Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Since the collapse of the Soviet Union, Russians have seen the ruble steadily lose ground to alternative means of payment such as barter and privately issued quasi-monies. Industry now collects as much as 70 percent of its receipts in nonmonetary form, leaving many firms with too little cash to pay salaries and taxes. In this ground-breaking book on the Russian economy, David Woodruff argues that Moscow's inability to control the nation's currency is not a carry-over from the Soviet past. Rather, the Russian government has failed to build the administrative capacity and political support demanded by monetary consolidation-a neglected but crucial aspect of capitalist statebuilding. Drawing on a vast array of empirical evidence, Woodruff shows how the widespread use of barter arose as local authorities tried to protect industry against the destructive effects of price increases and crude tax and accounting systems. As businesses fled or were driven from the money economy, provincial governments invented new ways to tax in kind and issued substitutes for the ruble. In turn, the federal authorities, unable to coerce firms either to operate in the money economy or to abandon business altogether, were forced to make accommodations to barter and to ruble alternatives. Woodruff describes the enormous fiscal difficulties that resulted and recounts the intense political battles over attempts to address the problem. Through an overview of monetary consolidation in other nations, Woodruff demonstrates that the struggles of the new Russian state have much to teach us about the political history of money worldwide. Sovereignty over money cannot, he argues, be imposed by government on a recalcitrant society. Nor can it be assumed as a by-product of disciplined policies aimed at market reform. Monetary consolidation is, at heart, a political achievement requiring political support.

POLITICAL SCIENCE / Political Economy --- BUSINESS & ECONOMICS / Finance --- Politique monetaire --- Troc --- Crises boursieres --- Tauschhandel --- Ruilhandel. --- Economische situatie. --- Monetary policy. --- Financial crises. --- Economic history. --- Barter. --- Crises financieres --- Financial crises --- Barter --- Monetary policy --- In-kind exchange --- Payment-in-kind --- Exchange --- Local exchange trading systems --- Economic conditions --- History, Economic --- Economics --- Crashes, Financial --- Crises, Financial --- Financial crashes --- Financial panics --- Panics (Finance) --- Stock exchange crashes --- Stock market panics --- Crises --- Monetary management --- Economic policy --- Currency boards --- Money supply --- Since 1991 --- Russie --- Russland --- Russia (Federation) --- Rossīi︠a︡ --- Rossīĭskai︠a︡ Imperīi︠a︡ --- Russia (Provisional government, 1917) --- Russia (Vremennoe pravitelʹstvo, 1917) --- Ṛusastan --- Russia (Tymchasovyĭ uri︠a︡d, 1917) --- Russian Empire --- Rosja --- Russian S.F.S.R. --- Russia (Territory under White armies, 1918-1920) --- Russian Federation --- Rossiyskaya Federatsiya --- Rossiya (Federation) --- Rossii︠a︡ (Federation) --- Российская Федерация --- Rossiĭskai︠a︡ Federat︠s︡ii︠a︡ --- Російська Федерація --- Rosiĭsʹka Federat︠s︡ii︠a︡ --- Federazione della Russia --- Russische Föderation --- RF --- Federation of Russia --- Urysye Federat︠s︡ie --- Правительство России --- Pravitelʹstvo Rossii --- Правительство Российской Федерации --- Pravitelʹstvo Rossiĭskoĭ Federat︠s︡ii --- Правительство РФ --- Pravitelʹstvo RF --- Rosja (Federation) --- O-lo-ssu (Federation) --- Roshia Renpō --- Federazione russa --- OKhU --- Orosyn Kholboony Uls --- Conditions economiques --- Rußland --- Krievija --- Federazione Russa --- Großrussland --- Großrußland --- Russia --- Rossijskaja Imperija --- Empire de Russie --- Federacja Rosyjska --- Rossija --- Rossijskaja Federacija --- Russische Föderation --- Russisches Reich --- РФ --- Российская Империя --- Russische SFSR --- -1917 --- 25.12.1991 --- -Conditions economiques --- -Russian Federation --- Eluosi (Federation) --- 俄罗斯 (Federation) --- Bartergeschäft --- Handel --- Courses aux guichets --- Crises bancaires --- Crises boursières --- Débâcles boursières --- Débâcles financières --- Krachs --- Paniques bancaires --- Paniques boursières --- Paniques financières --- Bulles spéculatives --- Cycles financiers --- Krach boursier (1929) --- Krach boursier (1987) --- South Sea Company, Bulle spéculative de la (1720) --- Tulipomanie (Pays-Bas ; 1634-1637) --- Crises économiques --- Marché financier --- Échange-marchandises --- Échange non monétaire (troc) --- Échanges en nature --- Économie de troc --- Truck system --- Comptoirs --- Don et contre-don --- Échanges compensés --- Économie de subsistance --- Monnaie franche --- Systèmes d'échanges locaux --- Anthropologie économique --- Commerce --- Échange --- Flottement des monnaies --- Monnaie --- Banques centrales --- Masse monétaire --- Trésor public --- Conseils monétaires --- Assouplissement quantitatif (politique monétaire) --- Dollarisation --- Open-market --- Change --- Crédit --- Dévaluation --- Politique économique --- Law and legislation --- Political aspects --- Flottement --- Politique gouvernementale --- Politique publique --- Pravitelʹstvo RF --- Pravitelʹstvo Rossii --- Pravitelʹstvo Rossiĭskoĭ Federat︠s︡ii --- Roshia Renpō --- Rosiĭsʹka Federat︠s︡ii︠a︡ --- Rossii︠a︡ (Federation) --- Rossiĭskai︠a︡ Federat︠s︡ii︠a︡ --- Russische Föderation --- Urysye Federat︠s︡ie

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

provide models that could be used by do-it-yourselfers and also can be used toprovideunderstandingofthebackgroundissuessothatonecandoabetter job of working with the (proprietary) algorithms of the software vendors. In this book we strive to provide models that capture many of the - tails faced by ?rms operating in a modern supply chain, but we stop short of proposing models for economic analysis of the entire multi-player chain. In other words, we produce models that are useful for planning within a supply chain rather than models for planning the supply chain. The usefulness of the models is enhanced greatly by the fact that they have been implemented - ing computer modeling languages. Implementations are shown in Chapter 7, which allows solutions to be found using a computer. A reasonable question is: why write the book now? It is a combination of opportunities that have recently become available. The availability of mod- inglanguagesandcomputersthatprovidestheopportunitytomakepractical use of the models that we develop. Meanwhile, software companies are p- viding software for optimized production planning in a supply chain. The opportunity to make use of such software gives rise to a need to understand some of the issues in computational models for optimized planning. This is best done by considering simple models and examples.

Production planning --- Mathematical optimization. --- Production management. --- Business logistics. --- Production --- Optimisation mathématique --- Logistique (Organisation) --- Mathematical models. --- Planification --- Modèles mathématiques --- Gestion --- Production planning. --- Mathematical optimization --- Production management --- Business logistics --- Mechanical Engineering --- Management --- Engineering & Applied Sciences --- Business & Economics --- Industrial & Management Engineering --- Management Theory --- Mathematical models --- 658.51 --- Organization of production --- 658.51 Organization of production --- Supply chain management --- Manufacturing management --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Operations research. --- Decision making. --- Information technology. --- Business --- Econometrics. --- Economics. --- Operation Research/Decision Theory. --- Operations Management. --- IT in Business. --- Data processing. --- Industrial management --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Logistics --- Operations Research/Decision Theory. --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Economics, Mathematical --- Statistics --- Business—Data processing. --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Problem solving --- Decision making --- Business information services. --- Operations Research and Decision Theory. --- Business enterprises --- Information services

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

God (Christianity) --- Time --- Eternity --- Religious aspects --- Christianity

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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. Modeling is a fundamental process in many aspects of scientific research, engineering, and business. This text beautifully illustrates the breadth of the modeling capabilities that are supported by this new software and its handling of complex real-world applications.   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.   The text begins with a tutorial on simple linear and integer programming models. Information needed to install and get started with the software is also provided. A detailed reference of Pyomo's modeling components is illustrated with extensive examples, including a discussion of how to load data from sources like spreadsheets and databases. The final chapters cover advanced topics such as nonlinear models, stochastic models, and scripting examples.

Computer simulation. --- Mathematical optimization -- Computer simulation. --- Python (Computer program language). --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Operations Research --- Mathematical optimization --- Python (Computer program language) --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Mathematics. --- Computer science --- Computer mathematics. --- Computer software. --- Mathematical optimization. --- Operations research. --- Management science. --- Optimization. --- Simulation and Modeling. --- Computational Mathematics and Numerical Analysis. --- Math Applications in Computer Science. --- Mathematical Software. --- Operations Research, Management Science. --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Scripting languages (Computer science) --- Mathematical analysis --- Maxima and minima --- Operations research --- System analysis --- Computer science. --- Software, Computer --- Computer systems --- Informatics --- Science --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Mathematics --- Computer science—Mathematics. --- Quantitative business analysis --- Management --- Problem solving --- Statistical decision --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

Numerical methods of optimisation --- Operational research. Game theory --- Mathematical control systems --- Mathematical statistics --- Mathematics --- Planning (firm) --- Computer science --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- Python (informatica) --- bedrijfssoftware --- vormgeving --- automatisering --- computers --- informatica --- mathematische modellen --- mineralen (chemie) --- simulaties --- externe fixatie (geneeskunde --- mijnbouw --- econometrie --- wiskunde --- operationeel onderzoek --- computerkunde --- Mathematical optimization. --- Computer simulation. --- Computer science. --- Computer software. --- Optimization. --- Simulation and Modeling. --- Computational Mathematics and Numerical Analysis. --- Math Applications in Computer Science. --- Mathematical Software. --- Operations Research, Management Science. --- Software, Computer --- Computer systems --- Informatics --- Science --- Computer mathematics --- Electronic data processing --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- System analysis --- Mathematics. --- Computer mathematics. --- Computer science—Mathematics. --- Operations research. --- Management science. --- Quantitative business analysis --- Management --- Problem solving --- Statistical decision --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory