Differential Algebraic Equations

Michael L. Bynum, Gabriel A. Hackebeil, William E. Hart, Carl D. Laird, Bethany L. Nicholson, John D. Siirola, Jean-Paul Watson and David L. Woodruff
Additional contact information
Michael L. Bynum: Sandia National Laboratories
Gabriel A. Hackebeil: Deepfield Nokia
William E. Hart: Sandia National Laboratories
Carl D. Laird: Sandia National Laboratories
Bethany L. Nicholson: Sandia National Laboratories
John D. Siirola: Sandia National Laboratories
Jean-Paul Watson: Lawrence Livermore National Laboratory
David L. Woodruff: University of California

Chapter Chapter 12 in Pyomo — Optimization Modeling in Python, 2021, pp 181-189 from Springer

Abstract: Abstract This chapter documents how to formulate and solve optimization problems with differential and algebraic equations (DAEs). The pyomo.dae package allows users to incorporate detailed dynamic models within an optimization framework, and it is flexible enough to represent a wide variety of differential equations. pyomo.dae also includes several automated solution techniques based on a simultaneous discretization approach to solve dynamic optimization problems.

Date: 2021
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DOI: 10.1007/978-3-030-68928-5_12

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