A box-assisted parallel algorithm to compute the correlation dimension from a time series
Academic Article
Publication Date:
1996
abstract:
The proposed parallel algorithm computes the Correlation Dimension from a time series generated by a dynamical system, using a box-assisted approach and a virtual shared memory model.
The algorithm is tested on a cluster of workstations; it shows good performance and allows the efficient computation of D2 also for high-dimensional systems, when an extremely large number of points is needed.
Iris type:
01.01 Articolo in rivista
Keywords:
parallel algorithms; nonlinear time series analysis; Correlation Dimension computation; box-assisted approach; Virtual Shared Memory
List of contributors: