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Stochastic Recursive Algorithms application in tensor distance optimization

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dc.contributor.authorKozubal, Adam
dc.contributor.departmentWydział Geologii, Geofizyki i Ochrony Środowiska
dc.contributor.reviewerMłynarczuk, Mariusz
dc.contributor.supervisorDanek, Tomasz
dc.date.available2018-11-13T10:00:11Z
dc.date.defence2017-10-06
dc.date.submitted2017-09-28
dc.description.abstractPresented thesis describes Stochastic Recursive Algorithms application in a tensor distance optimization. Problem of the effective tensor evaluation was chosen as a real scenario for tensor distance optimization. For the purpose of this studies application was written in C language under Linux OS. What is more author implemented and discussed own algorithm to solves presented problem.en
dc.description.typepraca magisterska
dc.identifier.other323/17pl
dc.identifier.urihttps://repo.agh.edu.pl/handle/AGH/63974
dc.language.isoeng
dc.rightsAccess rights reserved
dc.rights.accesszastrzeżony dostęp
dc.rights.accessNoteZarządzenie Rektora AGH
dc.rights.urihttps://repo.agh.edu.pl/info/restricted-access
dc.subjecteffective elasticity tensorsen
dc.subjectStochastic Recursive Algorithmsen
dc.subjectParticle Swarm Optimizationen
dc.titleStochastic Recursive Algorithms application in tensor distance optimizationen
dc.title.alternativeZastosowanie Rekursywnych Algorytmów Stochastycznych do obliczania odległości pomiędzy tensoramipl
dc.typepraca dyplomowa
dspace.entity.typePublication
thesis.degree.disciplineInformatyka Stosowana (WGGiOŚ)pl
thesis.degree.formOfStudystacjonarnepl
thesis.degree.grantorAkademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowiepl
thesis.degree.levelstudia drugiego stopniapl
thesis.degree.namemagister inżynierpl
thesis.description.otherinfoCorrect – DRS, courseIDpl
thesis.identifier.dxp203102
thesis.statusORPDORPPD1_sent

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