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  1. AAHPS
  2. Lecture slides for 2022/23

Lecture slides for 2022/23

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.pdfAAHPS-01-Introduction.pdf
    • AAHPS-02-Computational complexity.pdfAAHPS-02-Computational complexity.pdf
    • AAHPS-03 Linear recurrences.pdfAAHPS-03 Linear recurrences.pdf
    • AAHPS-04 Probabilistic analysis and randomized algorithms.pdfAAHPS-04 Probabilistic analysis and randomized algorithms.pdf
    • AAHPS-05 Amortized analysis.pdfAAHPS-05 Amortized analysis.pdf
    • AAHPS-06-Parallel algorithms and time complexity.pdfAAHPS-06-Parallel algorithms and time complexity.pdf
    • AAHPS-07 Approximation algorithms.pdfAAHPS-07 Approximation algorithms.pdf
    • AAHPS-08 Linear programming.pdfAAHPS-08 Linear programming.pdf
    • AAHPS-09-Local search.pdfAAHPS-09-Local search.pdf
    • AAHPS-10-Metaheuristics.pdfAAHPS-10-Metaheuristics.pdf
    • AAHPS-11 Genetic and memetic algorithms.pdfAAHPS-11 Genetic and memetic algorithms.pdf
    • AAHPS-12 Swarm intelligence.pdfAAHPS-12 Swarm intelligence.pdf
    • AAHPS-13-Differential evolution.pdfAAHPS-13-Differential evolution.pdf
    • AAHPS-14-Nature inspired metaheuristics.pdfAAHPS-14-Nature inspired metaheuristics.pdf
    • AAHPS-15-Machine learning for combinatorial optimization.pdfAAHPS-15-Machine learning for combinatorial optimization.pdf
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The videos of the 2020/21 lectures are available in MS Teams, UL FRI AAHPS team, use the code 71t44n9 for access. ►
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