Stochastic Recursive Algorithms application in tensor distance optimization

Kozubal, Adam

Thesis

Stochastic Recursive Algorithms application in tensor distance optimization

Defence Date

2017-10-06

Authors

Kozubal, Adam

Supervisors:

Danek, Tomasz

Reviewers:

Młynarczuk, Mariusz

Access rights

Access: zastrzeżony dostęp

Access details: Zarządzenie Rektora AGH

Rights: access rights reserved

Access rights reserved - License not granted

Other title

Zastosowanie Rekursywnych Algorytmów Stochastycznych do obliczania odległości pomiędzy tensorami

Resource type

praca dyplomowa, praca magisterska

Defence details

Degree Grantor: Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

AGH Unit: Wydział Geologii, Geofizyki i Ochrony Środowiska

Course: Informatyka Stosowana (WGGiOŚ)

Form of study: stacjonarne

Degree level: studia drugiego stopnia

Degree name: magister inżynier

Keywords

effective elasticity tensors, Stochastic Recursive Algorithms, Particle Swarm Optimization

Abstract

Presented 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.