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Simple graphs in granular computing [PDF]
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Computing with graphs and graph transformations
Software: Practice and Experience, 1999Many software applications require the construction and manipulation of graphs. In standard programming languages, this is accomplished using low-level mechanisms such as pointer manipulation or array indexing. In contrast, graph productions are a convenient high-level visual notation for coding graph modifications.
Dorothea Blostein, Andy Schürr
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Mathematical Logic Quarterly, 2020
AbstractWe consider topological pairs , , which have computable type, which means that they have the following property: if X is a computable topological space and a topological imbedding such that and are semicomputable sets in X, then is a computable set in X.
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AbstractWe consider topological pairs , , which have computable type, which means that they have the following property: if X is a computable topological space and a topological imbedding such that and are semicomputable sets in X, then is a computable set in X.
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Parallel computations on a graph
Programming and Computer Software, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Igor B. Bourdonov +2 more
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Kybernetes, 1976
The notion of a computation graph is introduced. A computation graph is a rooted, directed graph whose nodes are labelled by statements (instructions) to be executed. The motivation for developing computation graphs comes from a desire to represent programs by well‐defined, manipulable structures and to permit search (especially backtracking) to be a ...
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The notion of a computation graph is introduced. A computation graph is a rooted, directed graph whose nodes are labelled by statements (instructions) to be executed. The motivation for developing computation graphs comes from a desire to represent programs by well‐defined, manipulable structures and to permit search (especially backtracking) to be a ...
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Median graph computation for graph clustering
Soft Computing, 2005In this paper, we are interested in the problem of graph clustering. We propose a new algorithm for computing the median of a set of graphs. The concept of median allows the extension of conventional algorithms such as the k-means to graph clustering, helping to bridge the gap between statistical and structural approaches to pattern recognition ...
Adel Hlaoui, Shengrui Wang
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Computing the Strength of a Graph
SIAM Journal on Computing, 1991The paper presents an algorithm for computing the strength of a group, which improves the algorithm proposed by \textit{W. H. Cunningham} [J. Assoc. Comput. Mach. 32, 549-561 (1985; Zbl 0629.90034)] from \(O(V^ 4E)\) to \(O(V^ 3E)\) in complexity. The problem of computing the strength of a graph can be transformed into polymatroid form, and then it can
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Computing with Condensed Graphs
2008 International Symposium on Parallel and Distributed Computing, 2008Condensed Graphs provide a simple way of expressing complex dependencies in a program task graph or a work flow. In these graphs, nodes represent tasks and edges represent associated sequencing constraint. The sequence of task execution can be altered by altering the relationship between various nodes.
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Parallel Computations in Graph Theory
SIAM Journal on Computing, 1975In parallel computation two approaches are common; namely unbounded parallelism and bounded parallelism. In this paper both approaches will be considered. The problem of unbounded parallelism is studied in section II and some lower and upper bounds on different connectivity problems for directed and undirected graphs are presented.
Eshrat Reghbati, Derek G. Corneil
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The Various Graphs in Graph Computing
2019The world is full of relationships, and graph is the most evident representation for them. With the increasing of data scale, graphs become larger and have encountered a new world of analyzing. What can we learn from a graph? How many kinds of graphs are there? How different is graph from one area to that from another? All these questions need answers,
Rujun Sun, Lufei Zhang
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