Mercurial > hg > segmenter-vamp-plugin
comparison armadillo-2.4.4/include/armadillo_bits/op_stddev_meat.hpp @ 0:8b6102e2a9b0
Armadillo Library
author | maxzanoni76 <max.zanoni@eecs.qmul.ac.uk> |
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date | Wed, 11 Apr 2012 09:27:06 +0100 |
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-1:000000000000 | 0:8b6102e2a9b0 |
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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) | |
12 | |
13 | |
14 //! \addtogroup op_stddev | |
15 //! @{ | |
16 | |
17 | |
18 //! \brief | |
19 //! For each row or for each column, find the standard deviation. | |
20 //! The result is stored in a dense matrix that has either one column or one row. | |
21 //! The dimension for which the standard deviations are found is set via the stddev() function. | |
22 template<typename T1> | |
23 inline | |
24 void | |
25 op_stddev::apply(Mat<typename T1::pod_type>& out, const mtOp<typename T1::pod_type, T1, op_stddev>& in) | |
26 { | |
27 arma_extra_debug_sigprint(); | |
28 | |
29 typedef typename T1::elem_type in_eT; | |
30 typedef typename T1::pod_type out_eT; | |
31 | |
32 const unwrap_check_mixed<T1> tmp(in.m, out); | |
33 const Mat<in_eT>& X = tmp.M; | |
34 | |
35 const uword norm_type = in.aux_uword_a; | |
36 const uword dim = in.aux_uword_b; | |
37 | |
38 arma_debug_check( (norm_type > 1), "stddev(): incorrect usage. norm_type must be 0 or 1"); | |
39 arma_debug_check( (dim > 1), "stddev(): incorrect usage. dim must be 0 or 1" ); | |
40 | |
41 const uword X_n_rows = X.n_rows; | |
42 const uword X_n_cols = X.n_cols; | |
43 | |
44 if(dim == 0) | |
45 { | |
46 arma_extra_debug_print("op_stddev::apply(), dim = 0"); | |
47 | |
48 arma_debug_check( (X_n_rows == 0), "stddev(): given object has zero rows" ); | |
49 | |
50 out.set_size(1, X_n_cols); | |
51 | |
52 out_eT* out_mem = out.memptr(); | |
53 | |
54 for(uword col=0; col<X_n_cols; ++col) | |
55 { | |
56 out_mem[col] = std::sqrt( op_var::direct_var( X.colptr(col), X_n_rows, norm_type ) ); | |
57 } | |
58 } | |
59 else | |
60 if(dim == 1) | |
61 { | |
62 arma_extra_debug_print("op_stddev::apply(), dim = 1"); | |
63 | |
64 arma_debug_check( (X_n_cols == 0), "stddev(): given object has zero columns" ); | |
65 | |
66 out.set_size(X_n_rows, 1); | |
67 | |
68 podarray<in_eT> tmp(X_n_cols); | |
69 | |
70 in_eT* tmp_mem = tmp.memptr(); | |
71 out_eT* out_mem = out.memptr(); | |
72 | |
73 for(uword row=0; row<X_n_rows; ++row) | |
74 { | |
75 tmp.copy_row(X, row); | |
76 | |
77 out_mem[row] = std::sqrt( op_var::direct_var( tmp_mem, X_n_cols, norm_type) ); | |
78 } | |
79 } | |
80 } | |
81 | |
82 | |
83 | |
84 //! @} | |
85 |