Parallel Processing for Large-Scale Nonlinear Control Experiments in Economics

Parallel Processing for Large-Scale Nonlinear Control Experiments in Economics

In general, the econometric models relevant for pur poses of evaluating economic policy contain a large number of nonlinear equations. Therefore, in applying optimal control techniques, computational difficulties are encountered. This paper presents the most common al gorithm for computing nonlinear...

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Veröffentlicht in:The International journal of supercomputer applications 1991-03, Vol.5 (1), p.90-95
Hauptverfasser: Amman, Hans M., Kendrick, David A.
Format: Artikel
Sprache:eng
Schlagworte:
290200 - Energy Planning & Policy- Economics & Sociology
990200 - Mathematics & Computers
ALGORITHMS
CONTROL
ECONOMIC POLICY
ENERGY PLANNING, POLICY AND ECONOMY
EQUATIONS
GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
GOVERNMENT POLICIES
MATHEMATICAL LOGIC
NONLINEAR PROBLEMS
OPTIMAL CONTROL
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Beschreibung
Zusammenfassung:In general, the econometric models relevant for pur poses of evaluating economic policy contain a large number of nonlinear equations. Therefore, in applying optimal control techniques, computational difficulties are encountered. This paper presents the most common al gorithm for computing nonlinear control problems and investigates the degree to which vector processing and parallel processing can facilitate optimal control experiments.
ISSN:1094-3420
0890-2720
1741-2846
DOI:10.1177/109434209100500106