| /external/eigen/unsupported/test/ |
| cxx11_tensor_simple.cpp | 159 Tensor<int, 3> epsilon(3,3,3);
160 epsilon.setZero();
161 epsilon(0,1,2) = epsilon(2,0,1) = epsilon(1,2,0) = 1;
162 epsilon(2,1,0) = epsilon(0,2,1) = epsilon(1,0,2) = -1;
164 VERIFY_IS_EQUAL((epsilon.size()), 27);
165 VERIFY_IS_EQUAL((epsilon.dimensions()[0]), 3)
297 Tensor<int, 3> epsilon; local
[all...] |
| /external/skia/src/pathops/ |
| SkPathOpsTypes.cpp | 12 static bool arguments_denormalized(float a, float b, int epsilon) {
13 float denormalizedCheck = FLT_EPSILON * epsilon / 2;
19 static bool equal_ulps(float a, float b, int epsilon, int depsilon) {
26 return aBits < bBits + epsilon && bBits < aBits + epsilon;
29 static bool equal_ulps_no_normal_check(float a, float b, int epsilon, int depsilon) {
33 return aBits < bBits + epsilon && bBits < aBits + epsilon;
36 static bool equal_ulps_pin(float a, float b, int epsilon, int depsilon) {
46 return aBits < bBits + epsilon && bBits < aBits + epsilon
[all...] |
| /external/vulkan-validation-layers/libs/glm/gtx/ |
| matrix_query.hpp | 59 GLM_FUNC_DECL bool isNull(detail::tmat2x2<T, P> const & m, T const & epsilon);
64 GLM_FUNC_DECL bool isNull(detail::tmat3x3<T, P> const & m, T const & epsilon);
69 GLM_FUNC_DECL bool isNull(detail::tmat4x4<T, P> const & m, T const & epsilon);
74 GLM_FUNC_DECL bool isIdentity(matType<T, P> const & m, T const & epsilon);
79 GLM_FUNC_DECL bool isNormalized(detail::tmat2x2<T, P> const & m, T const & epsilon);
84 GLM_FUNC_DECL bool isNormalized(detail::tmat3x3<T, P> const & m, T const & epsilon);
89 GLM_FUNC_DECL bool isNormalized(detail::tmat4x4<T, P> const & m, T const & epsilon);
94 GLM_FUNC_DECL bool isOrthogonal(matType<T, P> const & m, T const & epsilon);
|
| vector_query.hpp | 58 GLM_FUNC_DECL bool areCollinear(vecType<T, P> const & v0, vecType<T, P> const & v1, T const & epsilon);
63 GLM_FUNC_DECL bool areOrthogonal(vecType<T, P> const & v0, vecType<T, P> const & v1, T const & epsilon);
68 GLM_FUNC_DECL bool isNormalized(vecType<T, P> const & v, T const & epsilon);
73 GLM_FUNC_DECL bool isNull(vecType<T, P> const & v, T const & epsilon);
78 GLM_FUNC_DECL vecType<bool, P> isCompNull(vecType<T, P> const & v, T const & epsilon);
83 GLM_FUNC_DECL bool areOrthonormal(vecType<T, P> const & v0, vecType<T, P> const & v1, T const & epsilon);
|
| /external/libcxx/test/std/language.support/support.limits/limits/numeric.limits.members/ |
| epsilon.pass.cpp | 12 // epsilon()
22 assert(std::numeric_limits<T>::epsilon() == expected);
23 assert(std::numeric_limits<const T>::epsilon() == expected);
24 assert(std::numeric_limits<volatile T>::epsilon() == expected);
25 assert(std::numeric_limits<const volatile T>::epsilon() == expected);
|
| /external/vulkan-validation-layers/libs/glm/gtc/ |
| epsilon.hpp | 24 /// @file glm/gtc/epsilon.hpp
35 /// @brief Comparison functions for a user defined epsilon values.
37 /// <glm/gtc/epsilon.hpp> need to be included to use these functionalities.
56 /// Returns the component-wise comparison of |x - y| < epsilon.
64 T const & epsilon);
66 /// Returns the component-wise comparison of |x - y| < epsilon.
74 genType const & epsilon);
76 /// Returns the component-wise comparison of |x - y| < epsilon.
84 typename genType::value_type const & epsilon);
86 /// Returns the component-wise comparison of |x - y| >= epsilon
[all...] |
| /prebuilts/ndk/r11/sources/cxx-stl/llvm-libc++/libcxx/test/language.support/support.limits/limits/numeric.limits.members/ |
| epsilon.pass.cpp | 12 // epsilon()
22 assert(std::numeric_limits<T>::epsilon() == expected);
23 assert(std::numeric_limits<const T>::epsilon() == expected);
24 assert(std::numeric_limits<volatile T>::epsilon() == expected);
25 assert(std::numeric_limits<const volatile T>::epsilon() == expected);
|
| /prebuilts/ndk/r13/sources/cxx-stl/llvm-libc++/test/std/language.support/support.limits/limits/numeric.limits.members/ |
| epsilon.pass.cpp | 12 // epsilon()
22 assert(std::numeric_limits<T>::epsilon() == expected);
23 assert(std::numeric_limits<const T>::epsilon() == expected);
24 assert(std::numeric_limits<volatile T>::epsilon() == expected);
25 assert(std::numeric_limits<const volatile T>::epsilon() == expected);
|
| /art/test/053-wait-some/src/ |
| Main.java | 60 long epsilon = delay / 10; local
61 if (epsilon > 50) {
62 epsilon = 50;
65 long min = delay - epsilon;
66 long max = delay + epsilon;
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/distribution/ |
| PoissonDistributionImpl.java | 70 private double epsilon = DEFAULT_EPSILON; field in class:PoissonDistributionImpl
88 * @param epsilon the convergence criteria for cumulative probabilites
92 public PoissonDistributionImpl(double p, double epsilon, int maxIterations) {
94 this.epsilon = epsilon;
102 * @param epsilon the convergence criteria for cumulative probabilites
105 public PoissonDistributionImpl(double p, double epsilon) {
107 this.epsilon = epsilon;
219 return Gamma.regularizedGammaQ((double) x + 1, mean, epsilon, maxIterations)
[all...] |
| /external/eigen/test/ |
| bicgstab.cpp | 20 bicgstab_colmajor_diag.setTolerance(NumTraits<T>::epsilon()*4);
21 bicgstab_colmajor_ilut.setTolerance(NumTraits<T>::epsilon()*4);
|
| prec_inverse_4x4.cpp | 22 double error = double( (m*inv-MatrixType::Identity()).norm() / NumTraits<Scalar>::epsilon() );
42 } while(absdet < NumTraits<Scalar>::epsilon());
44 double error = double( (m*inv-MatrixType::Identity()).norm() * absdet / NumTraits<Scalar>::epsilon() );
|
| /external/libcups/cups/ |
| pwg-private.h | 48 extern pwg_media_t *_pwgMediaNearSize(int width, int length, int epsilon);
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/special/ |
| Beta.java | 66 * @param epsilon When the absolute value of the nth item in the
67 * series is less than epsilon the approximation ceases
73 double epsilon) throws MathException
75 return regularizedBeta(x, a, b, epsilon, Integer.MAX_VALUE);
110 * @param epsilon When the absolute value of the nth item in the
111 * series is less than epsilon the approximation ceases
118 final double b, double epsilon, int maxIterations) throws MathException
127 ret = 1.0 - regularizedBeta(1.0 - x, b, a, epsilon, maxIterations);
153 FastMath.log(a) - logBeta(a, b, epsilon, maxIterations)) *
154 1.0 / fraction.evaluate(x, epsilon, maxIterations)
[all...] |
| Gamma.java | 151 * @param epsilon When the absolute value of the nth item in the
152 * series is less than epsilon the approximation ceases
160 double epsilon,
173 ret = 1.0 - regularizedGammaQ(a, x, epsilon, maxIterations);
179 while (FastMath.abs(an/sum) > epsilon && n < maxIterations && sum < Double.POSITIVE_INFINITY) {
228 * @param epsilon When the absolute value of the nth item in the
229 * series is less than epsilon the approximation ceases
237 double epsilon,
250 ret = 1.0 - regularizedGammaP(a, x, epsilon, maxIterations);
266 ret = 1.0 / cf.evaluate(x, epsilon, maxIterations)
[all...] |
| /external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/linear/ |
| SimplexSolver.java | 39 protected final double epsilon; field in class:SimplexSolver
50 * @param epsilon the amount of error to accept in floating point comparisons
52 public SimplexSolver(final double epsilon) {
53 this.epsilon = epsilon;
65 if (MathUtils.compareTo(tableau.getEntry(0, i), minValue, epsilon) < 0) {
86 if (MathUtils.compareTo(entry, 0, epsilon) > 0) {
88 if (MathUtils.equals(ratio, minRatio, epsilon)) {
106 if (MathUtils.equals(tableau.getEntry(row, column), 1, epsilon) &&
165 if (!MathUtils.equals(tableau.getEntry(0, tableau.getRhsOffset()), 0, epsilon)) {
[all...] |
| /packages/apps/Messaging/src/com/android/messaging/util/ |
| CubicBezierInterpolator.java | 75 final float epsilon = 1e-6f; local
91 double derivative = (getX(t + epsilon) - value) / epsilon;
92 if (Math.abs(value - x) < epsilon) {
94 } else if (Math.abs(derivative) < epsilon) {
108 for (int i = 0; Math.abs(value - x) > epsilon && i < iterations; i++) {
|
| /external/replicaisland/src/com/replica/replicaisland/ |
| Utils.java | 21 private static final float EPSILON = 0.0001f;
24 return close(a, b, EPSILON);
27 public final static boolean close(float a, float b, float epsilon) {
28 return Math.abs(a - b) < epsilon;
|
| /packages/screensavers/PhotoTable/src/com/android/dreams/phototable/ |
| SoftLandingInterpolator.java | 42 final float epsilon = Math.min(mI / 2f, (1f - mI) / 2f); local
43 bottom = mI - epsilon;
44 top = mI + epsilon;
|
| /external/eigen/unsupported/Eigen/src/NonLinearOptimization/ |
| chkder.h | 25 const Scalar eps = sqrt(NumTraits<Scalar>::epsilon());
26 const Scalar epsf = chkder_factor * NumTraits<Scalar>::epsilon();
56 if (temp > NumTraits<Scalar>::epsilon() && temp < eps)
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/util/ |
| ContinuedFraction.java | 81 * @param epsilon maximum error allowed.
85 public double evaluate(double x, double epsilon) throws MathException {
86 return evaluate(x, epsilon, Integer.MAX_VALUE);
121 * @param epsilon maximum error allowed.
126 public double evaluate(double x, double epsilon, int maxIterations)
136 while (n < maxIterations && relativeError > epsilon) {
|
| /external/eigen/Eigen/src/SparseCore/ |
| SparseView.h | 38 * entries smaller than \c reference * \c epsilon are removed.
55 const RealScalar &epsilon = NumTraits<Scalar>::dummy_precision())
56 : m_matrix(mat), m_reference(reference), m_epsilon(epsilon) {}
69 RealScalar epsilon() const { return m_epsilon; } function in class:Eigen::SparseView
117 while((bool(*this)) && internal::isMuchSmallerThan(value(), m_view.reference(), m_view.epsilon()))
186 while((bool(*this)) && internal::isMuchSmallerThan(value(), m_sve.m_view.reference(), m_sve.m_view.epsilon()))
210 * \a reference * \a epsilon removed.
218 * S = D.sparseView(reference,epsilon);
221 * and \a epsilon is a tolerance factor defaulting to NumTraits<Scalar>::dummy_precision().
226 const typename NumTraits<Scalar>::Real& epsilon) cons
[all...] |
| /external/google-benchmark/src/ |
| benchmark_api_internal.h | 40 return std::abs(n) < std::numeric_limits<double>::epsilon();
|
| /external/libcxx/utils/google-benchmark/src/ |
| benchmark_api_internal.h | 40 return std::abs(n) < std::numeric_limits<double>::epsilon();
|
| /external/eigen/Eigen/src/Core/ |
| NumTraits.h | 18 // 0 for integer types, and log10(epsilon()) otherwise.
34 return int(ceil(-log10(NumTraits<Real>::epsilon())));
78 * \li An epsilon() function which, unlike <a href="http://en.cppreference.com/w/cpp/types/numeric_limits/epsilon">std::numeric_limits::epsilon()</a>,
80 * \li A dummy_precision() function returning a weak epsilon value. It is mainly used as a default
110 static inline Real epsilon()
112 return numext::numeric_limits<T>::epsilon();
186 static inline Real epsilon() { return NumTraits<Real>::epsilon(); }
[all...] |
