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Network Economics: A Variational Inequality Approach [electronic resource] / by David Ben-Arieh.

By: Contributor(s): Material type: TextTextSeries: Advances in Computational Economics ; 1Publisher: Dordrecht : Springer Netherlands : Imprint: Springer, 1993Edition: 1st ed. 1993Description: XXI, 326 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789401121781
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 330.1
LOC classification:
  • HB1-846.8
Online resources:
Contents:
I Theory and Fundamentals -- 1 Variational Inequality Theory -- 2 Algorithms -- II Partial Equilibrium - Perfect Competition -- 3 Spatial Price Equilibrium -- 4 Traffic Network Equilibrium -- 5 Migration Equilibrium -- III Partial Equilibrium - Imperfect Competition -- 6 Oligopolistic Market Equilibrium -- IV General Equilibrium -- 7 Walrasian Price Equilibrium -- 8 Financial Equilibrium -- V Estimation -- 9 Constrained Matrix Problems.
In: Springer Nature eBookSummary: Computational economics has been at the forefront in stimulating the de­ velopment of mathematical methodologies for the analysis and solution of complex, large-scale problems. The past decade, in particular, has witnessed a dramatic growth of interest in this area. Supported by the increasing avail­ ability of data and advances in computer architectures, the scale and scope of problems that can now be handled are unveiling new horizons in both theoretical modeling and policy analysis. Accompanying the activity in computational economics is a need for the unification, documentation, and presentation of fundamental methodologies for use by both researchers and practitioners. This volume aims to make a contribution in this direction. The focus of this book is on network economics. Physical networks are pervasive in today's society, be they in the form of transportation networks, telecommunication networks, energy pipelines, electric power networks, etc. Mathematical networks, on the other hand, may be used to represent not only physical networks but also interactions among economic agents. In many applications, the network representation of an economic equilibrium problem may be abstract in that the nodes of the network need not corre­ spond to locations in space and the links of the network to trade or travel routes.
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Item type Home library Collection Call number Status Date due Barcode Item holds
E-Book E-Book Biblioteca Digital Colección SPRINGER 330.1 (Browse shelf(Opens below)) Not For Loan
Total holds: 0

I Theory and Fundamentals -- 1 Variational Inequality Theory -- 2 Algorithms -- II Partial Equilibrium - Perfect Competition -- 3 Spatial Price Equilibrium -- 4 Traffic Network Equilibrium -- 5 Migration Equilibrium -- III Partial Equilibrium - Imperfect Competition -- 6 Oligopolistic Market Equilibrium -- IV General Equilibrium -- 7 Walrasian Price Equilibrium -- 8 Financial Equilibrium -- V Estimation -- 9 Constrained Matrix Problems.

Computational economics has been at the forefront in stimulating the de­ velopment of mathematical methodologies for the analysis and solution of complex, large-scale problems. The past decade, in particular, has witnessed a dramatic growth of interest in this area. Supported by the increasing avail­ ability of data and advances in computer architectures, the scale and scope of problems that can now be handled are unveiling new horizons in both theoretical modeling and policy analysis. Accompanying the activity in computational economics is a need for the unification, documentation, and presentation of fundamental methodologies for use by both researchers and practitioners. This volume aims to make a contribution in this direction. The focus of this book is on network economics. Physical networks are pervasive in today's society, be they in the form of transportation networks, telecommunication networks, energy pipelines, electric power networks, etc. Mathematical networks, on the other hand, may be used to represent not only physical networks but also interactions among economic agents. In many applications, the network representation of an economic equilibrium problem may be abstract in that the nodes of the network need not corre­ spond to locations in space and the links of the network to trade or travel routes.

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