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Učilnica FRI 22/23
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AAHPS
홈
달력
Analysis of Algorithms and Heuristic Problem Solving
홈
강좌
Undergraduate Programs
University study Computer and Information Science
3rd year
Algorithms and System Utilities
AAHPS
공통
Optimization packages in R
Optimization packages in R
Povezave na različne metode optimizacije v Rju
자원을 열려면
http://cran.r-project.org/web/views/Optimization.html
링크를 클릭
◄ Sedgewick & Flajolet: An Introduction to the Analysis of Algorithms
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Course description 2022/23
Announcements
Questions and discussions
Lecture slides for 2022/23
The videos of the 2020/21 lectures are available in MS Teams, UL FRI AAHPS team, use the code 71t44n9 for access.
Quiz 1
Quiz 2
Quiz 3
Quiz 4
Quiz 5
Sedgewick & Flajolet: An Introduction to the Analysis of Algorithms
Use of optimization package
Interesting articles
Old exams
A sample of oral exam questions for 2020/21 exams.
Asymptotic Notation
Recurrence solving: Tree method and substitution
Recurrence solving 2: Masters, Akra-Bazzi, Annihilators
Usefull equations for Masters and Akra-Bazzi
Assignment 1
Assignment 1
Recurrence solving 2: Masters, Akra-Bazzi, Annihilators
Time complexity - external link
Usefull equations for Masters and Akra-Bazzi
Probabilistic analaysis
Amortized analysis
Assignment 2
Assignment 2
Approximation algorithms
Assignment 3
Assignment 3
Introduction to R
Linear programming
Linear programming with solutions
Quadratic programming
Simulated annealing
Tabu Search
Metaheuristics
Variable Neighborhood Search
Guided Local Search
Assignment 4
Assignment 4
Assignment 5
Spreadsheet with team names and results
An example of solutions for random search
Assignment 5
Differential evolution
DE Basic Implementation
Description of DE in textbook Computational Intelligence - An Introduction
Das et al. (2016): Recent advances in differential evolution – An updated survey,
Package GA for R
Basic GA
Exam 25.1.2018
Exam 9.2.2018
Use of optimization package ►