| /prebuilts/gdb/darwin-x86/lib/python2.7/ |
| fractions.py | 4 """Rational, infinite-precision, real numbers."""
217 # Algorithm notes: For any real number x, define a *best upper
316 elif isinstance(other, Real):
342 handle those instances before delegating to Real or
376 elif isinstance(a, numbers.Real):
533 b = b.real
|
| /prebuilts/gdb/linux-x86/lib/python2.7/ |
| fractions.py | 4 """Rational, infinite-precision, real numbers."""
217 # Algorithm notes: For any real number x, define a *best upper
316 elif isinstance(other, Real):
342 handle those instances before delegating to Real or
376 elif isinstance(a, numbers.Real):
533 b = b.real
|
| /prebuilts/python/darwin-x86/2.7.5/lib/python2.7/ |
| fractions.py | 4 """Rational, infinite-precision, real numbers."""
217 # Algorithm notes: For any real number x, define a *best upper
316 elif isinstance(other, Real):
342 handle those instances before delegating to Real or
376 elif isinstance(a, numbers.Real):
533 b = b.real
|
| /prebuilts/python/linux-x86/2.7.5/lib/python2.7/ |
| fractions.py | 4 """Rational, infinite-precision, real numbers."""
217 # Algorithm notes: For any real number x, define a *best upper
316 elif isinstance(other, Real):
342 handle those instances before delegating to Real or
376 elif isinstance(a, numbers.Real):
533 b = b.real
|
| /external/eigen/Eigen/src/Core/ |
| TriangularMatrix.h | 317 bool isApprox(const TriangularView<OtherMatrixType, Mode>& other, typename NumTraits<Scalar>::Real precision = NumTraits<Scalar>::dummy_precision()) const
322 bool isApprox(const MatrixBase<OtherDerived>& other, typename NumTraits<Scalar>::Real precision = NumTraits<Scalar>::dummy_precision()) const
|
| PlainObjectBase.h | 99 typedef typename NumTraits<Scalar>::Real RealScalar;
[all...] |
| /external/chromium-trace/catapult/third_party/gsutil/third_party/pyasn1/pyasn1/codec/ber/ |
| encoder.py | 229 raise error.PyAsn1Error('Real exponent overflow')
246 raise error.PyAsn1Error('Prohibited Real base %s' % b)
293 univ.Real.tagSet: RealEncoder(),
|
| decoder.py | 250 protoComponent = univ.Real()
263 raise error.PyAsn1Error('Real exponent screwed')
293 'Bad character Real syntax'
538 univ.Real.tagSet: RealDecoder(),
[all...] |
| /external/eigen/Eigen/src/Eigenvalues/ |
| EigenSolver.h | 27 * class template. Currently, only real matrices are supported.
37 * matrix is real. However, we can choose real matrices \f$ V \f$ and \f$ D
42 * (where \f$ u \f$ and \f$ v \f$ are real numbers) on the diagonal. These
81 typedef typename NumTraits<Scalar>::Real RealScalar;
86 * This is \c std::complex<Scalar> if #Scalar is real (e.g.,
189 * The real matrix \f$ V \f$ returned by this function and the
213 * The matrix \f$ D \f$ returned by this function is real and
257 * This function computes the eigenvalues of the real matrix \p matrix.
262 * The matrix is first reduced to real Schur form using the RealSchu
[all...] |
| RealSchur.h | 23 * \brief Performs a real Schur decomposition of a square matrix
26 * real Schur decomposition; this is expected to be an instantiation of the
29 * Given a real square matrix A, this class computes the real Schur
30 * decomposition: \f$ A = U T U^T \f$ where U is a real orthogonal matrix and
31 * T is a real quasi-triangular matrix. An orthogonal matrix is a matrix whose
36 * A, and thus the real Schur decomposition is used in EigenSolver to compute
39 * Call the function compute() to compute the real Schur decomposition of a
41 * constructor which computes the real Schur decomposition at construction
66 typedef std::complex<typename NumTraits<Scalar>::Real> ComplexScalar
[all...] |
| SelfAdjointEigenSolver.h | 36 * A matrix \f$ A \f$ is selfadjoint if it equals its adjoint. For real
41 * selfadjoint matrix are always real. If \f$ D \f$ is a diagonal matrix with
84 /** \brief Real scalar type for \p _MatrixType.
86 * This is just \c Scalar if #Scalar is real (e.g., \c float or
87 * \c double), and the type of the real part of \c Scalar if #Scalar is
90 typedef typename NumTraits<Scalar>::Real RealScalar;
405 m_eivalues.coeffRef(0,0) = numext::real(matrix.coeff(0,0));
517 // real-valued, because the matrix is symmetric.
|
| RealQZ.h | 20 * \brief Performs a real QZ decomposition of a pair of square matrices
23 * real QZ decomposition; this is expected to be an instantiation of the
26 * Given a real square matrices A and B, this class computes the real QZ
28 * real orthogonal matrixes, T is upper-triangular matrix, and S is upper
38 * Call the function compute() to compute the real QZ decomposition of a
41 * constructor which computes the real QZ decomposition at construction
69 typedef std::complex<typename NumTraits<Scalar>::Real> ComplexScalar;
96 /** \brief Constructor; computes real QZ decomposition of given matrices
309 /** \internal decouple 2x2 diagonal block in rows i, i+1 if eigenvalues are real */
[all...] |
| /external/eigen/Eigen/src/LU/ |
| FullPivLU.h | 58 typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
|
| /external/eigen/bench/ |
| bench_gemm.cpp | 18 typedef NumTraits<Scalar>::Real RealScalar;
20 typedef Matrix</*Real*/Scalar,Dynamic,Dynamic> B;
203 std::cout << "blas real " << tblas.best(REAL_TIMER)/rep << "s \t" << (double(m)*n*p*rep*2/tblas.best(REAL_TIMER))*1e-9 << " GFLOPS \t(" << tblas.total(REAL_TIMER) << "s)\n";
210 std::cout << "eigen real " << tmt.best(REAL_TIMER)/rep << "s \t" << (double(m)*n*p*rep*2/tmt.best(REAL_TIMER))*1e-9 << " GFLOPS \t(" << tmt.total(REAL_TIMER) << "s)\n";
221 std::cout << "eigen mono real " << tmono.best(REAL_TIMER)/rep << "s \t" << (double(m)*n*p*rep*2/tmono.best(REAL_TIMER))*1e-9 << " GFLOPS \t(" << tmono.total(REAL_TIMER) << "s)\n";
239 std::cout << "\"matlab\" real " << t.best(REAL_TIMER)/rep << "s \t" << (double(m)*n*p*rep*2/t.best(REAL_TIMER))*1e-9 << " GFLOPS \t(" << t.total(REAL_TIMER) << "s)\n";
252 std::cout << "\"matlab\" real " << t.best(REAL_TIMER)/rep << "s \t" << (double(m)*n*p*rep*2/t.best(REAL_TIMER))*1e-9 << " GFLOPS \t(" << t.total(REAL_TIMER) << "s)\n";
265 std::cout << "\"matlab\" real " << t.best(REAL_TIMER)/rep << "s \t" << (double(m)*n*p*rep*2/t.best(REAL_TIMER))*1e-9 << " GFLOPS \t(" << t.total(REAL_TIMER) << "s)\n";
|
| /external/eigen/test/ |
| array_for_matrix.cpp | 78 typedef typename NumTraits<Scalar>::Real RealScalar;
|
| /external/eigen/unsupported/Eigen/src/Eigenvalues/ |
| ArpackSelfAdjointEigenSolver.h | 49 /** \brief Real scalar type for \p MatrixType.
51 * This is just \c Scalar if #Scalar is real (e.g., \c float or
52 * \c Scalar), and the type of the real part of \c Scalar if #Scalar is
55 typedef typename NumTraits<Scalar>::Real RealScalar;
|
| /external/llvm/tools/llvm-mc/ |
| llvm-mc.cpp | 269 case AsmToken::Real:
270 OS << "real: " << Lexer.getTok().getString();
|
| /prebuilts/go/darwin-x86/pkg/bootstrap/src/bootstrap/compile/internal/gc/ |
| go.y | [all...] |
| /prebuilts/go/darwin-x86/src/cmd/compile/internal/gc/ |
| go.y | [all...] |
| /prebuilts/go/linux-x86/pkg/bootstrap/src/bootstrap/compile/internal/gc/ |
| go.y | [all...] |
| /prebuilts/go/linux-x86/src/cmd/compile/internal/gc/ |
| go.y | [all...] |
| /external/clang/lib/AST/ |
| ExprConstant.cpp | [all...] |
| /build/core/ |
| envsetup.mk | 59 # BUILD_OS is the real host doing the build.
124 # We'll substitute with the real value after loading BoardConfig.mk.
144 # Real boards should always be associated with an OEM vendor.
169 # Now we can substitute with the real value of TARGET_COPY_OUT_VENDOR
|
| /external/eigen/Eigen/src/Eigen2Support/Geometry/ |
| Transform.h | 270 bool isApprox(const Transform& other, typename NumTraits<Scalar>::Real prec = precision<Scalar>()) const
|
| /external/eigen/Eigen/src/Eigen2Support/ |
| SVD.h | 24 * This class performs a standard SVD decomposition of a real matrix A of size \c M x \c N
34 typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
|
