Scripting

William E. Hart, Carl D. Laird, Jean-Paul Watson, David L. Woodruff, Gabriel A. Hackebeil, Bethany L. Nicholson and John D. Siirola
Additional contact information
William E. Hart: Sandia National Laboratories
Carl D. Laird: Sandia National Laboratories
Jean-Paul Watson: Sandia National Laboratories
David L. Woodruff: University of California, Davis
Gabriel A. Hackebeil: University of Michigan
Bethany L. Nicholson: Sandia National Laboratories
John D. Siirola: Sandia National Laboratories

Chapter Chapter 14 in Pyomo — Optimization Modeling in Python, 2017, pp 235-253 from Springer

Abstract: Abstract This chapter illustrates the use of Python scripts for solution analysis, the development of high-level algorithms and custom workflows. We discuss how to script the standard workflow: build a model, solve the model, and then analyze the solution. Pyomo also supports development of high-level algorithms and complex workflows. This chapter also contains some larger examples, including a Sudoku solver. Together, these scripting examples illustrate how Pyomo users can go beyond the simple use of the pyomo command to formulate, solve, and analyze optimization models.

Keywords: Shell Solver; Result Object; Solver Status; Python Script; Solver Output (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/978-3-319-58821-6_14

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