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Assignment 2 of Randomized Algorithms course (Master in Innovation and Research in Informatics), Fall 2022

Shell 6.39% C 93.61%
fib quickselect randomized-algorithm statistics randomized-median

ra-selection-aglorithms's Introduction

RA-selection-aglorithms

This files correspond to the submitted version of Assignment #2 for Randomized Algorithms course (Master in Innovation and Research in Informatics), Fall 2022

Author: Irene Simó Muñoz

Date: November 6th 2022


Contents:

  • "Report2_ISM.pdf": Report of the assignment in PDF format
  • "quickselect.c": C script for Randomized Quickselect experiment
    • $ ./quickselect <size_of_array> <j-th_element>
  • "floydrivest.c": C script for Floyd-Rivest (or Randomized Median) experiment
    • $ ./floydrivest <size_of_array>
  • "quickselect-median-of-t.c": C script for the Bonus section, Median-of-(2t+1) Quickselect
    • $ ./quickselect-median-of-t <size_of_array> <j-th_element>
  • "statisctics.c": C script performing mean and standard deviation computations
    • $ ./statistics <path_of_txt_file> <rows> <columns>
  • "compiler": Bash script used to perform multiple runs of the experiments
  • "/out": Directory with all needed subdirectories created. Experimental data is not included due to file size management issues.

Instructions on experiment repetition:

The experiments can be run with bash script script. The script is provided with all lines commented; uncomment blocks to run experiments. Final results are stored in a "Stats.txt" file inside /out directory.


Requirements:

  • C compiler (libraries stdlib.h, stdio.h, math.h, stdbool.h and time.h)

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