Programs in Physics & Physical Chemistry
|[Licence| Download | New Version Template] afaj_v1_0.tar.gz(218 Kbytes)|
|Manuscript Title: Improvement in global forecast for chaotic time series|
|Authors: P.R.L. Alves, L.G.S. Duarte, L.A.C.P. da Mota|
|Program title: LinMapTS|
|Catalogue identifier: AFAJ_v1_0|
Distribution format: tar.gz
|Journal reference: Comput. Phys. Commun. 207(2016)325|
|Programming language: Maple 16.|
|Computer: Any capable of running Maple.|
|Operating system: Any capable of running Maple. Tested on Windows ME, Windows XP, Windows 7.|
|RAM: 128 MB bytes|
|Keywords: Time Series Analysis, Global Fitting, Predictability, Chaos, Symbolic Computation.|
|Classification: 4.3, 4.9, 5.|
Nature of problem:
Time series analysis and improving forecast capability.
The basis of the solution method is the result published in .
Global variables X [i] are used in the generated map; If more than 2,000 vectors are employed in the global mapping the normality test is not applicable.
When many polynomial coefficients are calculated (e.g., 55) their values can be different in distinct computers. These discrepancies do not affect significantly the accuracy in forecasting.
A few seconds are required for the usual applications.
|||H. Carli, L. Duarte, L. da Mota, A maple package for improved global mapping forecast, Comp. Phts. Comm. 185(2014)1115|
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