Abstract
A Pyomo model is populated with modeling components that define model data, as well as model structures like objectives, and constraints. This chapter describes the Pyomo classes for modeling components that define variables, objectives and constraints, which are the core components needed to define a Pyomo model.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2012 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Hart, W.E., Laird, C., Watson, JP., Woodruff, D.L. (2012). Model Components: Variables, Objectives, and Constraints. In: Pyomo – Optimization Modeling in Python. Springer Optimization and Its Applications(), vol 67. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-3226-5_3
Download citation
DOI: https://doi.org/10.1007/978-1-4614-3226-5_3
Published:
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4614-3225-8
Online ISBN: 978-1-4614-3226-5
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)