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undergraduate thesis
Usporedba radnih svojstava balansiranih i nebalansiranih binarnih stabala
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. urn:nbn:hr:168:106464
Pranjić, Nicky
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Pranjić, N. (2018). Usporedba radnih svojstava balansiranih i nebalansiranih binarnih stabala (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:106464

Pranjić, Nicky. "Usporedba radnih svojstava balansiranih i nebalansiranih binarnih stabala." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:106464

Pranjić, Nicky. "Usporedba radnih svojstava balansiranih i nebalansiranih binarnih stabala." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:106464

Pranjić, N. (2018). 'Usporedba radnih svojstava balansiranih i nebalansiranih binarnih stabala', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:106464

Pranjić N. Usporedba radnih svojstava balansiranih i nebalansiranih binarnih stabala [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 December 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:106464

N. Pranjić, "Usporedba radnih svojstava balansiranih i nebalansiranih binarnih stabala", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:106464

Metadata
TitleUsporedba radnih svojstava balansiranih i nebalansiranih binarnih stabala
Title (english)Performance Evaluation of Balanced and Unbalanced Binary Trees
AuthorNicky Pranjić
MentorDejan Škvorc (mentor)
Committee memberDejan Škvorc (predsjednik povjerenstva)
Committee memberMartin Soldić (član povjerenstva)
Committee memberMladen Karan (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-09-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Svrha ovog rada je upoznavanje s AVL, crveno crnim i splay stablima kroz koje se objašnjavaju osnovni algoritmi i principi rada samih stabala. Izvršeni su različiti eksperimenti sa različitim skupovima podataka te su analizirana vremena izvođenja operacija umetanja, brisanja i traženja. Iz dobivenih podataka izvedeni su zaključci u kojima se pokazuju prednosti i nedostatci svakog pojedinog stabla te se opisuje u kojim situacijama bi bilo dobro ili loše koristiti neko od navedenih stabala.
Abstract (english)
This Bachelor Thesis is an introduction to AVL, red black and splay binary trees with purpose of explaining the basic algorithms and principles of how these trees work. Multiple experiments have been done with diverse data sets to analyze the performances of insert, delete and search operations. Advantages and disadvantages have been shown of each binary tree and it has been discussed in which situations each tree should be used.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:106464
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-14 00:10:41