/external/eigen/Eigen/src/Eigen2Support/ |
H A D | LeastSquares.h | 121 * 1 - center the data to the mean 142 // compute the mean of the data 143 VectorType mean = VectorType::Zero(size); local 145 mean += *(points[i]); 146 mean /= numPoints; 153 VectorType diff = (*(points[i]) - mean).conjugate(); 164 // plane pass trough the mean point: 165 result->offset() = - (result->normal().cwise()* mean).sum();
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/external/valgrind/main/VEX/test/ |
H A D | rounderr.c | 43 /* Compute the arithmetic mean of a dataset using the recurrence relation 44 mean_(n) = mean(n-1) + (data[n] - mean(n-1))/(n+1) */ 45 long double mean = 0; local 50 mean += (data[i * stride] - mean) / (i + 1); 52 return mean; 58 /* Compute the arithmetic mean of a dataset using the
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/external/webrtc/src/common_audio/vad/ |
H A D | vad_gmm.c | 25 // m = |mean| (Q7) 31 int16_t mean, 52 tmp16 = tmp16 - mean; // Q7 - Q7 = Q7 30 WebRtcVad_GaussianProbability(int16_t input, int16_t mean, int16_t std, int16_t* delta) argument
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/external/eigen/bench/btl/data/ |
H A D | smooth.cxx | 82 double mean=0.0; local 86 mean+=data[i]; 90 return mean/double(data.size()) ;
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H A D | mean.cxx | 2 // File : mean.cxx 112 cout << " <TH ALIGN=CENTER> <a href=""#mean_marker""> in cache <BR> mean perf <BR> Mflops </a></TH>" << endl ; 114 cout << " <TH ALIGN=CENTER> <a href=""#mean_marker""> out of cache <BR> mean perf <BR> Mflops </a></TH>" << endl ; 157 double mean=0.0; local 165 mean+=tab_mflops[i]; 173 INFOS("no data for mean calculation"); 177 return mean/nb_sample;
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/external/eigen/test/ |
H A D | redux.cpp | 38 const Scalar mean = s/Scalar(RealScalar(rows*cols)); local 41 VERIFY_IS_APPROX(m1.mean(), mean); 52 VERIFY_IS_APPROX(m1.block(r0,c0,r1,c1).mean(), m1.block(r0,c0,r1,c1).eval().mean()); 126 VERIFY_RAISES_ASSERT(v.head(0).mean());
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/external/opencv/cv/src/ |
H A D | cvadapthresh.cpp | 48 CvMat* mean = 0; local 70 mean = dst; 72 CV_CALL( mean = cvCreateMat( rows, cols, CV_8UC1 )); 74 CV_CALL( cvSmooth( src, mean, method == CV_ADAPTIVE_THRESH_MEAN_C ? 89 const uchar* m = mean->data.ptr + i*mean->step; 98 if( mean != dst ) 99 cvReleaseMat( &mean );
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H A D | _cvkdtree.hpp | 91 accum_type mean = 0; local 93 mean += deref(ctor(*k), j); 94 mean /= last - first; 97 accum_type diff = accum_type(deref(ctor(*k), j)) - mean;
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H A D | cvcalibinit.cpp | 310 double mean = cvMean( img ); local 311 int thresh_level = cvRound( mean - 10 ); 326 // The border color will be the image mean, because otherwise we risk screwing up filters like cvSmooth()...
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/external/opencv/ml/src/ |
H A D | mltestset.cpp | 65 CvMat* mean = NULL; local 107 CV_CALL( mean = cvCreateMat( 1, num_features, CV_32FC1 ) ); 108 CV_CALL( cvSetZero( mean ) ); 114 CV_CALL( cvRandMVNormal( mean, cov, *samples ) ); 165 cvReleaseMat( &mean );
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H A D | mlem.cpp | 174 CV_ERROR( CV_StsBadArg, "The array of mean's must be a valid " 844 are to be equal to the mean of the variations over all the dimensions. */ 919 const double* mean = (double*)(means->data.ptr + means->step*k); local 932 csample[j] = sample[j] - mean[j];
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/external/webkit/PerformanceTests/SunSpider/resources/ |
H A D | sunspider-analyze-results.js | 35 var mean = 0; variable 115 mean = total / count; 124 function standardDeviation(mean, items) 128 var delta = items[i] - mean; 137 stdDev = standardDeviation(mean, itemTotals["total"]); 176 function formatResult(meanWidth, mean, stdErr, n) 178 var meanString = mean.toFixed(1).toString(); 186 return meanString + "ms +/- " + ((tDist(n) * stdErr / mean) * 100).toFixed(1) + "%"; 207 var width = mean.toFixed(1).toString().length; 222 function resultLine(labelWidth, indent, label, meanWidth, mean, stdEr [all...] |
/external/srec/srec/cfront/ |
H A D | wav_acc.c | 105 float mean; local 135 mean = ((float)ws->sum + (float)ws->sum2 * OVERFLOW_MASK) / ws->nsam; 137 *dc_offset = (int) mean; 139 / (float)ws->nsam) - (mean * mean); 233 /* the mean to be around zero anyway */
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/external/srec/srec/include/ |
H A D | specnorm.h | 65 int mean; member in struct:__anon13049
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/external/eigen/Eigen/src/Core/ |
H A D | Redux.h | 353 * \sa trace(), prod(), mean() 364 /** \returns the mean of all coefficients of *this 370 DenseBase<Derived>::mean() const function in class:Eigen::DenseBase 380 * \sa sum(), mean(), trace()
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H A D | VectorwiseOp.h | 124 EIGEN_MEMBER_FUNCTOR(mean, (Size-1)*NumTraits<Scalar>::AddCost + NumTraits<Scalar>::MulCost); 333 /** \returns a row (or column) vector expression of the mean 336 * \sa DenseBase::mean() */ 337 const typename ReturnType<internal::member_mean>::Type mean() const function in class:Eigen::VectorwiseOp
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/external/libvorbis/vq/ |
H A D | metrics.c | 26 mean and mean squared amplitude 27 mean and mean squared error 28 mean and mean squared error (per sample) by entry 95 float min=-1.f,max=-1.f,mean=0.f,meansq=0.f; local 98 /* minimum, maximum, mean, ms cell spacing */ 113 mean+=sqrt(localmin); 121 fprintf(stderr,"\tmean closest side spacing: %g\n",mean/tota [all...] |
H A D | vqgen.c | 91 float min=-1.f,max=-1.f,mean=0.f,acc=0.f; local 131 mean+=localmin; 139 min,mean/acc,max,unused,dup);
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/external/opencv/cxcore/src/ |
H A D | cxmean.cpp | 165 mean[0] = scale*(double)tmp##0 171 mean[0] = t0; \ 172 mean[1] = t1 179 mean[0] = t0; \ 180 mean[1] = t1; \ 181 mean[2] = t2 187 mean[0] = t0; \ 188 mean[1] = t1; \ 191 mean[2] = t0; \ 192 mean[ 384 CvScalar mean = {{0,0,0,0}}; local [all...] |
H A D | cxmeansdv.cpp | 314 mean[idx] = tmp = scale*(double)total##idx; \ 378 CvSize size, double* mean, double* sdv ), \ 379 (src, step, size, mean, sdv) ) \ 413 CvSize size, double* mean, double* sdv ), \ 414 (src, step, size, mean, sdv) ) \ 438 double* mean, double* sdv ) \ 473 int cn, int coi, double* mean, double* sdv )\ 498 CvSize size, double* mean, double* sdv ), \ 499 (src, step, mask, maskstep, size, mean, sdv))\ 533 CvSize size, double* mean, doubl 678 CvScalar mean = {{0,0,0,0}}; local [all...] |
/external/webp/src/utils/ |
H A D | filters.c | 172 int mean = p[0]; local 174 const int diff0 = SDIFF(p[i], mean); 184 mean = (3 * mean + p[i] + 2) >> 2;
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/external/skia/tests/ |
H A D | MathTest.cpp | 480 SkFixed mean = SkFixedMean(numer, denom); local 484 int diff = SkAbs32(mean - mean2);
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/external/linux-tools-perf/ |
H A D | builtin-stat.c | 203 double n, mean, M2; member in struct:stats 227 delta = val - stats->mean; 228 stats->mean += delta / stats->n; 229 stats->M2 += delta*(val - stats->mean); 234 return stats->mean; 246 * The std dev of the mean is related to the std dev by:
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/external/opencv/cvaux/src/ |
H A D | cvhmm.cpp | 509 // mu - pointer to the mean vector of the Gaussian pdf 541 // mu - two-dimensional pointer to the mean vector of the Gaussian pdf; 543 // the second dimension is indexed along the size of the mean vector 1417 /* zero mean and variance */ 1439 CvVect32f mean = first_state[state].mu + mixture * vect_len; local 1442 icvAddVector_32f( mean, vector, mean, vect_len );
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/external/blktrace/btt/ |
H A D | output.c | 324 double mean; member in struct:o_seek_info 353 "Average", sip->nseeks, sip->mean / sip->nseeks, 393 double mean; local 403 mean = seeki_mean(handle); 408 make_dev_hdr(dev_info, 15, dip, 1), nseeks, mean, 423 nseeks, mean, median, 431 seek_info.mean += (nseeks * mean);
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