Matches in DBpedia 2014 for { ?s ?p Coopr is a collection of Python software packages that supports a diverse set of optimization capabilities for formulating and analyzing optimization models. A key driver for Coopr development is Pyomo, an open source tool for modeling optimization applications in Python. Pyomo can be used to define symbolic problems, create concrete problem instances, and solve these instances with standard solvers. Thus, Pyomo provides a capability that is commonly associated with an algebraic modeling language like AMPL and GAMS.Coopr has also proven an effective framework for developing high-level optimization and analysis tools. For example, the PySP package provides generic solvers for stochastic programming.PySP leverages the fact that Pyomo's modeling objects are embedded within a full-featured high-level programming language, which allows for transparent parallelization of subproblems using python parallel communication libraries. Pyomo and PySP illustrate how Coopr integrates functionality of both algebraic modeling languages and optimization solver libraries.Coopr was developed by William Hart and Jean-Paul Watson at Sandia National Laboratories and David Woodruff at University of California, Davis. Significant extensions to Coopr were developed by John Siirola at Sandia National Laboratories and Carl Laird at Texas A&M University. Coopr is an open-source project that is freely available, and it is licensed with the BSD license. Coopr is developed as part of the COIN-OR project. Coopr is a popular open-source software package that is used by a variety of government agencies and academic institutions.. }
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- Coopr abstract "Coopr is a collection of Python software packages that supports a diverse set of optimization capabilities for formulating and analyzing optimization models. A key driver for Coopr development is Pyomo, an open source tool for modeling optimization applications in Python. Pyomo can be used to define symbolic problems, create concrete problem instances, and solve these instances with standard solvers. Thus, Pyomo provides a capability that is commonly associated with an algebraic modeling language like AMPL and GAMS.Coopr has also proven an effective framework for developing high-level optimization and analysis tools. For example, the PySP package provides generic solvers for stochastic programming.PySP leverages the fact that Pyomo's modeling objects are embedded within a full-featured high-level programming language, which allows for transparent parallelization of subproblems using python parallel communication libraries. Pyomo and PySP illustrate how Coopr integrates functionality of both algebraic modeling languages and optimization solver libraries.Coopr was developed by William Hart and Jean-Paul Watson at Sandia National Laboratories and David Woodruff at University of California, Davis. Significant extensions to Coopr were developed by John Siirola at Sandia National Laboratories and Carl Laird at Texas A&M University. Coopr is an open-source project that is freely available, and it is licensed with the BSD license. Coopr is developed as part of the COIN-OR project. Coopr is a popular open-source software package that is used by a variety of government agencies and academic institutions.".