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Učilnica FRI 25/26
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  4. Lecture slides for 2025/26 (updated continuously)

Lecture slides for 2025/26 (updated continuously)

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Slides are no substitution for lectures and textbooks. They mostly contain just keywords. Use them as a reminder of what to study.

    • AAHPS-01-Introduction.pdf AAHPS-01-Introduction.pdf
    • AAHPS-02-Computational complexity.pdf AAHPS-02-Computational complexity.pdf
    • AAHPS-03 Linear recurrences.pdf AAHPS-03 Linear recurrences.pdf
    • AAHPS-04 Probabilistic analysis and randomized algorithms.pdf AAHPS-04 Probabilistic analysis and randomized algorithms.pdf
    • AAHPS-05 Amortized analysis.pdf AAHPS-05 Amortized analysis.pdf
    • AAHPS-06-Parallel algorithms and time complexity.pdf AAHPS-06-Parallel algorithms and time complexity.pdf
    • AAHPS-07 Approximation algorithms.pdf AAHPS-07 Approximation algorithms.pdf
    • AAHPS-08 Linear programming.pdf AAHPS-08 Linear programming.pdf
    • AAHPS-09-Local search.pdf AAHPS-09-Local search.pdf
    • AAHPS-10-Metaheuristics.pdf AAHPS-10-Metaheuristics.pdf
    • AAHPS-11 Genetic and memetic algorithms.pdf AAHPS-11 Genetic and memetic algorithms.pdf
    • AAHPS-12 Swarm intelligence.pdf AAHPS-12 Swarm intelligence.pdf
    • AAHPS-13-Differential evolution.pdf AAHPS-13-Differential evolution.pdf
    • AAHPS-14-Nature inspired metaheuristics.pdf AAHPS-14-Nature inspired metaheuristics.pdf
    • AAHPS-15-Machine learning for combinatorial optimization.pdf AAHPS-15-Machine learning for combinatorial optimization.pdf
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