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iDMC 2.0.10

By Marji Lines
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iDMC

iDMC is an integrated, user-friendly, open-source software program developed for the simulation and dynamical analysis of nonlinear models.

The package was designed both as a teaching and research tool and is very easy to download and use (a user’s guide is available). Numerical calculations are performed on models included in the package or any model formulated by the user and easily encoded (a few lines and no compilation necessary). The Java graphical user interface provides fast generation of graphical data of good quality which can be saved as .png files.

The native idmclib C library is used. Current availability: numerical simulation of trajectories, options for automatically varying initial values or parameter values; bifurcation diagrams for the study of limit sets with respect to a single parameter or in a two-dimensional parameter space; calculation of the Lyapunov exponents with respect to time, with respect to a single parameter, or in a two-dimensional parameter space; basins of attraction; stable and unstable manifolds; absorbing areas (some options only available for maps.)

This package replaces the older versions of iDMC 1.9.3 and iDMC 2.0.5, previously listed here.

KeywordsBifurcation analysis, Dynamics (phase diagrams), Other, Visualization
Model
  • Maps
  • ODEs
Software Type
  • Package
Language
  • C++
  • Java
  • Binary Distribution
Platform
  • Linux
  • Windows
Availability
This package can be downloaded from google code in windows and linux installer versions from: http://idmc.blogspot.com/
Contact Person
Marji Lines, Department of Statistics, University of Udine, lines AT dss.uniud.it.
References to Papers

[1] Bifurcation scenarios in a heterogeneous agent, multiplier-accelerator model, Pure Mathematics and Applications 16, pp 429-442, 2007.

[2] Expectations and the Multiplier-Accelerator Model, with F. Westerhoff in Business Cycle Dynamics. Models and Tools, T. Puu and I. Sushko (eds.), Berlin: Springer-Verlag, pp 255-276, 2006.

[3] Practical tools for identifying dynamics in discrete systems.

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