| /external/dropbear/libtommath/ |
| bn_s_mp_exptmod.c | 28 int (*redux)(mp_int*,mp_int*,mp_int*);
80 redux = mp_reduce;
85 redux = mp_reduce_2k_l;
115 if ((err = redux (&M[1 << (winsize - 1)], P, &mu)) != MP_OKAY) {
127 if ((err = redux (&M[x], P, &mu)) != MP_OKAY) {
176 if ((err = redux (&res, P, &mu)) != MP_OKAY) {
193 if ((err = redux (&res, P, &mu)) != MP_OKAY) {
202 if ((err = redux (&res, P, &mu)) != MP_OKAY) {
220 if ((err = redux (&res, P, &mu)) != MP_OKAY) {
230 if ((err = redux (&res, P, &mu)) != MP_OKAY)
[all...] |
| bn_mp_exptmod_fast.c | 42 int (*redux)(mp_int*,mp_int*,mp_digit);
101 redux = fast_mp_montgomery_reduce;
107 redux = mp_montgomery_reduce;
117 redux = mp_dr_reduce;
128 redux = mp_reduce_2k;
178 if ((err = redux (&M[1 << (winsize - 1)], P, mp)) != MP_OKAY) {
188 if ((err = redux (&M[x], P, mp)) != MP_OKAY) {
231 if ((err = redux (&res, P, mp)) != MP_OKAY) {
248 if ((err = redux (&res, P, mp)) != MP_OKAY) {
257 if ((err = redux (&res, P, mp)) != MP_OKAY)
[all...] |
| /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;
|
| s_exp2.c | 39 redux = 0x1.8p52 / TBLSIZE, variable
368 STRICT_ASSIGN(double, t, x + redux);
373 t -= redux;
|
| /external/eigen/Eigen/src/Core/ |
| Redux.h | 316 /** \returns the result of a full redux operation on the whole matrix or vector using \a func
326 DenseBase<Derived>::redux(const Func& func) const function in class:Eigen::DenseBase
339 return this->redux(Eigen::internal::scalar_min_op<Scalar>());
348 return this->redux(Eigen::internal::scalar_max_op<Scalar>());
361 return this->redux(Eigen::internal::scalar_sum_op<Scalar>());
372 return Scalar(this->redux(Eigen::internal::scalar_sum_op<Scalar>())) / Scalar(this->size());
388 return this->redux(Eigen::internal::scalar_product_op<Scalar>());
|
| StableNorm.h | 174 return this->cwiseAbs().redux(internal::scalar_hypot_op<RealScalar>());
|
| 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.
143 { return mat.redux(m_functor); }
154 * \param Direction indicates the direction of the redux (#Vertical or #Horizontal)
247 * of the custom redux operator. Note that func must be an associative operator.
253 redux(const BinaryOp& func = BinaryOp()) const function in class:Eigen::VectorwiseOp
|
| DenseBase.h | 426 redux(const BinaryOp& func) const;
|
| /external/wpa_supplicant_8/src/tls/ |
| libtommath.c | [all...] |
| /external/dropbear/libtommath/pre_gen/ |
| mpi.c | [all...] |
| /external/eigen/test/eigen2/ |
| eigen2_array.cpp | 49 VERIFY_IS_APPROX(m1.colwise().sum(), m1.colwise().redux(internal::scalar_sum_op<Scalar>()));
|
| /external/eigen/test/ |
| array_for_matrix.cpp | 49 VERIFY_IS_APPROX(m1.colwise().sum(), m1.colwise().redux(internal::scalar_sum_op<Scalar>()));
|
| array.cpp | 71 VERIFY_IS_APPROX(m1.colwise().sum(), m1.colwise().redux(internal::scalar_sum_op<Scalar>()));
|
