| /external/eigen/Eigen/src/SPQRSupport/ |
| SuiteSparseQRSupport.h | 67 : m_isInitialized(false), m_ordering(SPQR_ORDERING_DEFAULT), m_allow_tol(SPQR_DEFAULT_TOL), m_tolerance (NumTraits<Scalar>::epsilon()), m_useDefaultThreshold(true)
73 : m_isInitialized(false), m_ordering(SPQR_ORDERING_DEFAULT), m_allow_tol(SPQR_DEFAULT_TOL), m_tolerance (NumTraits<Scalar>::epsilon()), m_useDefaultThreshold(true)
111 pivotThreshold = 20 * (mat.rows() + mat.cols()) * max2Norm * NumTraits<RealScalar>::epsilon();
|
| /external/eigen/test/ |
| product.h | 14 bool areNotApprox(const MatrixBase<Derived1>& m1, const MatrixBase<Derived2>& m2, typename Derived1::RealScalar epsilon = NumTraits<typename Derived1::RealScalar>::dummy_precision())
16 return !((m1-m2).cwiseAbs2().maxCoeff() < epsilon * epsilon
85 // (we use the more accurate default epsilon)
|
| umeyama.cpp | 117 VERIFY(error < Scalar(40)*std::numeric_limits<Scalar>::epsilon());
155 VERIFY(error < Scalar(16)*std::numeric_limits<Scalar>::epsilon());
|
| /external/libgdx/extensions/gdx-bullet/jni/src/bullet/LinearMath/ |
| btConvexHull.cpp | 305 int above(btVector3* vertices,const int3& t, const btVector3 &p, btScalar epsilon);
306 int above(btVector3* vertices,const int3& t, const btVector3 &p, btScalar epsilon)
309 return (btDot(n,p-vertices[t[0]]) > epsilon); // EPSILON???
465 btHullTriangle* HullLibrary::extrudable(btScalar epsilon)
476 return (t->rise >epsilon)?t:NULL ;
536 btScalar epsilon = (bmax-bmin).length() * btScalar(0.001); local
537 btAssert (epsilon != 0.0);
564 while(vlimit >0 && ((te=extrudable(epsilon)) != 0))
576 if(above(verts,t,verts[v],btScalar(0.01)*epsilon))
[all...] |
| /external/opencv/cv/src/ |
| cvposit.cpp | 119 float diff = (float)criteria.epsilon;
141 if( (criteria.type & CV_TERMCRIT_EPS) && criteria.epsilon < 0 )
233 converged = ((criteria.type & CV_TERMCRIT_EPS) && (diff < criteria.epsilon));
|
| cvcornersubpix.cpp | 102 eps = criteria.epsilon;
106 eps = criteria.epsilon;
|
| /external/opencv3/modules/calib3d/src/ |
| posit.cpp | 120 float diff = (float)criteria.epsilon;
135 if( (criteria.type & CV_TERMCRIT_EPS) && criteria.epsilon < 0 )
236 converged = ((criteria.type & CV_TERMCRIT_EPS) && (diff < criteria.epsilon));
|
| /external/deqp/modules/glshared/ |
| glsCalibration.cpp | 62 const float epsilon = 1e-6f; local
78 if (de::abs(ptA.x() - ptB.x()) > epsilon)
126 const float epsilon = 1e-6f; local
144 if (de::abs(ptA.x() - ptB.x()) > epsilon)
|
| /external/eigen/unsupported/Eigen/src/LevenbergMarquardt/ |
| LMcovar.h | 23 Scalar tol = std::sqrt(NumTraits<Scalar>::epsilon()) )
|
| /external/eigen/unsupported/Eigen/src/NonLinearOptimization/ |
| covar.h | 9 Scalar tol = std::sqrt(NumTraits<Scalar>::epsilon()) )
|
| fdjac1.h | 28 const Scalar epsmch = NumTraits<Scalar>::epsilon();
|
| /external/eigen/unsupported/Eigen/src/NumericalDiff/ |
| NumericalDiff.h | 72 const Scalar eps = sqrt(((std::max)(epsfcn,NumTraits<Scalar>::epsilon() )));
|
| /external/fonttools/Lib/fontTools/misc/ |
| bezierTools.py | 21 epsilon = 1e-12 variable
263 if abs(a) < epsilon:
264 if abs(b) < epsilon:
294 if abs(a) < epsilon:
|
| /external/libcxx/test/std/language.support/support.limits/limits/numeric.limits/ |
| default.pass.cpp | 47 assert(std::numeric_limits<A>::epsilon() == A());
|
| /external/opencv3/modules/core/src/ |
| downhill_simplex.cpp | 173 termcrit.epsilon > 0 &&
185 dprintf(("termcrit:\n\ttype: %d\n\tmaxCount: %d\n\tEPS: %g\n",_termcrit.type,_termcrit.maxCount,_termcrit.epsilon));
193 double res = innerDownhillSimplex(simplex,_termcrit.epsilon, _termcrit.epsilon,
453 // both minRange & minError are specified by termcrit.epsilon;
|
| /external/opencv3/modules/java/src/ |
| ml+LogisticRegression.java | 187 setTermCriteria_0(nativeObj, val.type, val.maxCount, val.epsilon);
|
| /ndk/sources/cxx-stl/llvm-libc++/libcxx/test/language.support/support.limits/limits/numeric.limits/ |
| default.pass.cpp | 47 assert(std::numeric_limits<A>::epsilon() == A());
|
| /ndk/sources/cxx-stl/stlport/stlport/stl/ |
| _limits.h | 90 static __number _STLP_CALL epsilon() _STLP_NOTHROW { return __number(); }
420 static float _STLP_CALL epsilon() _STLP_NOTHROW { return FLT_EPSILON; }
451 static double _STLP_CALL epsilon() _STLP_NOTHROW { return DBL_EPSILON; }
482 static long double _STLP_CALL epsilon() _STLP_NOTHROW { return LDBL_EPSILON; }
|
| /prebuilts/ndk/current/sources/cxx-stl/stlport/stlport/stl/ |
| _limits.h | 90 static __number _STLP_CALL epsilon() _STLP_NOTHROW { return __number(); }
420 static float _STLP_CALL epsilon() _STLP_NOTHROW { return FLT_EPSILON; }
451 static double _STLP_CALL epsilon() _STLP_NOTHROW { return DBL_EPSILON; }
482 static long double _STLP_CALL epsilon() _STLP_NOTHROW { return LDBL_EPSILON; }
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/ode/events/ |
| EventState.java | 160 // less than epsilon after the solver start in the first step should be ignored,
161 // where epsilon is the convergence threshold of the event. The sign of the g
163 // beginning (if there are no event at the very beginning g(t0) and g(t0+epsilon)
165 // beginning, g(t0) and g(t0+epsilon) have opposite signs and we want to start
166 // with the second one. Of course, the sign of epsilon depend on the integration
252 final double epsilon = (forward ? 0.25 : -0.25) * convergence; local
254 ta += epsilon;
|
| /external/eigen/Eigen/src/IterativeLinearSolvers/ |
| BiCGSTAB.h | 63 RealScalar eps2 = NumTraits<Scalar>::epsilon()*NumTraits<Scalar>::epsilon();
136 * and NumTraits<Scalar>::epsilon() for the tolerance.
|
| /external/eigen/Eigen/src/SparseCore/ |
| CompressedStorage.h | 187 void prune(const Scalar& reference, const RealScalar& epsilon = NumTraits<RealScalar>::dummy_precision())
193 if (!internal::isMuchSmallerThan(value(i), reference, epsilon))
|
| SparseProduct.h | 109 SparseSparseProduct pruned(const Scalar& reference = 0, const RealScalar& epsilon = NumTraits<RealScalar>::dummy_precision()) const
112 return SparseSparseProduct(m_lhs,m_rhs,abs(reference)*epsilon);
174 * C = (A*B).pruned(ref,epsilon);
|
| /external/eigen/bench/ |
| eig33.cpp | 142 if((evals(2)-evals(0))<=Eigen::NumTraits<Scalar>::epsilon())
157 if(n1<=Eigen::NumTraits<Scalar>::epsilon())
|
| /external/libgdx/tests/gdx-tests/src/com/badlogic/gdx/tests/ |
| SelectTest.java | 198 float epsilon = 0.0001f; local
200 if (diff > epsilon) return false;
|
