{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,5]],"date-time":"2025-03-05T05:39:39Z","timestamp":1741153179160,"version":"3.38.0"},"reference-count":28,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[1991,3,1]],"date-time":"1991-03-01T00:00:00Z","timestamp":667785600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["The International Journal of Supercomputing Applications"],"published-print":{"date-parts":[[1991,3]]},"abstract":"<jats:p> 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. <\/jats:p>","DOI":"10.1177\/109434209100500106","type":"journal-article","created":{"date-parts":[[2007,3,18]],"date-time":"2007-03-18T05:39:00Z","timestamp":1174196340000},"page":"90-95","source":"Crossref","is-referenced-by-count":1,"title":["Parallel Processing for Large-Scale Nonlinear Control Experiments in Economics"],"prefix":"10.1177","volume":"5","author":[{"given":"Hans M.","family":"Amman","sequence":"first","affiliation":[{"name":"DEPARTMENT OF MACROECONOMICS UNIVERSITY OF AMSTERDAM\rAMSTERDAM, THE NETHERLANDS"}]},{"given":"David A.","family":"Kendrick","sequence":"additional","affiliation":[{"name":"DEPARTMENT OF ECONOMICS UNIVERSITY OF TEXAS AT AUSTIN\rAUSTIN, TEXAS 78712"}]}],"member":"179","published-online":{"date-parts":[[1991,3,1]]},"reference":[{"key":"atypb1","first-page":"483","volume":"30","author":"Amdahl, G.","year":"1967","journal-title":"AFIPS Conf. 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