Introduction

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 1 in Pyomo — Optimization Modeling in Python, 2017, pp 1-11 from Springer

Abstract: Abstract This chapter introduces and motivates Pyomo, a Python-based tool for modeling and solving optimization problems. Modeling is a fundamental process in many aspects of scientific research, engineering, and business. Algebraic modeling languages like Pyomo are high-level languages for specifying and solving mathematical optimization problems. Pyomo is a flexible, extensible modeling framework that captures and extends central ideas found in modern algebraic modeling languages, all within the context of a widely used programming language.

Date: 2017
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DOI: 10.1007/978-3-319-58821-6_1

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