Supports system dynamics, agent based and discrete event modeling, allows making hybrid models.įor solving small to very large mathematical models, systems of non-linear equations, linear and nonlinear optimisation problems, dynamic systems expressed as differential-algebraic equations.ĭeveloped on Berkeley campus under sponsorship of NSF and NIH, used by academic and commercial institutions to build mathematical models for research and teaching. Proprietary, commercial, free Personal Learning Edition (PLE) for education, formal or not Uses influence diagrams to define, navigate, and document models. Supports system dynamics, Monte Carlo simulation for uncertainty, array abstraction for handling multidimensional data, linear and non-linear optimization. Proprietary, commercial, free limited version
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