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Manuscript Title: A MAPLE PACKAGE FOR IMPROVED GLOBAL MAPPING FORECAST
Authors: H. Carli, L.G.S. Duarte, L.A.C.P. da Mota
Program title: TimeS
Catalogue identifier: AERW_v1_0
Distribution format: tar.gz
Journal reference: Comput. Phys. Commun. 185(2014)1115
Programming language: Maple 14.
Computer: Any capable of running Maple.
Operating system: Any capable of running Maple. Tested on Windows ME, Windows XP, Windows 7.
RAM: 128 Megabytes
Keywords: Time Series Analysis, Global Fitting, Symbolic Computation, Forecast, Improved Forecast.
PACS: 05.45.Tp.
Classification: 4.3, 4.9, 5.

Nature of problem:
Time series analysis and improving forecast capability.

Solution method:
The method of solution is partially based on a result published in [1].

Restrictions:
If the time series that is being analyzed presents a great amount of noise or if the dynamical system behind the time series is of high dimensionality (Dim >> 3), then the method may not work well.

Unusual features:
Our implementation can, in the cases where the dynamics behind the time series is given by a system of low dimensionality, greatly improve the forecast.

Running time:
This depends strongly on the command that is being used.

References:
[1] Barbosa, L.M.C.R., Duarte, L.G.S., Linhares, C.A. and da Mota, L.A.C.P., Improving the global fitting method on nonlinear time series analysis, Phys. Rev. E 74, 026702, (2006)