Pyomo Optimization Modeling in Python

Author: William E. Hart
Publisher: Springer Science & Business Media
ISBN: 146143226X
Format: PDF, ePub
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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.

Pyomo Optimization Modeling in Python

Author: William E. Hart
Publisher: Springer
ISBN: 9781461432258
Format: PDF, Kindle
Download Now
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.

Pyomo u2014 Optimization Modeling in Python

Author: William E. Hart
Publisher:
ISBN:
Format: PDF, Docs
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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.

Multiple Criteria Decision Aid

Author: Jason Papathanasiou
Publisher: Springer
ISBN: 3319916483
Format: PDF, Kindle
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Multiple criteria decision aid (MCDA) methods are illustrated in this book through theoretical and computational techniques utilizing Python. Existing methods are presented in detail with a step by step learning approach. Theoretical background is given for TOPSIS, VIKOR, PROMETHEE, SIR, AHP, goal programming, and their variations. Comprehensive numerical examples are also discussed for each method in conjunction with easy to follow Python code. Extensions to multiple criteria decision making algorithms such as fuzzy number theory and group decision making are introduced and implemented through Python as well. Readers will learn how to implement and use each method based on the problem, the available data, the stakeholders involved, and the various requirements needed. Focusing on the practical aspects of the multiple criteria decision making methodologies, this book is designed for researchers, practitioners and advanced graduate students in the applied mathematics, information systems, operations research and business administration disciplines, as well as other engineers and scientists oriented in interdisciplinary research. Readers will greatly benefit from this book by learning and applying various MCDM/A methods. (Adiel Teixeira de Almeida, CDSID-Center for Decision System and Information Development, Universidade Federal de Pernambuco, Recife, Brazil) Promoting the development and application of multicriteria decision aid is essential to ensure more ethical and sustainable decisions. This book is a great contribution to this objective. It is a perfect blend of theory and practice, providing potential users and researchers with the theoretical bases of some of the best-known methods as well as with the computing tools needed to practice, to compare and to put these methods to use. (Jean-Pierre Brans, Vrije Universiteit Brussel, Brussels, Belgium) This book is intended for researchers, practitioners and students alike in decision support who wish to familiarize themselves quickly and efficiently with multicriteria decision aiding algorithms. The proposed approach is original, as it presents a selection of methods from the theory to the practical implementation in Python, including a detailed example. This will certainly facilitate the learning of these techniques, and contribute to their effective dissemination in applications. (Patrick Meyer, IMT Atlantique, Lab-STICC, Univ. Bretagne Loire, Brest, France)

11th International Symposium on Process Systems Engineering PSE2012

Author:
Publisher: Elsevier
ISBN: 0444595082
Format: PDF, Kindle
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While the PSE community continues its focus on understanding, synthesizing, modeling, designing, simulating, analyzing, diagnosing, operating, controlling, managing, and optimizing a host of chemical and related industries using the systems approach, the boundaries of PSE research have expanded considerably over the years. While early PSE research was largely concerned with individual units and plants, the current research spans wide ranges of scales in size (molecules to processing units to plants to global multinational enterprises to global supply chain networks; biological cells to ecological webs) and time (instantaneous molecular interactions to months of plant operation to years of strategic planning). The changes and challenges brought about by increasing globalization and the the common global issues of energy, sustainability, and environment provide the motivation for the theme of PSE2012: Process Systems Engineering and Decision Support for the Flat World. Each theme includes an invited chapter based on the plenary presentation by an eminent academic or industrial researcher Reports on the state-of-the-art advances in the various fields of process systems engineering Addresses common global problems and the research being done to solve them

13th International Symposium on Process SystemsEngineering PSE 2018 July 1 5 2018

Author: Mario R. Eden
Publisher: Elsevier
ISBN: 0444642420
Format: PDF, Kindle
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Process Systems Engineering brings together the international community of researchers and engineers interested in computing-based methods in process engineering. This conference highlights the contributions of the PSE community towards the sustainability of modern society and is based on the 13th International Symposium on Process Systems Engineering PSE 2018 event held San Diego, CA, July 1-5 2018. The book contains contributions from academia and industry, establishing the core products of PSE, defining the new and changing scope of our results, and future challenges. Plenary and keynote lectures discuss real-world challenges (globalization, energy, environment and health) and contribute to discussions on the widening scope of PSE versus the consolidation of the core topics of PSE. Highlights how the Process Systems Engineering community contributes to the sustainability of modern society Establishes the core products of Process Systems Engineering Defines the future challenges of Process Systems Engineering

Umdenken

Author: Christian Synwoldt
Publisher: John Wiley & Sons
ISBN: 3527667253
Format: PDF
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Ausgereizte oder ausgereifte Argumente?: Christian Synwoldt bietet sachliche Orientierung in einer emotional geführten Energiedebatte Natürliche Ressourcen für die Energiegewinnung werden knapp - wir wissen das. Doch was tun? Sind neue Technologien und Energieeffizienz der Königsweg zu einer nachhaltigen Energieversorgung? Können Kohlekraftwerke der nächsten Generation klimaneutral arbeiten? Ist Photovoltaik der Heilige Gral der Stromerzeugung? Oft gibt es auf diese Fragen nur einseitige, interessengeleitete Antworten. Christian Synwoldt zeigt nun in seinem Buch Umdenken: Clevere Lösungen für die Energiezukunft, Hintergründe und Details, die in der Diskussion um eine nachhaltige Energieversorgung regelmäßig unter den Tisch fallen und stellt dabei bequeme Standpunkte in Frage. Im Fokus: Ökologische, wirtschaftliche, politische und gesellschaftliche Folgen In den Mittelpunkt stellt der Autor die ökologischen, wirtschaftlichen, politischen und gesellschaftlichen Folgen des (unvermeidbaren) Umbaus der Energieerzeugung - und nicht etwa die (vermeintlichen) Vor- und Nachteile bestimmter Technologien. Synwoldt befasst sich neben den überaus erfolgreichen Errungenschaften auch mit den negativen Konsequenzen des Erneuerbare-Energien-Gesetzes und den Umtrieben an der Leipziger Strombörse. Ebenso geht er auf die oft verschwiegenen Probleme des Netzausbaus und die unaufrichtigen Argumente beim Kostenvergleich zwischen konventioneller und regenerativer Stromerzeugung ein. So hinterfragt er auch allseits bekannte Aussagen wie: Der Ausstieg aus der Kernenergie führt zu höheren Strompreisen Synwoldt sprengt so manche Argumentationskette In dem Kapitel Alter Wein in neuen Schläuchen fragt Christian Synwoldt nach den Möglichkeiten von New Oil und New Gas, von Kohlestrom und Kernkraft. In dem Kapitel Die Zukunft hat bereits begonnen stellt er dann die Energiewende ganz in den Mittelpunkt, um im Anschluss Aspekte der Wirtschaftlichkeit und Effizienz zu diskutieren. Das Buch Umdenken: Clevere Lösungen für die Energiezukunft stellt gewohnte Ansichten auf den Prüfstand und sprengt so manche Argumentationskette. Der Autor schildert und bewertet die gesellschaftlichen, politischen und ökonomischen Voraussetzungen einer gelingenden, echten Energiewende und gibt dem Leser schlagkräftige Argumente für die Energiediskussion an die Hand.

Lie Gruppen und Lie Algebren

Author: Joachim Hilgert
Publisher: Springer-Verlag
ISBN: 3322802701
Format: PDF, ePub, Docs
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Dieses Buch versteht sich als Einführung in die Theorie der Lie-Gruppen. Der Begriff der Lie-Gruppen wird ausgehend von den einfachsten Beispielen, den Matrizengruppen, entwickelt. Eine große Anzahl von Problemen für Lie-Gruppen kann man durch Übertragung auf die zugehörigen Lie-Algebren lösen. Dies ist der Leitgedanke des Buches. Vorausgesetzt werden Kenntnisse in der Linearen Algebra, der Differentialrechnung mehrerer Variablen und der elementaren Gruppentheorie.

Einf hrung in die computerorientierte Mathematik mit Sage

Author: Thorsten Theobald
Publisher: Springer-Verlag
ISBN: 3658104538
Format: PDF, ePub, Docs
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Das an Studienanfänger der Mathematik gerichtete Lehrbuch bietet eine breit angelegte Einführung in verschiedene Facetten der computerorientierten Mathematik. Es ermöglicht eine frühzeitige und wertvolle Auseinandersetzung mit computerorientierten Methoden, Denkweisen und Arbeitstechniken innerhalb der Mathematik. Hierzu werden grundlegende mathematische Teilgebiete behandelt, die eine enge Beziehung zu computerorientierten Aspekten haben: Graphen, mathematische Algorithmen, Rekursionsgleichungen, computerorientierte lineare Algebra, Zahlen, Polynome und ihre Nullstellen. Anhand des mathematischen Kernstrangs werden Einblicke in die Modellierung, Analyse und algorithmische Aufbereitung fundamentaler mathematischer Sachverhalte gegeben. Eine Besonderheit des Buches ist die Verwendung des sich immer stärker in Forschung und Lehre verbreitenden, frei verfügbaren Software-Systems Sage. Das Buch eignet sich besonders gut zur Komplementierung der klassischen Grundvorlesungen in Analysis und linearer Algebra.