eBook
Pyomo – Optimization Modeling in Python
| Τίτλος: | Pyomo – Optimization Modeling in Python |
|---|---|
| Περιγραφή: | This book provides a complete and comprehensive reference/guide to Pyomo (Python Optimization Modeling Objects) for both beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners. The text illustrates the breadth of the modeling and analysis capabilities that are supported by the software and support of complex real-world applications. Pyomo is an open source software package for formulating and solving large-scale optimization and operations research problems. The text begins with a tutorial on simple linear and integer programming models. A detailed reference of Pyomo's modeling components is illustrated with extensive examples, including a discussion of how to load data from data sources like spreadsheets and databases. Chapters describing advanced modeling capabilities for nonlinear and stochastic optimization are also included. The Pyomo software provides familiar modeling features within Python, a powerful 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. The software supports a different modeling approach than commercial AML (Algebraic Modeling Languages) tools, and is designed for flexibility, extensibility, portability, and maintainability but also maintains the central ideas in modern AMLs. |
| Συγγραφείς: | William E. Hart, Carl Laird, Jean-Paul Watson, David L. Woodruff |
| Resource Type: | eBook. |
| Θέματα: | Mathematical optimization--Computer simulation, Computer simulation, Python (Computer program language), Digital 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 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 2540052 RelevancyScore: 900 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 899.57275390625 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2540052 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 003.3 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Mathematical optimization--Computer simulation Type: general – SubjectFull: Computer simulation Type: general – SubjectFull: Python (Computer program language) Type: general – SubjectFull: Digital computer simulation Type: general Titles: – TitleFull: Pyomo – Optimization Modeling in Python Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: William E. Hart – PersonEntity: Name: NameFull: Carl Laird – PersonEntity: Name: NameFull: Jean-Paul Watson – PersonEntity: Name: NameFull: David L. Woodruff – PersonEntity: Name: NameFull: William E. Hart – PersonEntity: Name: NameFull: Carl Laird – PersonEntity: Name: NameFull: Jean-Paul Watson – PersonEntity: Name: NameFull: David L. Woodruff IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2012 – D: 28 M: 07 Type: profile Y: 2020 Identifiers: – Type: isbn-print Value: 9781461432258 – Type: isbn-electronic Value: 9781461432265 Numbering: – Type: volume Value: 00067 Titles: – TitleFull: Pyomo – Optimization Modeling in Python Type: main |
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