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Pyomo – Optimization Modeling in Python
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 exten...
Pyomo — Optimization Modeling in Python
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 chapte...
Introduction to Computational Optimization Models for Production Planning in a Supply Chain
An easy-to-read introduction to the concepts associated with the creation of optimization models for production planning starts off this book. These concepts are then applied to well-known planning models, namely mrp and MRP II. From this foundation, fairly sophisticated models for supply chain management are developed. Another unique feature is that models are developed with an eye toward implementation. In fact, there is a chapter that provides explicit examples of implementation of the basic models using a variety of popular, commercially available modeling languages.
Husserl
This second edition of David Woodruff Smith’s stimulating introduction to Husserl has been fully updated and includes a new ninth chapter featuring contemporary issues confronting Husserl’s phenomenology. It introduces the whole of Edmund Husserl’s thought, demonstrating his influence on philosophy of mind and language, on ontology and epistemology, as well as ethical theory, and on philosophy of logic, mathematics, and science. Starting with an overview of Husserl’s life and works, and his place in twentieth-century philosophy and in Western philosophy as a whole, Smith introduces Husserl’s conception of phenomenology, explaining Husserl’s innovative theories of intentionality, ...
Husserl
In this stimulating introduction, David Woodruff Smith introduces the whole of Husserl’s thought, demonstrating his influence on philosophy of mind and language, on ontology and epistemology, and on philosophy of logic, mathematics and science. Starting with an overview of his life and works, and his place in twentieth-century philosophy, and in western philosophy as a whole, David Woodruff Smith introduces Husserl’s concept of phenomenology, explaining his influential theories of intentionality, objectivity and subjectivity. In subsequent chapters he covers Husserl’s logic, metaphysics, realism and transcendental idealism, and epistemology. Finally, he assesses the significance and implications of Husserl’s work for contemporary philosophy of mind and cognitive science. Including a timeline, glossary and extensive suggestions for further reading, Husserl is essential reading for anyone interested in this eminent philosopher, phenomenology or twentieth-century philosophy.
Phenomenology and Philosophy of Mind
Philosophical work on the mind flowed in two streams through the 20th century: phenomenology and analytic philosophy. The phenomenological tradition began with Brentano and was developed by such great European philosophers as Husserl, Heidegger, Sartre, and Merleau-Ponty. As the century advanced, Anglophone philosophers increasingly developed their own distinct styles and methods of studying the mind, and a gulf seemed to open up between the two traditions. This volume aims to bring them together again, by demonstrating how work in phenomenology may lead to significant progress on problems central to current analytic research, and how analytical philosophy of mind may shed light on phenomenological concerns. Leading figures from both traditions contribute specially written essays on such central topics as consciousness, intentionality, perception, action, self-knowledge, temporal awareness, and mental content. Phenomenology and Philosophy of Mind demonstrates that these different approaches to the mind should not stand in opposition to each other, but can be mutually illuminating.
Mind World
This collection explores the structure of consciousness and its place in the world, or inversely the structure of the world and the place of consciousness in it. Amongst the topics covered are: the phenomenological aspects of experience, dependencies between experience and the world and the basic ontological categories found in the world at large. Developing ideas drawn from historical figures such as Descartes, Husserl, Aristotle, and Whitehead, the essays together demonstrate the interdependence of ontology and phenomenology and its significance for the philosophy of mind.
Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search
Computer Science and Operations Research continue to have a synergistic relationship and this book - as a part of the Operations Research and Computer Science Interface Series - sits squarely in the center of the confluence of these two technical research communities. The research presented in the volume is evidence of the expanding frontiers of these two intersecting disciplines and provides researchers and practitioners with new work in the areas of logic programming, stochastic optimization, heuristic search and post-solution analysis for integer programs. The chapter topics span the spectrum of application level. Some of the chapters are highly applied and others represent work in which the application potential is only beginning. In addition, each chapter contains expository material and reviews of the literature designed to enhance the participation of the reader in this expanding interface.
Optimization Software Class Libraries
Optimization problems in practice are diverse and evolve over time, giving rise to - quirements both for ready-to-use optimization software packages and for optimization software libraries, which provide more or less adaptable building blocks for app- cation-specific software systems. In order to apply optimization methods to a new type of problem, corresponding models and algorithms have to be “coded” so that they are accessible to a computer. One way to achieve this step is the use of a mod- ing language. Such modeling systems provide an excellent interface between models and solvers, but only for a limited range of model types (in some cases, for example, linear) due, in part, to limi...
Pyomo -- Optimization Modeling in Python
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...
