Your message dated Tue, 12 Dec 2017 09:57:25 +0100
with message-id <0a559c48-eb80-edc1-3122-bffcfbfe3...@danielstender.com>
and subject line RFA: pyomo -- PYthon Optimization Modeling Objects
has caused the Debian Bug report #863370,
regarding RFA: pyomo -- PYthon Optimization Modeling Objects
to be marked as done.

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863370: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=863370
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--- Begin Message ---
Package: wnpp
Severity: normal

I request an adopter for the pyomo package [1].

Thanks,
DS

[1] https://packages.qa.debian.org/p/pyomo.html

The package description is:
 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).
 .
 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.
 .
 Pyomo was formerly released as the Coopr software library, and includes
 the PySP package (Pyomo Stochastic Programming) which provides generic
 solvers for stochastic programming.

--- End Message ---
--- Begin Message ---
Closed in favor of removal request #884159.

Thanks,
DS

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