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问题:
my program manipulates STL vectors of integers but, from time to time, I need to calculate a few statistics on them. Therefore I use the GSL functions. To avoid copying the STL vector into a GSL vector, I create a GSL vector view, and give it to the GSL functions, as in this piece of code:
#include <iostream>
#include <vector>
#include <gsl/gsl_vector.h>
#include <gsl/gsl_statistics.h>
using namespace std;
int main( int argc, char* argv[] )
{
vector<int> stl_v;
for( int i=0; i<5; ++i )
stl_v.push_back( i );
gsl_vector_int_const_view gsl_v = gsl_vector_int_const_view_array( &stl_v[0], stl_v.size() );
for( int i=0; i<stl_v.size(); ++i )
cout << "gsl_v_" << i << "=" << gsl_vector_int_get( &gsl_v.vector, i ) << endl;
cout << "mean=" << gsl_stats_mean( (double*) gsl_v.vector.data, 1, stl_v.size() ) << endl;
}
Once compiled (gcc -lstdc++ -lgsl -lgslcblas test.cpp), this code outputs this:
gsl_v_0=0
gsl_v_1=1
gsl_v_2=2
gsl_v_3=3
gsl_v_4=4
mean=5.73266e-310
The vector view is properly created but I don't understand why the mean is wrong (it should be equal to 10/5=2). Any idea? Thanks in advance.
回答1:
Use the integer statistics functions:
cout << "mean=" << gsl_stats_int_mean( gsl_v.vector.data, 1, stl_v.size() ) << endl;
Note the gsl_stats_int_mean
instead of gsl_stats_mean
.
回答2:
The cast to double*
is very suspicious.
Any time you are tempted to use a cast, think again. Then look for a way to do it without a cast (maybe by introducing a temporary variable if the conversion is implicit). Then think a third time before you cast.
Since the memory region does not actually contain double
values, the code is simply interpreting the bit patterns there as if they represented doubles, with predictably undesired effects. Casting an int*
to double*
is VERY different from casting each element of the array.
回答3:
Unless you're doing a lot of statistics considerably more complex than the mean, I'd ignore gsl and just use standard algorithms:
double mean = std::accumulate(stl_v.begin(), stl_v.end(), 0.0) / stl_v.size();
When/if using a statistical library is justified, your first choice should probably be to look for something else that's better designed (e.g., Boost Accumulators).
If you decide, for whatever reason, that you really need to use gsl, it looks like you'll have to copy your array of int
s to an array of double
s first, then use gsl on the result. This is obvious quite inefficient, especially if you're dealing with a lot of data -- thus the previous advice to use something else instead.
回答4:
Although I'm not familiar with GSL, the expression (double*) gsl_v.vector.data
looks extremely suspicious. Are you sure it's correct to reinterpret_cast
that pointer to get double
data?
回答5:
Casting to double*
is messing up your data. It is not converting data into double
, but just using int
binary data as double
回答6:
According to http://www.gnu.org/software/gsl/manual/html_node/Mean-and-standard-deviation-and-variance.html the gsl_stats_mean
function takes an array of double
. You're taking a vector
of int and telling it to use the raw bytes as double
which isn't going to work right.
You'll need to set up a temporary vector
of double to pass in:
// Assumes that there's at least one item in stl_v.
std::vector<double> tempForStats(stl_v.begin(), stl_v.end());
gsl_stats_mean(&tempForStats[0], 1, tempForStats.size());
EDIT: You could also use standard library algorithms to do the int mean yourself:
// Assumes that there's at least one item in stl_v.
double total = std::accumulate(stl_v.begin(), stl_v.end(), 0);
double mean = total / stl_v.size();