eBook
Pyomo — Optimization Modeling in Python
| Τίτλος: | Pyomo — Optimization Modeling in Python |
|---|---|
| Περιγραφή: | 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. |
| Συγγραφείς: | Michael L. Bynum, Gabriel A. Hackebeil, William E. Hart, Carl D. Laird, Bethany L. Nicholson |
| Resource Type: | eBook. |
| Θέματα: | Python (Computer program language), Mathematical optimization--Computer simulation, Computer simulation |
| Categories: | MATHEMATICS / Optimization, BUSINESS & ECONOMICS / Management Science, BUSINESS & ECONOMICS / Operations Research, COMPUTERS / Computer Simulation, COMPUTERS / Mathematical & Statistical Software, MATHEMATICS / Applied, MATHEMATICS / Numerical Analysis |
| Βάση Δεδομένων: | eBook Index |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: edsebk DbLabel: eBook Index An: 2901829 RelevancyScore: 956 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 955.975708007813 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2901829 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 003.3 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Python (Computer program language) Type: general – SubjectFull: Mathematical optimization--Computer simulation Type: general – SubjectFull: Computer simulation Type: general Titles: – TitleFull: Pyomo — Optimization Modeling in Python Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Michael L. Bynum – PersonEntity: Name: NameFull: Gabriel A. Hackebeil – PersonEntity: Name: NameFull: William E. Hart – PersonEntity: Name: NameFull: Carl D. Laird – PersonEntity: Name: NameFull: Bethany L. Nicholson – PersonEntity: Name: NameFull: Michael L. Bynum – PersonEntity: Name: NameFull: Gabriel A. Hackebeil – PersonEntity: Name: NameFull: William E. Hart – PersonEntity: Name: NameFull: Carl D. Laird – PersonEntity: Name: NameFull: Bethany L. Nicholson IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2021 – D: 31 M: 03 Type: profile Y: 2021 Identifiers: – Type: isbn-print Value: 9783030689278 – Type: isbn-electronic Value: 9783030689285 Numbering: – Type: volume Value: 00067 Titles: – TitleFull: Pyomo — Optimization Modeling in Python Type: main |
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