/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
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/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
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/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
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/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
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/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
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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(),
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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.
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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;
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/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";
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/external/eigen/test/ |
array_for_matrix.cpp | 78 typedef typename NumTraits<Scalar>::Real RealScalar;
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/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;
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/external/llvm/tools/llvm-mc/ |
llvm-mc.cpp | 269 case AsmToken::Real: 270 OS << "real: " << Lexer.getTok().getString();
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/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
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/external/eigen/Eigen/src/Eigen2Support/Geometry/ |
Transform.h | 270 bool isApprox(const Transform& other, typename NumTraits<Scalar>::Real prec = precision<Scalar>()) const
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/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;
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