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  /external/eigen/Eigen/src/SparseCore/
AmbiVector.h 287 * \param epsilon the minimal value used to prune zero coefficients.
288 * In practice, all coefficients having a magnitude smaller than \a epsilon
291 Iterator(const AmbiVector& vec, const RealScalar& epsilon = 0)
295 m_epsilon = epsilon;
363 RealScalar m_epsilon; // epsilon used to prune zero coefficients
SparseVector.h 191 void prune(const Scalar& reference, const RealScalar& epsilon = NumTraits<RealScalar>::dummy_precision())
193 m_data.prune(reference,epsilon);
  /external/eigen/unsupported/Eigen/src/SparseExtra/
DynamicSparseMatrix.h 188 /** Suppress all nonzeros which are smaller than \a reference under the tolerence \a epsilon */
189 void prune(Scalar reference, RealScalar epsilon = NumTraits<RealScalar>::dummy_precision())
192 m_data[j].prune(reference,epsilon);
  /external/opencv/cv/src/
cvcamshift.cpp 93 eps = cvRound( criteria.epsilon * criteria.epsilon );
  /external/opencv3/modules/core/include/opencv2/core/
types_c.h 841 double epsilon; member in struct:CvTermCriteria
844 CvTermCriteria(int _type = 0, int _iter = 0, double _eps = 0) : type(_type), max_iter(_iter), epsilon(_eps) {}
845 CvTermCriteria(const cv::TermCriteria& t) : type(t.type), max_iter(t.maxCount), epsilon(t.epsilon) {}
846 operator cv::TermCriteria() const { return cv::TermCriteria(type, max_iter, epsilon); }
852 CV_INLINE CvTermCriteria cvTermCriteria( int type, int max_iter, double epsilon )
858 t.epsilon = (float)epsilon;
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  /external/valgrind/drd/tests/
matinv.c 298 /** Compute epsilon for the numeric type elem_t. Epsilon is defined as the
303 static elem_t epsilon() function
344 eps = epsilon();
354 printf("error = %g; epsilon = %g; error / (epsilon * n) = %g\n",
omp_matinv.c 262 /** Compute epsilon for the numeric type elem_t. Epsilon is defined as the
267 static elem_t epsilon() function
324 eps = epsilon();
334 printf("error = %g; epsilon = %g; error / (epsilon * n) = %g\n",
  /ndk/tests/device/test-gnustl-full/unit/
num_put_get_test.cpp 58 float epsilon = numeric_limits<float>::epsilon(); local
59 return val <= ref + epsilon && val >= ref - epsilon;
64 double epsilon = numeric_limits<double>::epsilon(); local
65 return val <= ref + epsilon && val >= ref - epsilon;
    [all...]
  /ndk/tests/device/test-stlport/unit/
num_put_get_test.cpp 58 float epsilon = numeric_limits<float>::epsilon(); local
59 return val <= ref + epsilon && val >= ref - epsilon;
64 double epsilon = numeric_limits<double>::epsilon(); local
65 return val <= ref + epsilon && val >= ref - epsilon;
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  /external/opencv3/modules/calib3d/src/
rho.cpp 304 double epsilon; /* Epsilon */ member in struct:cv::RHO_HEST_REFC::__anon20601
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ptsetreg.cpp 521 const double epsilon = DBL_EPSILON; local
523 param2 = (param2 < epsilon) ? 0.99 : (param2 > 1 - epsilon) ? 0.99 : param2;
  /cts/tests/tests/animation/src/android/animation/cts/
ValueAnimatorTest.java 99 * Test for equality within some epsilon. This accounts for minor differences
103 final float epsilon = .001f; local
104 assertTrue(actual > (expected - epsilon) && actual < (expected + epsilon));
  /external/eigen/Eigen/src/Eigenvalues/
SelfAdjointEigenSolver.h 590 if((eivals(2)-eivals(0))<=Eigen::NumTraits<Scalar>::epsilon())
618 if(d0<=2*Eigen::NumTraits<Scalar>::epsilon()*d1)
690 if((eivals(1)-eivals(0))<=abs(eivals(1))*Eigen::NumTraits<Scalar>::epsilon())
ComplexEigenSolver.h 305 numext::real_ref(z) = NumTraits<RealScalar>::epsilon() * matrixnorm;
  /external/eigen/test/
jacobisvd.cpp 99 y.row(k).array() += 2*NumTraits<RealScalar>::epsilon();
103 y.row(k) = x.row(k).array() - 2*NumTraits<RealScalar>::epsilon();
338 m << 0, 2*NumTraits<Scalar>::epsilon(), 0.5,
  /external/deqp/modules/gles31/functional/
es31fSampleShadingTests.cpp 312 // Minimum number of samples is max(ceil(<mss> * <samples>),1). Decrease mss with epsilon to prevent
314 const float epsilon = 0.25f / (float)m_numTargetSamples;
315 const float ratio = ((float)sampleCount / (float)m_numTargetSamples) - epsilon;
  /external/eigen/Eigen/src/QR/
ColPivHouseholderQR.h 353 : NumTraits<Scalar>::epsilon() * RealScalar(m_qr.diagonalSize());
453 RealScalar threshold_helper = m_colSqNorms.maxCoeff() * numext::abs2(NumTraits<Scalar>::epsilon()) / RealScalar(rows);
FullPivHouseholderQR.h 349 : NumTraits<Scalar>::epsilon() * RealScalar(m_qr.diagonalSize());
428 m_precision = NumTraits<Scalar>::epsilon() * RealScalar(size);
  /external/libgdx/gdx/src/com/badlogic/gdx/utils/
FloatArray.java 344 public boolean equals (Object object, float epsilon) {
355 if (Math.abs(items1[i] - items2[i]) > epsilon) return false;
  /external/opencv/ml/src/
mlboost.cpp 246 const float epsilon = FLT_EPSILON*2; local
287 if( sorted[i].val + epsilon < sorted[i+1].val )
308 if( sorted[i].val + epsilon < sorted[i+1].val )
442 const float epsilon = FLT_EPSILON*2; local
470 if( sorted[i].val + epsilon < sorted[i+1].val )
573 const float epsilon = FLT_EPSILON*2; local
613 if( LL + RR > best_val && sorted[i].val + epsilon < sorted[i+1].val )
622 if( RL + LR > best_val && sorted[i].val + epsilon < sorted[i+1].val )
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  /external/opencv3/modules/ml/src/
rtrees.cpp 134 rparams.termCrit.epsilon > 0 ? rparams.termCrit.epsilon : 0.;
  /frameworks/ml/bordeaux/learning/stochastic_linear_ranker/native/
sparse_weight_vector.cpp 251 const double epsilon) const {
256 if (fabs(iter->second / normalizer_) > epsilon)
  /external/ceres-solver/internal/ceres/
dogleg_strategy_test.cc 122 const double kEpsilon = std::numeric_limits<double>::epsilon();
  /external/eigen/Eigen/src/Core/
IO.h 132 return cast<RealScalar,int>(ceil(-log(NumTraits<RealScalar>::epsilon())/log(RealScalar(10))));
  /external/eigen/Eigen/src/Geometry/
Hyperplane.h 106 if(norm <= v0.norm() * v1.norm() * NumTraits<RealScalar>::epsilon())

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