Pyomo -- optimization modeling in Python

Pyomo -- optimization modeling in Python

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Bibliographic Details
Main Authors: Hart, William E. (Author), Laird, Carl D. (Author), Watson, Jean-Paul (Author), Woodruff, David L. (Author), Hackebeil, Gabriel A. (Author), Nicholson, Bethany L. (Author), Siirola, John D. (Author)
Language:English
Edition:Second edition.
Series:Springer optimization and its applications ; v. 67.
Subjects:
Computer simulation.
Mathematical optimization > Computer simulation.
Python (Computer program language)
Online Access:Link to e-book
Physical Description:1 online resource (xviii, 277 pages) : illustrations (some color).
Bibliography:Includes bibliographical references and index.
Published: Cham, Switzerland : Springer, 2017.
ISBN:9783319588216
3319588214
3319588192
9783319588193
ISSN:1931-6828 ;
Table of Contents:
  • 1. Introduction
  • Part I. An Introduction to Pyomo
  • 2. Mathematical Modeling and Optimization
  • 3. Pyomo Overview
  • 4. Pyomo Models and Components
  • 5. The Pyomo Command
  • 6. Data Command Files
  • Part II. Advanced Features and Extensions
  • 7. Nonlinear Programming with Pyomo
  • 8. Structured Modeling with Blocks
  • 9. Generalized Disjunctive Programming
  • 10. Stochastic Programming Extensions
  • 11. Differential Algebraic Equations
  • 12. Mathematical Programs with Equilibrium Constraints
  • 13. Bilevel Programming
  • 14. Scripting
  • A.A Brief Python Tutorial
  • Index.

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