| PackageDescription | PYthon Optimization Modeling Objects
Pyomo is a tool for formulating and analyzing mathematical models
that represent real-world systems for complex optimization applications
as applied in different areas of business, engineering, research,
and administration.
It's used to define symbolic problems, create concrete problem
instances, and solve this instances with standard solvers.
Pyomo provides a capability that is commonly associated with
algebraic modeling languages (AML) and applications like
AMPL, AIMMS, or GAMS, but has its modeling objects within the Python
environment.
Pyomo features a versatile set of modeling components, and supports
concrete models (defined with data) as well as abstract models (defined
without data).
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For the processing of instantiated models Pyomo supports a wide range of
independent solvers that could be written either in Python or other languages.
Pyomo supports the general ASL (AMPL Solver Library) compatible interface,
and has invidividual backends for solvers which some of them are available
within Debian (GLPK, COIN-OR CPC, OPENOPT).
Pyomo's solver manager could also employ the public NEOS Server to remotely
optimize models if network access is available.
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Pyomo was formerly released as the Coopr software library, and includes
the PySP package (Pyomo Stochastic Programming) which provides generic
solvers for stochastic programming. |