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ABSTRACT
Spatial-equilibrium models are the primary framework for applied equilibrium modeling and policy analysis. An effective procedure for solving single commodity problems is described based on a variable dimension, complementary pivoting algorithm of Jones, Saigal, and Schneider. An implementation of this approach called the expanding equilibrium algorithm is described using network data structures and sparse graphs. The data structure that is used presorts the graph to avoid using linked lists while maintaining the flexibility to add arcs to the graph as the algorithm is executing. A computational experiment is developed showing the algorithm's ability to exploit the problem's underlying network and economic structure. Computational results are presented for a computer code written in C and tested on a large-scale, randomly generated problem.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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REVIEW
"Andre Walter Pollock : Reviewer"
The author has developed an effective implementation of the so-called
expanding equilibrium algorithm for solving the following economic
problem. There is a network joining spatially separated markets for a
single commodity. Each market has a li
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