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Pyomo — Optimization Modeling in Python Vital Source e-bog
Michael L. Bynum, Gabriel A. Hackebeil, William E. Hart, Carl D. Laird, Bethany L. Nicholson og John D
(2021)
Pyomo — Optimization Modeling in Python Vital Source e-bog
Michael L. Bynum, Gabriel A. Hackebeil, William E. Hart, Carl D. Laird, Bethany L. Nicholson og John D
(2021)
Pyomo -- Optimization Modeling in Python
Michael L. Bynum, Gabriel A. Hackebeil, William E. Hart, Carl D. Laird, Bethany L. Nicholson, John D. Siirola, Jean-Paul Watson og David L. Woodruff
(2021)
Sprog: Engelsk
Detaljer om varen
- 3. Udgave
- Vital Source leje e-bog 90 dage
- Udgiver: Springer Nature (Marts 2021)
- Forfattere: Michael L. Bynum, Gabriel A. Hackebeil, William E. Hart, Carl D. Laird, Bethany L. Nicholson og John D
- ISBN: 9783030689285R90
Bookshelf online: 90 dage fra købsdato.
Bookshelf appen: 90 dage fra købsdato.
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Detaljer om varen
- 3. Udgave
- Vital Source leje e-bog 180 dage
- Udgiver: Springer Nature (Marts 2021)
- Forfattere: Michael L. Bynum, Gabriel A. Hackebeil, William E. Hart, Carl D. Laird, Bethany L. Nicholson og John D
- ISBN: 9783030689285R180
Bookshelf online: 180 dage fra købsdato.
Bookshelf appen: 180 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- 3. Udgave
- Hardback
- Udgiver: Springer International Publishing AG (Marts 2021)
- Forfattere: Michael L. Bynum, Gabriel A. Hackebeil, William E. Hart, Carl D. Laird, Bethany L. Nicholson, John D. Siirola, Jean-Paul Watson og David L. Woodruff
- ISBN: 9783030689278
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. In the third edition, much of the material has been reorganized, new examples have been added, and a new chapter has been added describing how modelers can improve the performance of their models. The authors have also modified their recommended method for importing Pyomo. A big change in this edition is the emphasis of concrete models, which provide fewer restrictions on the specification and use of Pyomo models.
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.
Part I. An Introduction to Pyomo.-
2. Mathematical Modeling and Optimization.-
3. Pyomo Overview.-
4. Pyomo Models and Components: An Introduction.-
5. Scripting Custom Workflows.-
6. Interacting with Solvers.-
Part II. Advanced Topics.-
7. Nonlinear Programming with Pyomo.-
8. Structured Modeling with Blocks.-
9. Performance: Model Construction and Solver Interfaces.-
10. Abstract Models and Their Solution.-
Part III. Modeling Extensions.-
11. Generalized Disjunctive Programming.-
12. Differential Algebraic Equations.-
13. Mathematical Programs with Equilibrium Constraints.-
. A Brief Python Tutorial.- Bibliography.- Index.