20.500.12556/DKUM-82782 Optimiranje nelinearnih nepogojenih problemov z determinističnimi in stohastičnimi metodami diplomsko delo univerzitetnega študijskega programa I. stopnje Optimization of nonlinear unconstrained problems by deterministic and stochastic methods Diplomska naloga je prikazana z opisom nelinearnih nepogojenih optimizacijskih problemov računalniških kod v programu Python. Naš problem se je nanašal okoli dveh determinističnih in stohastičnih metod reševanja. Diplomsko delo vsebuje opisane modele, ki smo jih programirali in z njimi reševali osnovne ter zahtevne enačbe. Namen diplomskega dela je bil programiranje enačb v program Python in njegove rešitve premerjat z različno zahtevnimi problemi. Ugotovili smo, kako programirat nelinearne probleme z programskim orodjem in sestavit primeren model za njegovo delovanje. Rezultate smo primerjali glede na enačbe z eno in več spremenljivkami, ter z različnim programskim orodjem. The thesis is presented by describing nonlinear unconditioned optimisation problems of computer codes in Python. Our problem was related around two deterministic and stochastic solution methods. The thesis contains the described models that we programmed and used to solve basic and complex equations. The aim of the thesis was to program the equations in Python and to compare its solutions with differently challenging problems. We found out how to program non-linear problems with the programming tool and build a suitable model for its operation. We compared the results with respect to equations with one and several variables, and with different software tools. Python optimiranje programiranje nelinearni problemi Python optimisation programming nonlinear problems true true false [L. Anderlič] Slovenski jezik Angleški jezik Diplomsko delo/naloga 2022-09-01 18:47:28 2022-09-19 11:52:14 2022-11-25 03:09:33 0000-00-00 00:00:00 2022 0 Maribor 0 Maribor 1 spletni vir (1 datoteka PDF (VIII, 40 f.)) 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 66.02:004.43(043.2) 130703875 VS_Anderlic_Lovro_2022.pdf VS_Anderlic_Lovro_2022.pdf 1 F64B67918B85F2682AA855DFB142D448 693619b85b04d8a347e5098045d8bceb07d2578658926a972829b7a7034351c6 6d342f1a-3798-11ed-83c3-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=162895 Fakulteta za kemijo in kemijsko tehnologijo 0 0 0