Balancing large social accounting matrices with nonlinear network programming

Stavros A. Zenios; Arne Drud; John M. Mulvey

doi:10.1002/net.3230190507

Balancing large social accounting matrices with nonlinear network programming

Stavros A. Zenios, Arne Drud, John M. Mulvey

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

We formulate the problem of optimally adjusting the components of a large matrix to satisfy consistency requirements as a nonlinear network optimization model. An efficient network optimization algorithm—GENOS—is incorporated in a user friendly modeling system—GAMS. The resulting software is used for balancing large Social Accounting Matrices (SAM). We assemble a library of SAM models from developing countries and report computational results.

Original language	English (US)
Pages (from-to)	569-585
Number of pages	17
Journal	Networks
Volume	19
Issue number	5
DOIs	https://doi.org/10.1002/net.3230190507
State	Published - Aug 1989

All Science Journal Classification (ASJC) codes

Information Systems
Computer Networks and Communications

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10.1002/net.3230190507

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title = "Balancing large social accounting matrices with nonlinear network programming",

abstract = "We formulate the problem of optimally adjusting the components of a large matrix to satisfy consistency requirements as a nonlinear network optimization model. An efficient network optimization algorithm—GENOS—is incorporated in a user friendly modeling system—GAMS. The resulting software is used for balancing large Social Accounting Matrices (SAM). We assemble a library of SAM models from developing countries and report computational results.",

author = "Zenios, {Stavros A.} and Arne Drud and Mulvey, {John M.}",

year = "1989",

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doi = "10.1002/net.3230190507",

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pages = "569--585",

journal = "Networks",

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publisher = "Wiley-Liss Inc.",

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AU - Zenios, Stavros A.

AU - Drud, Arne

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PY - 1989/8

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N2 - We formulate the problem of optimally adjusting the components of a large matrix to satisfy consistency requirements as a nonlinear network optimization model. An efficient network optimization algorithm—GENOS—is incorporated in a user friendly modeling system—GAMS. The resulting software is used for balancing large Social Accounting Matrices (SAM). We assemble a library of SAM models from developing countries and report computational results.

AB - We formulate the problem of optimally adjusting the components of a large matrix to satisfy consistency requirements as a nonlinear network optimization model. An efficient network optimization algorithm—GENOS—is incorporated in a user friendly modeling system—GAMS. The resulting software is used for balancing large Social Accounting Matrices (SAM). We assemble a library of SAM models from developing countries and report computational results.

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U2 - 10.1002/net.3230190507

DO - 10.1002/net.3230190507

M3 - Article

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JO - Networks

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Balancing large social accounting matrices with nonlinear network programming

Abstract

All Science Journal Classification (ASJC) codes

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