New Directions in Computational Economics brings together for the first time a diverse selection of papers, sharing the underlying theme of application of computing technology as a tool for achieving solutions to realistic problems in computational economics and related areas in the environmental, ecological and energy fields.
Part I of the volume addresses experimental and computational issues in auction mechanisms, including a survey of recent results for sealed bid auctions. The second contribution uses neural networks as the basis for estimating bid functions for first price sealed bid auctions. Also presented is the `smart market' computational mechanism which better matches bids and offers for natural gas.
Part II consists of papers that formulate and solve models of economics systems. Amman and Kendrick's paper deals with control models and the computational difficulties that result from nonconvexities. Using goal programming, Nagurney, Thore and Pan formulate spatial resource allocation models to analyze various policy issues. Thompson and Thrall next present a rigorous mathematical analysis of the relationship between efficiency and profitability. The problem of matching uncertain streams of assets and liabilities is solved using stochastic optimization techniques in the following paper in this section.
Finally, Part III applies economic concepts to issues in computer science in addition to using computational techniques to solve economic models.
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Introduction; W.W. Cooper, A.B. Whinston. Part I: Experimental and Computational Methods for Auction Mechanisms. Sealed Bid Auctions and Economic Market Games; G.L. Thompson. The Use of Artificial Neural Networks for Estimation of Decision Surface in First Price Sealed Bid Auctions; R.E. Dorsey, J.D. Johnson, M.V. Van Boening. Designing a Real Time Computer Assisted Auction for Natural Gas Networks; S. Rassenti, V. Smith, K. McCabe. Part II: Modeling Computational Economic Systems. Nonconvexities in Stochastic Control Models: an Analysis; H.M. Amman, D.A. Kendrick. The Modeling and Computation of Generalized Goal Programming Problems; A. Nagurney, S. Thore, Jie Pan. Polyhedral Assurance Regions with Linked Constraints; R.G. Thompson, R.M. Thrall. Integrative Asset-Liability Planning Using Large Scale Stochastic Optimization; J. Mulvey. Part III: Economic Modeling and Computational Systems. Economic Decision Theory as a Paradigm for the Coinstruction and Evaluation of Algorithms and Information Systems; J.C. Moore, W.B. Richmond, A.B. Whinston. A General Economic Equilibrium Model of Distributed Computing; D.O. Stahl, A.B. Whinston. International Trade, Capital Flows and Sectoral Analysis: Formulation and Solution of Intertemporal Equilibrium Models; A.S. Manne, T.F. Rutherford. Stochastic Control of Nonlinear Economic Models; R. Neck, J. Matulka.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -New Directions in Computational Economics brings together for the first time a diverse selection of papers, sharing the underlying theme of application of computing technology as a tool for achieving solutions to realistic problems in computational economics and related areas in the environmental, ecological and energy fields. Part I of the volume addresses experimental and computational issues in auction mechanisms, including a survey of recent results for sealed bid auctions. The second contribution uses neural networks as the basis for estimating bid functions for first price sealed bid auctions. Also presented is the `smart market' computational mechanism which better matches bids and offers for natural gas. Part II consists of papers that formulate and solve models of economics systems. Amman and Kendrick's paper deals with control models and the computational difficulties that result from nonconvexities. Using goal programming, Nagurney, Thore and Pan formulate spatial resource allocation models to analyze various policy issues. Thompson and Thrall next present a rigorous mathematical analysis of the relationship between efficiency and profitability. The problem of matching uncertain streams of assets and liabilities is solved using stochastic optimization techniques in the following paper in this section. Finally, Part III applies economic concepts to issues in computer science in addition to using computational techniques to solve economic models. 248 pp. Englisch. Codice articolo 9780792325390
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Condizione: New. Brings together a diverse selection of papers, sharing the underlying theme of application of computing technology as a tool for achieving solutions to realistic problems in computational economics and related areas in the environmental, ecological and energy fields. This title addresses experimental and computational issues in auction mechanisms. Editor(s): Cooper, William W.; Whinston, Andrew B. Series: Advances in Computational Economics. Num Pages: 230 pages, 21 black & white tables, biography. BIC Classification: KCH. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 15. Weight in Grams: 526. . 1994. Hardback. . . . . Codice articolo V9780792325390
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Buch. Condizione: Neu. New Directions in Computational Economics | Andrew B. Whinston (u. a.) | Buch | xiii | Englisch | 1994 | Springer Netherland | EAN 9780792325390 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 101980392
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Buch. Condizione: Neu. Neuware -New Directions in Computational Economics brings together for the first time a diverse selection of papers, sharing the underlying theme of application of computing technology as a tool for achieving solutions to realistic problems in computational economics and related areas in the environmental, ecological and energy fields.Part I of the volume addresses experimental and computational issues in auction mechanisms, including a survey of recent results for sealed bid auctions. The second contribution uses neural networks as the basis for estimating bid functions for first price sealed bid auctions. Also presented is the `smart market' computational mechanism which better matches bids and offers for natural gas.Part II consists of papers that formulate and solve models of economics systems. Amman and Kendrick's paper deals with control models and the computational difficulties that result from nonconvexities. Using goal programming, Nagurney, Thore and Pan formulate spatial resource allocation models to analyze various policy issues. Thompson and Thrall next present a rigorous mathematical analysis of the relationship between efficiency and profitability. The problem of matching uncertain streams of assets and liabilities is solved using stochastic optimization techniques in the following paper in this section.Finally, Part III applies economic concepts to issues in computer science in addition to using computational techniques to solve economic models.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 248 pp. Englisch. Codice articolo 9780792325390
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - New Directions in Computational Economics brings together for the first time a diverse selection of papers, sharing the underlying theme of application of computing technology as a tool for achieving solutions to realistic problems in computational economics and related areas in the environmental, ecological and energy fields. Part I of the volume addresses experimental and computational issues in auction mechanisms, including a survey of recent results for sealed bid auctions. The second contribution uses neural networks as the basis for estimating bid functions for first price sealed bid auctions. Also presented is the `smart market' computational mechanism which better matches bids and offers for natural gas. Part II consists of papers that formulate and solve models of economics systems. Amman and Kendrick's paper deals with control models and the computational difficulties that result from nonconvexities. Using goal programming, Nagurney, Thore and Pan formulate spatial resource allocation models to analyze various policy issues. Thompson and Thrall next present a rigorous mathematical analysis of the relationship between efficiency and profitability. The problem of matching uncertain streams of assets and liabilities is solved using stochastic optimization techniques in the following paper in this section. Finally, Part III applies economic concepts to issues in computer science in addition to using computational techniques to solve economic models. Codice articolo 9780792325390
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