HEAL DSpace

Στοχαστικοί εκτιμητές του ίχνους συναρτήσεων πινάκων

Αποθετήριο DSpace/Manakin

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dc.contributor.author Φίκα, Παρασκευή el
dc.contributor.author Fika, Paraskevi en
dc.date.accessioned 2017-01-13T09:10:37Z
dc.date.available 2017-01-13T09:10:37Z
dc.date.issued 2017-01-13
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/44200
dc.identifier.uri http://dx.doi.org/10.26240/heal.ntua.6318
dc.rights Default License
dc.subject Στοχαστικός εκτιμητής el
dc.subject Ίχνος el
dc.subject Συνάρτηση πίνακα el
dc.title Στοχαστικοί εκτιμητές του ίχνους συναρτήσεων πινάκων el
heal.type masterThesis
heal.classification ΜΑΘΗΜΑΤΙΚΑ el
heal.classificationURI http://data.seab.gr/concepts/da4b9237bacccdf19c0760cab7aec4a8359010b0
heal.language el
heal.access free
heal.recordProvider ntua el
heal.publicationDate 2016-03-02
heal.abstract In this postgraduate work, stochastic estimates for the trace of functions of matrices, denoted as Tr(f(A)), are developed, where f is a suitable function and A is a symmetric matrix. This aims to the avoidance of the explicit computation of the matrix f(A). The trace of a matrix function arises in many disciplines such as in physics, in statistics, in network analysis, etc. The computation of a function of a matrix A can have a high computational cost, especially for large matrices that are required in applications. Therefore, it is necessary to estimate the trace of f(A). Stochastic estimates have been proposed, which are based on the computation of the quantity \sum_1^N x_i^T f(A)x_i /N for different sample vectors x_i, where N is the sample size (the number of the sample vectors). It can be proved that the expected value of the quantity x^T f(A)x, for suitable vector x and symmetric matrix A, equals to the Tr(f(A)). Moreover, since the proposed estimates are of a statistical nature, it is natural to expect that the application of some statistical designs may improve their quality and their effectiveness in estimating the trace Tr(f(A)). Various statistical designs will be compared and numerical examples stemming from real applications will be discussed. en
heal.advisorName Κουκουβίνος, Χρήστος el
heal.committeeMemberName Βόντα, Φιλία el
heal.committeeMemberName Σπηλιώτης, Ιωάννης el
heal.committeeMemberName Κουκουβίνος, Χρήστος el
heal.academicPublisher Εθνικό Με5τσόβιο Πολυτεχνείο. Σχολή Εφαρμοσμένων Μαθηματικών και Φυσικών Επιστημών el
heal.academicPublisherID ntua
heal.numberOfPages 78 σ. el
heal.fullTextAvailability true


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