Coverart for item
The Resource Pyomo — Optimization Modeling in Python, by William E. Hart, Carl D. Laird, Jean-Paul Watson, David L. Woodruff, Gabriel A. Hackebeil, Bethany L. Nicholson, John D. Siirola, (electronic resource)

Pyomo — Optimization Modeling in Python, by William E. Hart, Carl D. Laird, Jean-Paul Watson, David L. Woodruff, Gabriel A. Hackebeil, Bethany L. Nicholson, John D. Siirola, (electronic resource)

Label
Pyomo — Optimization Modeling in Python
Title
Pyomo — Optimization Modeling in Python
Statement of responsibility
by William E. Hart, Carl D. Laird, Jean-Paul Watson, David L. Woodruff, Gabriel A. Hackebeil, Bethany L. Nicholson, John D. Siirola
Creator
Contributor
Author
Subject
Language
eng
Summary
This book provides a complete and comprehensive guide to Pyomo (Python Optimization Modeling Objects) for beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners. Using many examples to illustrate the different techniques useful for formulating models, this text beautifully elucidates the breadth of modeling capabilities that are supported by Pyomo and its handling of complex real-world applications. This second edition provides an expanded presentation of Pyomo’s modeling capabilities, providing a broader description of the software that will enable the user to develop and optimize models. Introductory chapters have been revised to extend tutorials; chapters that discuss advanced features now include the new functionalities added to Pyomo since the first edition including generalized disjunctive programming, mathematical programming with equilibrium constraints, and bilevel programming. Pyomo is an open source software package for formulating and solving large-scale optimization problems. The software extends the modeling approach supported by modern AML (Algebraic Modeling Language) tools. Pyomo is a flexible, extensible, and portable AML that is embedded in Python, a full-featured scripting language. Python is a powerful and dynamic programming language that has a very clear, readable syntax and intuitive object orientation. Pyomo includes Python classes for defining sparse sets, parameters, and variables, which can be used to formulate algebraic expressions that define objectives and constraints. Moreover, Pyomo can be used from a command-line interface and within Python's interactive command environment, which makes it easy to create Pyomo models, apply a variety of optimizers, and examine solutions. Review of the first edition: Documents a simple, yet versatile tool for modeling and solving optimization problems. ... The book, by Bill Hart, Carl Laird, Jean-Paul Watson, and David Woodruff, is essential to the usability of Pyomo, serving as the Pyomo documentation. ... has contents for both an inexperienced user, and a computational operations research expert. ... with examples of each of the concepts discussed. —Nedialko B. Dimitrov, INFORMS Journal on Computing, Vol. 24 (4), Fall 2012.--
Member of
Assigning source
Provided by publisher
http://library.link/vocab/creatorName
Hart, William E
Image bit depth
0
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Laird, Carl D.
  • Watson, Jean-Paul.
  • Woodruff, David L.
  • Hackebeil, Gabriel A.
  • Nicholson, Bethany L.
  • Siirola, John D.
Series statement
  • Springer eBooks
  • Springer Optimization and Its Applications,
Series volume
67
http://library.link/vocab/subjectName
  • Mathematics
  • Computer science
  • Computer simulation
  • Computer mathematics
  • Computer software
  • Mathematical optimization
  • Operations research
  • Management science
Label
Pyomo — Optimization Modeling in Python, by William E. Hart, Carl D. Laird, Jean-Paul Watson, David L. Woodruff, Gabriel A. Hackebeil, Bethany L. Nicholson, John D. Siirola, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-319-58821-6
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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
Control code
978-3-319-58821-6
Dimensions
unknown
Edition
2nd ed. 2017.
Extent
1 online resource (XVIII, 277 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783319588216
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-58821-6
Other physical details
13 illustrations, 8 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)988749903
Label
Pyomo — Optimization Modeling in Python, by William E. Hart, Carl D. Laird, Jean-Paul Watson, David L. Woodruff, Gabriel A. Hackebeil, Bethany L. Nicholson, John D. Siirola, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-319-58821-6
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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
Control code
978-3-319-58821-6
Dimensions
unknown
Edition
2nd ed. 2017.
Extent
1 online resource (XVIII, 277 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783319588216
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-58821-6
Other physical details
13 illustrations, 8 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)988749903

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