Results 231 to 240 of about 157,967 (267)
Some of the next articles are maybe not open access.

Evolutionary dynamics on graphs

Nature, 2005
Evolutionary dynamics have been traditionally studied in the context of homogeneous or spatially extended populations. Here we generalize population structure by arranging individuals on a graph. Each vertex represents an individual. The weighted edges denote reproductive rates which govern how often individuals place offspring into adjacent vertices ...
Erez, Lieberman   +2 more
openaire   +2 more sources

Scheduling Dynamic Graphs

1999
In parallel and distributed computing scheduling low level tasks on the available hardware is a fundamental problem. Traditionally, one has assumed that the set of tasks to be executed is known beforehand. Then the scheduling constraints are given by a precedence graph. Nodes represent the elementary tasks and edges the dependencies among tasks.
Andreas Jakoby   +2 more
openaire   +1 more source

Scalable dynamic graph summarization

2016 IEEE International Conference on Big Data (Big Data), 2016
Large-scale dynamic graphs can be challenging to process and store, due to their size and the continuous change of communication patterns between nodes. In this work we address the problem of summarizing large-scale dynamic graphs, maintaining the evolution of their structure and the communication patterns.
Ioanna Tsalouchidou   +3 more
openaire   +1 more source

On the dynamics of sharing graphs

1997
We provide a characterization of fan annihilation rules of Lamping's optimal algorithm through suitable paths on the initial graphs of the evaluation. This allows to recast the computational complexity issues of the algorithm in terms of statics. The fruitfulness of the path characterization is pointed out by proving the relationship between the ...
Andrea Asperti, Cosimo Laneve
openaire   +1 more source

Dynamic Dataflow Graphs

2013
Much of the work to date on dataflow models for signal processing system design has focused on decidable dataflow models that are best suited for one-dimensional signal processing. This chapter reviews more general dataflow modeling techniques that are targeted to applications that include multidimensional signal processing and dynamic dataflow ...
Bhattacharyya, S.S.   +2 more
openaire   +2 more sources

A Dynamic location problem for graphs

Combinatorica, 1989
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fan R. K. Chung   +2 more
openaire   +1 more source

Self-Organizing Dynamic Graphs

Neural Processing Letters, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ezequiel López-Rubio   +2 more
openaire   +1 more source

Laplacian Dynamics on General Graphs

Bulletin of Mathematical Biology, 2013
In previous work, we have introduced a "linear framework" for time-scale separation in biochemical systems, which is based on a labelled, directed graph, G, and an associated linear differential equation, dx/dt = L(G) ∙ x, where L(G) is the Laplacian matrix of G. Biochemical nonlinearity is encoded in the graph labels. Many central results in molecular
Mirzaev, Inomzhon, Gunawardena, Jeremy
openaire   +2 more sources

Parsimonious flooding in dynamic graphs

Proceedings of the 28th ACM symposium on Principles of distributed computing, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
H. BAUMANN   +2 more
openaire   +4 more sources

Dynamic object process graphs

Journal of Systems and Software, 2006
A trace is a record of the execution of a computer program, showing the sequence of operations executed. A trace may be obtained through static or dynamic analysis. An object trace contains only those operations that relate to a particular object. Traces can be very large for longer system executions.
Jochen Quante, Rainer Koschke
openaire   +1 more source

Home - About - Disclaimer - Privacy