#include <OpenMS/ANALYSIS/OPENSWATH/OPENSWATHALGO/OpenSwathAlgoConfig.h>
#include <algorithm>
#include <cmath>
#include <complex>
#include <numeric>
#include <vector>
#include <cstddef>
Go to the source code of this file.
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OPENSWATHALGO_DLLAPI void | normalize (const std::vector< double > &intensities, double normalization_factor, std::vector< double > &normalized_intensities) |
| Normalize intensities in vector by normalization_factor. More...
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template<typename T > |
double | norm (T beg, T end) |
| compute the norm of the vector More...
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template<typename Texp , typename Ttheo > |
double | dotProd (Texp intExpBeg, Texp intExpEnd, Ttheo intTheo) |
| compute dotprod of vectors More...
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OPENSWATHALGO_DLLAPI double | dotprodScoring (std::vector< double > intExp, std::vector< double > theorint) |
| the dot product scoring More...
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template<typename Texp , typename Ttheo > |
double | manhattanDist (Texp itExpBeg, Texp itExpEnd, Ttheo itTheo) |
| compute manhattan distance between Exp and Theo More...
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OPENSWATHALGO_DLLAPI double | manhattanScoring (std::vector< double > intExp, std::vector< double > theorint) |
| manhattan scoring More...
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template<typename TInputIterator , typename TInputIteratorY > |
std::iterator_traits< TInputIterator >::value_type | cor_pearson (TInputIterator xBeg, TInputIterator xEnd, TInputIteratorY yBeg) |
| compute pearson correlation of vector x and y More...
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