\texttt{pyomo.dae}: a modeling and automatic discretization framework for optimization with differential and algebraic equations

DOI10.1007/s12532-017-0127-0zbMath1402.49029OpenAlexW2776645380MaRDI QIDQ1621687

Jean-Paul Watson, Lorenz T. Biegler, John D. Siirola, Victor M. Zavala, Bethany L. Nicholson

Publication date: 9 November 2018

Published in: Mathematical Programming Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s12532-017-0127-0

zbMATH Keywords

dynamic optimizationmathematical modelingalgebraic modeling languagePDE constrained optimizationDAE constrained optimization

Mathematics Subject Classification ID

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Uses Software

• Matlab
• SUNDIALS
• AMPL
• ACADO
• Pyomo
• FlopC++
• PuLP
• GAMS
• GPOPS
• PROPT
• gPROMS
• SOCS
• TACO
• JModelica
• Optimica
• Julia
• Python
• pyomo.dae

Cites Work

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• SUNDIALS
• A Modeling Language for Mathematical Programming
• Efficient parallel solution of large-scale nonlinear dynamic optimization problems
• TACO: a toolkit for AMPL control optimization
• ACADO toolkit-An open-source framework for automatic control and dynamic optimization
• Computing in Operations Research Using Julia
• Nonlinear Programming
• GPOPS-II
• FLOPC++ An Algebraic Modeling Language Embedded in C++
• Pyomo -- optimization modeling in Python

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