prikaz prve stranice dokumenta Stohastička optimizacija i metoda adaptivnog kaljenja
  Download
PDF 1.58 MB
master's thesis
Stohastička optimizacija i metoda adaptivnog kaljenja
Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2017. urn:nbn:hr:126:666783
Radojičić, Una
Josip Juraj Strossmayer University of Osijek
Department of Mathematics
Chair of Pure Mathematics and Mathematics Teaching
Probability, Mathematical Statistics and Data Science Research Group

Cite this document

Radojičić, U. (2017). Stohastička optimizacija i metoda adaptivnog kaljenja (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:126:666783

Radojičić, Una. "Stohastička optimizacija i metoda adaptivnog kaljenja." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2017. https://urn.nsk.hr/urn:nbn:hr:126:666783

Radojičić, Una. "Stohastička optimizacija i metoda adaptivnog kaljenja." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2017. https://urn.nsk.hr/urn:nbn:hr:126:666783

Radojičić, U. (2017). 'Stohastička optimizacija i metoda adaptivnog kaljenja', Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, accessed 27 September 2023, https://urn.nsk.hr/urn:nbn:hr:126:666783

Radojičić U. Stohastička optimizacija i metoda adaptivnog kaljenja [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics; 2017 [cited 2023 September 27] Available at: https://urn.nsk.hr/urn:nbn:hr:126:666783

U. Radojičić, "Stohastička optimizacija i metoda adaptivnog kaljenja", Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, Osijek, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:126:666783

Please login to the repository to save this object to your list.
Metadata
TitleStohastička optimizacija i metoda adaptivnog kaljenja
Title (english)Stohastic Optimization and Adaptive Annealing Method
AuthorUna Radojičić
MentorDanijel Grahovac (mentor)
Committee memberSnježana Majstorović (predsjednik povjerenstva)
Committee memberDanijel Grahovac (član povjerenstva)
Committee memberDarija Marković (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Department of Mathematics
(Chair of Pure Mathematics and Mathematics Teaching)
(Probability, Mathematical Statistics and Data Science Research Group)
Osijek
Defense date and country2017-09-15, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Probability Theory and Statistics
Abstract
U ovom radu predstavit ćemo nekoliko metoda za uzorkovanje iz distribucije te ćemo ih povezati s problemom globalne optimizacije. Predstavit ćemo nekoliko stohastičkih optimizacijskih algoritama kao što su simulirano kaljenje za funkcije definirane na diskretnom setu, te generalizacije istoga na općenitije skupove. Na kraju, predstavit ćemo metodu adaptivnog kaljenja za jednodimenzionalnu optimizaciju, te ćemo testirati metodu na konkretnim primjerima.
Abstract (english)
This work provides a summary of several methods for sampling from distributions and connects them with global optimization problem. We will present some stochastic optimization algorithms such as Simulated Annealing for functions defined on discrete sets, and its generalisation to functions defined on more general sets. At the end, we will present the one-dimensional Adaptive Annealing method and we will test its preformance on functions with a lot of local minima
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:126:666783
Study programmeTitle: Mathematics; specializations in: Financial and Statistical Mathematics, Mathematics and Computer Science, Industrial and Applied Mathematics
Course: Financial and Statistical Mathematics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra matematike (magistar/magistra matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
RepositoryRepository of School of Applied Mathematics and Computer Science
Created on2017-09-18 10:11:13