Coopr, now known as Pyomo, is a Python-based open-source software package that supports a diverse set of optimization capabilities for formulating and solving mathematical programs. It provides tools for modeling complex optimization problems, including linear programming, nonlinear programming, mixed-integer programming, and more, using Python syntax.
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About Coopr
Coopr, later renamed Pyomo, was developed as an open-source project to provide a Python-based framework for modeling and solving mathematical optimization problems. It emerged from the efforts of researchers and developers at Sandia National Laboratories around 2008. The primary goal was to create a flexible and extensible tool that could handle various types of optimization problems using Python's syntax and libraries.
Strengths of Coopr include its flexibility, extensive modeling capabilities, and integration with Python, which allows for easy customization and scripting. Weaknesses involve a steeper learning curve for users unfamiliar with Python or mathematical optimization concepts. Competitors include GAMS, AMPL, and CPLEX, which also offer robust optimization tools but may differ in terms of usability, cost, and specific feature sets.
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How to hire a Coopr expert
A Coopr expert must have proficiency in Python programming, a strong understanding of mathematical optimization concepts, and experience with linear and nonlinear programming. They should also be skilled in using Pyomo for modeling optimization problems and familiar with solvers like GLPK, CPLEX, or Gurobi. Familiarity with data manipulation libraries such as Pandas is also beneficial.
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