Parallel processing for large-scale nonlinear control experiments in economics

Journal Article · Tue Jan 01 00:00:00 EST 1991 · International Journal of Supercomputer Applications; (United States)

DOI:https://doi.org/10.1177/109434209100500106· OSTI ID:5019059

Amman, H M ^[1]; Kendrick, D A ^[2]

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1. Dept. of Macroeconomics, Univ. of Amsterdam, Amsterdam (NL)
2. Texas Univ., Austin, TX (United States). Dept. of Economics

In general, the econometric models relevant for purposes 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 algorithm for computing nonlinear control problems and investigates the degree to which vector processing and parallel processing can facilitate optimal control experiments.

• OSTI ID: 5019059
• Journal Information: International Journal of Supercomputer Applications; (United States), Vol. 5:1; ISSN 0890-2720
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
29 ENERGY PLANNING
POLICY AND ECONOMY
ECONOMIC POLICY
EQUATIONS
OPTIMAL CONTROL
NONLINEAR PROBLEMS
ALGORITHMS
CONTROL
GOVERNMENT POLICIES
MATHEMATICAL LOGIC
990200* - Mathematics & Computers
290200 - Energy Planning & Policy- Economics & Sociology