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| template<class T1 , class T2 > |
| bool | mrpt::math::approximatelyEqual (T1 a, T1 b, T2 epsilon) |
| | Compare 2 floats and determine whether they are equal. More...
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| template<class T > |
| bool | mrpt::math::approximatelyEqual (T a, T b) |
| | Compare 2 floats and determine whether they are equal. More...
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| template<class T > |
| T | mrpt::math::absDiff (const T &lhs, const T &rhs) |
| | Absolute difference between two numbers. More...
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| bool | mrpt::math::loadVector (std::istream &f, std::vector< int > &d) |
| | Loads one row of a text file as a numerical std::vector. More...
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| bool | mrpt::math::loadVector (std::istream &f, std::vector< double > &d) |
| | Loads one row of a text file as a numerical std::vector. More...
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| void | mrpt::math::medianFilter (const std::vector< double > &inV, std::vector< double > &outV, int winSize, int numberOfSigmas=2) |
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| template<typename T , typename VECTOR > |
| void | mrpt::math::linspace (T first, T last, size_t count, VECTOR &out_vector) |
| | Generates an equidistant sequence of numbers given the first one, the last one and the desired number of points. More...
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| template<class T , T STEP> |
| std::vector< T > | mrpt::math::sequenceStdVec (T first, size_t length) |
| | Generates a sequence of values [first,first+STEP,first+2*STEP,...]. More...
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| template<class VEC1 , class VEC2 > |
| void | mrpt::math::normalize (const VEC1 &v, VEC2 &out_v) |
| | Normalize a vector, such as its norm is the unity. More...
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| template<class VECTOR_OF_VECTORS , class VECTORLIKE > |
| void | mrpt::math::extractColumnFromVectorOfVectors (const size_t colIndex, const VECTOR_OF_VECTORS &data, VECTORLIKE &out_column) |
| | Extract a column from a vector of vectors, and store it in another vector. More...
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| uint64_t | mrpt::math::factorial64 (unsigned int n) |
| | Computes the factorial of an integer number and returns it as a 64-bit integer number. More...
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| double | mrpt::math::factorial (unsigned int n) |
| | Computes the factorial of an integer number and returns it as a double value (internally it uses logarithms for avoiding overflow). More...
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| std::string | mrpt::math::MATLAB_plotCovariance2D (const CMatrixFloat &cov22, const CVectorFloat &mean, float stdCount, const std::string &style=std::string("b"), size_t nEllipsePoints=30) |
| | Generates a string with the MATLAB commands required to plot an confidence interval (ellipse) for a 2D Gaussian ('float' version). More...
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| std::string | mrpt::math::MATLAB_plotCovariance2D (const CMatrixDouble &cov22, const CVectorDouble &mean, float stdCount, const std::string &style=std::string("b"), size_t nEllipsePoints=30) |
| | Generates a string with the MATLAB commands required to plot an confidence interval (ellipse) for a 2D Gaussian ('double' version). More...
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| template<typename VECTOR_T , typename At , size_t N> |
| VECTOR_T & | mrpt::math::loadVector (VECTOR_T &v, At(&theArray)[N]) |
| | Assignment operator for initializing a std::vector from a C array (The vector will be automatically set to the correct size). More...
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| template<typename T , typename At , size_t N> |
| std::vector< T > & | mrpt::math::loadVector (std::vector< T > &v, At(&theArray)[N]) |
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| template<class TRIPLET > |
| bool | mrpt::math::saveEigenSparseTripletsToFile (const std::string &sFile, std::vector< TRIPLET > &tri) |
| | Saves to a plain-text file the nonzero entries of a Eigen sparse matrix, represented as a vector of triplets. More...
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