op_var_bones.hpp
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1 // Copyright (C) 2009-2011 NICTA (www.nicta.com.au)
2 // Copyright (C) 2009-2011 Conrad Sanderson
3 //
4 // This file is part of the Armadillo C++ library.
5 // It is provided without any warranty of fitness
6 // for any purpose. You can redistribute this file
7 // and/or modify it under the terms of the GNU
8 // Lesser General Public License (LGPL) as published
9 // by the Free Software Foundation, either version 3
10 // of the License or (at your option) any later version.
11 // (see http://www.opensource.org/licenses for more info)
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20 class op_var
21  {
22  public:
23 
24  template<typename eT>
25  inline static eT direct_var(const eT* const X, const uword N, const uword norm_type = 0);
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27  template<typename T>
28  inline static T direct_var(const std::complex<T>* const X, const uword N, const uword norm_type = 0);
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31  template<typename eT>
32  inline static typename get_pod_type<eT>::result direct_var(const subview_row<eT>& X, const uword norm_type = 0);
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34  template<typename eT>
35  inline static typename get_pod_type<eT>::result direct_var(const subview_col<eT>& X, const uword norm_type = 0);
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37  template<typename eT>
38  inline static typename get_pod_type<eT>::result direct_var(const diagview<eT>& X, const uword norm_type = 0);
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41  template<typename T1>
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45  template<typename eT>
46  inline static eT direct_var_robust(const eT* const X, const uword N, const uword norm_type = 0);
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48  template<typename T>
49  inline static T direct_var_robust(const std::complex<T>* const X, const uword N, const uword norm_type = 0);
50  };
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u32 uword
Definition: typedef.hpp:85
static eT direct_var(const eT *const X, const uword N, const uword norm_type=0)
find the variance of an array
Definition: op_var_meat.hpp:22
static eT direct_var_robust(const eT *const X, const uword N, const uword norm_type=0)
find the variance of an array (robust but slow)
Class for finding variance values of a matrix.
Dense matrix class.
static void apply(Mat< typename T1::pod_type > &out, const mtOp< typename T1::pod_type, T1, op_var > &in)
For each row or for each column, find the variance. The result is stored in a dense matrix that has e...
Class for storing data required to extract and set the diagonals of a matrix.


armadillo_matrix
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autogenerated on Fri Apr 16 2021 02:31:58