50 lines
2.1 KiB
C++
50 lines
2.1 KiB
C++
#include <iostream>
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#include <algorithm> // std::nth_element
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#include "fileHandler.h"
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#include "Timing.h"
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#include "MedianQuicksort.h"
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#include "MedianOfMedians.h"
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#include "RandomizedSelect.h"
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int main(int argc, char** argv) {
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// read test values from input file
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Timing::getInstance()->startRecord("init");
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std::vector<size_t> numbers = readFromFile("testdata");
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std::cout << "just read " << numbers.size() << " values" << std::endl;
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Timing::getInstance()->stopRecord("init");
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// index of median -> if odd count +1
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size_t idxMed = numbers.size() / 2;
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std::cout << "median = " << idxMed << std::endl;
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if (idxMed - (int)idxMed > 0) idxMed++;
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// vollständige Sortierung mit Quicksort und Ausgabe des mittleren Elements
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Timing::getInstance()->startRecord("quicksort");
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std::cout << "quicksort median: " << getQuicksortMedian(numbers, idxMed) << std::endl;
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Timing::getInstance()->stopRecord("quicksort");
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// vorgestellter Randomzized - Select rekursiv implementiert
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Timing::getInstance()->startRecord("randomized select");
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std::cout << "randomized select: " << randomizedSelect(numbers, 0, numbers.size() - 1, idxMed) << std::endl;
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Timing::getInstance()->stopRecord("randomized select");
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// ein weiterer Median - Algorithmus aus der Literatur
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Timing::getInstance()->startRecord("median of medians");
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std::cout << "median of medians: " << getMedianOfMedians(numbers, idxMed) << std::endl;
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Timing::getInstance()->stopRecord("median of medians");
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// noch ein ein weiterer Median - Algorithmus weil wir so cool sind
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Timing::getInstance()->startRecord("wirth");
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Timing::getInstance()->stopRecord("wirth");
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// Verwendung des C++ STL function templates nth_element
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Timing::getInstance()->startRecord("nth element");
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std::nth_element(numbers.begin(), numbers.begin() + idxMed, numbers.end());
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std::cout << "nth element: " << numbers[idxMed] << std::endl;
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Timing::getInstance()->stopRecord("nth element");
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//Timing::getInstance()->getResults();
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Timing::getInstance()->print();
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return 0;
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} |