| /bionic/libm/upstream-freebsd/lib/msun/src/ |
| s_exp2f.c | 39 redux = 0x1.8p23f / TBLSIZE, variable
121 STRICT_ASSIGN(float, t, x + redux);
126 t -= redux;
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| s_exp2.c | 39 redux = 0x1.8p52 / TBLSIZE, variable
368 STRICT_ASSIGN(double, t, x + redux);
373 t -= redux;
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| /bionic/libm/upstream-freebsd/lib/msun/ld128/ |
| s_exp2l.c | 59 redux = 0x1.8p112 / TBLSIZE; variable
384 * Reduce x, computing z, i0, and k. The low bits of x + redux
390 * Then the low-order word of x + redux is 0x000abc12,
397 u.e = x + redux;
401 u.e -= redux;
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| /external/eigen/Eigen/src/Core/ |
| Redux.h | 401 /** \returns the result of a full redux operation on the whole matrix or vector using \a func
411 DenseBase<Derived>::redux(const Func& func) const function in class:Eigen::DenseBase
428 return derived().redux(Eigen::internal::scalar_min_op<Scalar,Scalar>());
438 return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
453 return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
468 return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
487 return derived().redux(Eigen::internal::scalar_product_op<Scalar>());
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| VectorwiseOp.h | 21 * \tparam MatrixType the type of the matrix we are applying the redux operation
23 * \tparam Direction indicates the direction of the redux (#Vertical or #Horizontal)
25 * This class represents an expression of a partial redux operator of a matrix.
134 { return mat.redux(m_functor); }
145 * \tparam Direction indicates the direction of the redux (#Vertical or #Horizontal)
264 * of the custom redux operator. Note that func must be an associative operator.
271 redux(const BinaryOp& func = BinaryOp()) const function in class:Eigen::VectorwiseOp
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| /external/eigen/Eigen/src/Geometry/ |
| Homogeneous.h | 106 redux(const Func& func) const function in class:Eigen::Homogeneous
108 return func(m_matrix.redux(func), Scalar(1));
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