Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на этот ресурс: http://hdl.handle.net/11701/5999
Полная запись метаданных
Поле DCЗначениеЯзык
dc.contributor.authorKotsios, Stelios-
dc.contributor.authorKostarakos, Ilias-
dc.date.accessioned2017-02-09T09:26:27Z-
dc.date.available2017-02-09T09:26:27Z-
dc.date.issued2016-12-
dc.identifier.citationKotsios S., Kostarakos I. Controlling national income and public debt via fiscal policy. A model matching algorithmic approach. Vestnik of Saint Petersburg University. Series 10. Applied mathematics. Computer science. Control processes, 2016, issue 4, pp. 86–91.en_GB
dc.identifier.other10.21638/11701/spbu10.2016.408-
dc.identifier.urihttp://hdl.handle.net/11701/5999-
dc.description.abstractOur aim in this paper is to present an application of the exact model matching approach to a linear, discrete macroeconomic model with delays. The solution is based on algebraic methods and the development, in computer algebra software, of appropriate symbolic algorithms that produce a class of feedback laws as a solution. These feedback laws constitute a class of potential policies that the policymaker can implement on the system and modify its dynamics so that predetermined, desired targets are met. In order to see the effects of different policies, we implement two feedback laws on the system at hand. Refs 9. Table 1.en_GB
dc.language.isoenen_GB
dc.publisherSt Petersburg State Universityen_GB
dc.relation.ispartofseriesVestnik of Saint Petersburg University. Series 10. Applied Mathematics. Computer Science. Control Processes;Issue 4-
dc.subjectalgebraic methodsen_GB
dc.subjectlinear discrete systemsen_GB
dc.subjectmodel matchingen_GB
dc.subjectsymbolic algorithmsen_GB
dc.titleControlling national income and public debt via fiscal policy. A model matching algorithmic approachen_GB
dc.typeArticleen_GB
Располагается в коллекциях:Issue 4

Файлы этого ресурса:
Файл Описание РазмерФормат 
08-Kotsios.pdf243,31 kBAdobe PDFПросмотреть/Открыть


Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.