Abstract
In this chapter the focus is on constrained matrix problems, the solutions of which are needed to create base-line datasets for use in equilibrium modeling. The constrained matrix problem is to compute the best possible estimate of an unknown matrix, given some information to constrain the solution set, and requiring that the matrix be a minimum distance from a given matrix. The problem arises as a core problem in numerous applications, including: the estimation of input/output tables, social/national accounts, and financial flow of funds accounts, the projection of migration flows over space and time, the projection of origin/destination transportation flows, and the estimation of contingency tables in statistics.
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Nagurney, A. (1999). Constrained Matrix Problems. In: Network Economics. Advances in Computational Economics, vol 10. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3005-0_11
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DOI: https://doi.org/10.1007/978-1-4757-3005-0_11
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