeration of bubbles with length constraints in directed graphs

... delay algorithm to enumerate all bubbles with length constraints in a weighted directed ...general graphs is O(n(m + n log n)) (“An O(n(m + n log n)) delay algo- rithm”) where n is the number of ... See full document

10

Multipath Routing With Directed Acyclic Graphs in MANETS

Multipath Routing With Directed Acyclic Graphs in MANETS

... independent directed acyclic graphs rooted at each ...independent directed acyclic graphs rooted at node ...Routing Algorithm (MARA) constructs a DAG that utilizes all ... See full document

8

An O(√n) Approximation and Integrality Gap for Disjoint Paths and Unsplittable Flow

An O(√n) Approximation and Integrality Gap for Disjoint Paths and Unsplittable Flow

... greedy algorithm was combined with an algorithm based on single source flow (for a special class of instances called v-separable instances) to obtain a bound of O( √ n log n) in directed ... See full document

10

Fixed parameter tractability of multicut in directed acyclic graphs

Fixed parameter tractability of multicut in directed acyclic graphs

... 3.2. Degree reduction. We now introduce the second main tool used in the algorithm (the first one being the source shadow reduction of Lemma 2.11). In an instance ( G, T , p ), let B i be the s i − t i mincut ... See full document

24

Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs

Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs

... essential graphs makes it possible to quantify the gain in ...GIES algorithm could keep up with a consistent, exponential-time DP approach maximizing the BIC ...Our novel turning phase proved to be ... See full document

56

Combining directed acyclic graphs and the change-in-estimate procedure as a novel approach to adjustment-variable selection in epidemiology

Combining directed acyclic graphs and the change-in-estimate procedure as a novel approach to adjustment-variable selection in epidemiology

... Another potential criticism is that the approach only addresses variable relationships relevant to the effect of interest, remaining agnostic about other regions of the DAG. This aims to focus on the research question at ... See full document

15

Policy-Preferred Paths in AS-level Internet Topology Graphs

Policy-Preferred Paths in AS-level Internet Topology Graphs

... policy-preferred path enumeration algorithm which discovers policy consistent paths from all ASes to a destination AS in an edge-labeled, finite, directed graph representing the Internet ... See full document

32

Reducing bias through directed acyclic graphs

Reducing bias through directed acyclic graphs

... The immediate question that always arises is how can one know the true underlying causal structure in order to draw the DAG (i.e. Step 0) – if we knew it, we wouldn't have to study the disease. Although it can be a ... See full document

15

Parallel transitive closure algorithm

Parallel transitive closure algorithm

... the algorithm using the Warshall tran- sitive closure algorithm on two Beowulf clusters using ...the algorithm never requires more than log p + 1 communication rounds and presents very promising ... See full document

6

Survey on Mining Shortest Path in Directed and Dynamic Graphs

Survey on Mining Shortest Path in Directed and Dynamic Graphs

... BFS algorithm in SGC is shown in Algorithm ...the algorithm computes for each node v the shortest distance d(v) from s to ...the algorithm iterativelycomputes the nodes with d(v) = i from ... See full document

7

Variational Message Passing

Variational Message Passing

... passing algorithm is developed, which optimises a varia- tional bound using a set of local computations for each node, together with a mechanism for pass- ing messages between the ... See full document

34

Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs

Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs

... chain graphs (representing a subset of a Markov equivalence class of ...partially directed acyclic graphs (PDAGs), which represent CPDAGs with added background ... See full document

62

Using directed acyclic graphs in epidemiological research in psychosis : an analysis of the role of bullying in psychosis

Using directed acyclic graphs in epidemiological research in psychosis : an analysis of the role of bullying in psychosis

... structure of multiple variables, visualized in DAGs. DAGs incorporate “nodes” (the specific variables being analyzed), joined by “edges,” which are lines represent- ing identified directions of effect. These conventions ... See full document

8

The Application Of Directed Graphs In Development Of Effective Standard Rubik Completion Algorithms

The Application Of Directed Graphs In Development Of Effective Standard Rubik Completion Algorithms

... [5]. Graphs can be used on a standard rubik algorithm as a point-to-point transfer so as to form a ...the graphs formed later are the ones that can solve the rubik problem after it has been ... See full document

6

Mining Knowledge Of The Directed Acyclic Graph (DAG) And Dataset Using The Hill Climbing Algorithm

Mining Knowledge Of The Directed Acyclic Graph (DAG) And Dataset Using The Hill Climbing Algorithm

... climbing algorithm to produce a rule, but use the hill climbing algorithm to first extract the most possible causal relationship (optimum) from the dataset, then from the DAG model or optimum causality ... See full document

6

On Graphs with Same Distance Distribution

On Graphs with Same Distance Distribution

... Otherwise, there exist two vertices u v V G , ∈ ( ) such that d u v ( ) , ≥ 3 . Let P be a shortest ( ) u v , -path. Then any vertex not on P is not adjacent to at least one of u and v , and the number of pairs of ... See full document

10

Dependency Parsing with an Extended Finite State Approach

Dependency Parsing with an Extended Finite State Approach

... Dijkstra’s algorithm may not be very useful, since one may need to extract the k shortest paths to select from, perhaps, later, with more- informed criteria than link length, such as lexical and statistical ...an ... See full document

30

Algorithm for 2 Vertex Connectivity in Directed Graphs

Algorithm for 2 Vertex Connectivity in Directed Graphs

... both directed and undirected ...of graphs were understood and explored well in the literature while there is insufficient research related to directed ...in directed graphs. We ... See full document

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