ALGORITHMS FOR SOLVING STOCHASTIC DISCRETE CONTROL PROBLEMS ON NETWORKS WITH VARYING TIME OF STATES’ TRANSITIONS OF THE DYNAMICAL SYSTEM

dc.contributor.authorCapcelea, Maria
dc.date.accessioned2015-11-12T13:37:55Z
dc.date.available2015-11-12T13:37:55Z
dc.date.issued2014
dc.description.abstractThe stochastic versions of discrete optimal control problem on networks with varying time of state transitions of the dinamical system are studied. Polynomial time algorithms for determining the optimal stationary strategies in this problems are proposed.en
dc.description.abstractÎn lucrare se examinează variantele stocastice ale problemei de control optimal discret pe reţele cu timp variabil de tranziţie între stările sistemului dinamic. Sunt propuşi algoritmi polinomiali pentru determinarea trategiilor optime staţionare.
dc.identifier.citationCAPCELEA, M. Algorithms for solving stochastic discrete control problems on networks with varying time of states’ transitions of the dynamical system. In: Studia Universitatis Moldaviae. Seria științe exacte și economice: Matematică. Informatică. Fizică. Economie. Revistă științifică. 2014, nr. 2(72), pp.8-14en
dc.identifier.issn1857-2073
dc.identifier.urihttp://studiamsu.eu/nr-2-72-2014/
dc.identifier.urihttps://msuir.usm.md/handle/123456789/183
dc.language.isoruen
dc.publisherCEP USMen
dc.subjectdiscrete processesen
dc.subjectstochastic optimal control problemen
dc.subjectprogramming approachen
dc.subjectprocese discreteen
dc.subjectalgoritm polinomialen
dc.titleALGORITHMS FOR SOLVING STOCHASTIC DISCRETE CONTROL PROBLEMS ON NETWORKS WITH VARYING TIME OF STATES’ TRANSITIONS OF THE DYNAMICAL SYSTEMen
dc.title.alternativeALGORITMI PENTRU REZOLVAREA PROBLEMELOR DE CONTROL OPTIMAL DISCRET PEREŢELE CU TIMP DE TRECERE VARIABIL ÎNTRE STĂRILE SISTEMULUI DINAMICen
dc.typeArticleen

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
02.-p.8-14.pdf
Size:
271.11 KB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections