/external/eigen/Eigen/src/Householder/ |
Householder.h | 28 * \f$ H = I - tau v v^*\f$ 35 * \param tau the scaling factor of the Householder transformation 42 void MatrixBase<Derived>::makeHouseholderInPlace(Scalar& tau, RealScalar& beta) 45 makeHouseholder(essentialPart, tau, beta); 51 * \f$ H = I - tau v v^*\f$ 57 * \param tau the scaling factor of the Householder transformation 67 Scalar& tau, 82 tau = RealScalar(0); 92 tau = conj((beta - c0) / beta); 97 * \f$ H = I - tau v v^*\f [all...] |
/external/u-boot/post/lib_powerpc/fpu/ |
darwin-ldouble.c | 92 double t, tau, u, v, w; local 104 asm("fmsub %0,%1,%2,%3" : "=f"(tau) : "f"(a), "f"(c), "f"(t)); 106 tau = fmsub(a, c, t); 110 tau += v + w; /* Add in other second-order terms. */ 111 u = t + tau; 117 z.dval[1] = (t - u) + tau;
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/external/compiler-rt/lib/builtins/ppc/ |
gcc_qmul.c | 21 double ab, tmp, tau; local 47 tau = ab + tmp; 49 dst.s.lo = (ab - tau) + tmp; 50 dst.s.hi = tau;
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/external/eigen/bench/btl/libs/BLAS/ |
blas_interface.hh | 32 void ssytrd_(char *uplo, const int *n, float *a, const int *lda, float *d, float *e, float *tau, float *work, int *lwork, int *info ); 33 void dsytrd_(char *uplo, const int *n, double *a, const int *lda, double *d, double *e, double *tau, double *work, int *lwork, int *info ); 34 void sgehrd_( const int *n, int *ilo, int *ihi, float *a, const int *lda, float *tau, float *work, int *lwork, int *info ); 35 void dgehrd_( const int *n, int *ilo, int *ihi, double *a, const int *lda, double *tau, double *work, int *lwork, int *info );
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/external/eigen/unsupported/Eigen/src/IterativeSolvers/ |
GMRES.h | 89 VectorType tau = VectorType::Zero(restart + 1); local 100 r0.makeHouseholder(H0_tail, tau.coeffRef(0), beta); 112 v.tail(m - i).applyHouseholderOnTheLeft(H.col(i).tail(m - i - 1), tau.coeffRef(i), workspace.data()); 122 v.tail(m - i).applyHouseholderOnTheLeft(H.col(i).tail(m - i - 1), tau.coeffRef(i), workspace.data()); 131 v.tail(m - k).makeHouseholder(Hk_tail, tau.coeffRef(k), beta); 134 v.tail(m - k).applyHouseholderOnTheLeft(Hk_tail, tau.coeffRef(k), workspace.data()); 175 x_new.tail(m - i).applyHouseholderOnTheLeft(H.col(i).tail(m - i - 1), tau.coeffRef(i), workspace.data()); 195 tau.setZero(); 198 r0.makeHouseholder(H0_tail, tau.coeffRef(0), beta);
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/external/clang/test/SemaTemplate/ |
instantiate-var-template.cpp | 5 template <typename T> constexpr T tau = 2 * pi<T>; member in namespace:PR17846 6 constexpr double tau_double = tau<double>;
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/development/samples/ApiDemos/src/com/example/android/apis/view/ |
GameView.java | 358 float tau = (currentStepTime - mLastStepTime) * 0.001f; 364 mShip.accelerate(tau, mMaxShipThrust, mMaxShipSpeed); 365 if (!mShip.step(tau)) { 373 if (!bullet.step(tau)) { 384 if (!obstacle.step(tau)) { 542 public boolean step(float tau) { 543 mPositionX += mVelocityX * tau; 544 mPositionY += mVelocityY * tau; 547 mDestroyAnimProgress += tau / getDestroyAnimDuration(); 666 public void accelerate(float tau, float maxThrust, float maxSpeed) [all...] |
/external/eigen/Eigen/src/SparseQR/ |
SparseQR.h | 483 // Then update tval = tval - q * tau 503 Scalar tau = RealScalar(0); local 529 tau = numext::conj((beta-c0) / beta); 549 m_hcoeffs(nonzeroCol) = tau; 625 Scalar tau = Scalar(0); local 626 tau = m_qr.m_Q.col(k).dot(res.col(j)); 627 if(tau==Scalar(0)) continue; 628 tau = tau * m_qr.m_hcoeffs(k); 629 res.col(j) -= tau * m_qr.m_Q.col(k) 641 Scalar tau = Scalar(0); local [all...] |
/external/eigen/lapack/ |
slarfg.f | 21 * SUBROUTINE SLARFG( N, ALPHA, X, INCX, TAU ) 25 * REAL ALPHA, TAU 46 *> H = I - tau * ( 1 ) * ( 1 v**T ) , 49 *> where tau is a real scalar and v is a real (n-1)-element 52 *> If the elements of x are all zero, then tau = 0 and H is taken to be 55 *> Otherwise 1 <= tau <= 2. 88 *> \param[out] TAU 90 *> TAU is REAL 91 *> The value tau. 107 SUBROUTINE SLARFG( N, ALPHA, X, INCX, TAU ) [all...] |
clarf.f | 21 * SUBROUTINE CLARF( SIDE, M, N, V, INCV, TAU, C, LDC, WORK ) 26 * COMPLEX TAU 42 *> H = I - tau * v * v**H 44 *> where tau is a complex scalar and v is a complex vector. 46 *> If tau = 0, then H is taken to be the unit matrix. 48 *> To apply H**H (the conjugate transpose of H), supply conjg(tau) instead 49 *> tau. 80 *> TAU = 0. 89 *> \param[in] TAU 91 *> TAU is COMPLE [all...] |
clarfg.f | 21 * SUBROUTINE CLARFG( N, ALPHA, X, INCX, TAU ) 25 * COMPLEX ALPHA, TAU 46 *> H = I - tau * ( 1 ) * ( 1 v**H ) , 49 *> where tau is a complex scalar and v is a complex (n-1)-element 52 *> If the elements of x are all zero and alpha is real, then tau = 0 55 *> Otherwise 1 <= real(tau) <= 2 and abs(tau-1) <= 1 . 88 *> \param[out] TAU 90 *> TAU is COMPLEX 91 *> The value tau [all...] |
zlarf.f | 21 * SUBROUTINE ZLARF( SIDE, M, N, V, INCV, TAU, C, LDC, WORK ) 26 * COMPLEX*16 TAU 42 *> H = I - tau * v * v**H 44 *> where tau is a complex scalar and v is a complex vector. 46 *> If tau = 0, then H is taken to be the unit matrix. 48 *> To apply H**H, supply conjg(tau) instead 49 *> tau. 80 *> TAU = 0. 89 *> \param[in] TAU 91 *> TAU is COMPLEX*1 [all...] |
zlarfg.f | 21 * SUBROUTINE ZLARFG( N, ALPHA, X, INCX, TAU ) 25 * COMPLEX*16 ALPHA, TAU 46 *> H = I - tau * ( 1 ) * ( 1 v**H ) , 49 *> where tau is a complex scalar and v is a complex (n-1)-element 52 *> If the elements of x are all zero and alpha is real, then tau = 0 55 *> Otherwise 1 <= real(tau) <= 2 and abs(tau-1) <= 1 . 88 *> \param[out] TAU 90 *> TAU is COMPLEX*16 91 *> The value tau [all...] |
dlarfg.f | 21 * SUBROUTINE DLARFG( N, ALPHA, X, INCX, TAU ) 25 * DOUBLE PRECISION ALPHA, TAU 46 *> H = I - tau * ( 1 ) * ( 1 v**T ) , 49 *> where tau is a real scalar and v is a real (n-1)-element 52 *> If the elements of x are all zero, then tau = 0 and H is taken to be 55 *> Otherwise 1 <= tau <= 2. 88 *> \param[out] TAU 90 *> TAU is DOUBLE PRECISION 91 *> The value tau. 107 SUBROUTINE DLARFG( N, ALPHA, X, INCX, TAU ) [all...] |
dlarf.f | 21 * SUBROUTINE DLARF( SIDE, M, N, V, INCV, TAU, C, LDC, WORK ) 26 * DOUBLE PRECISION TAU 41 *> H = I - tau * v * v**T 43 *> where tau is a real scalar and v is a real vector. 45 *> If tau = 0, then H is taken to be the unit matrix. 76 *> TAU = 0. 85 *> \param[in] TAU 87 *> TAU is DOUBLE PRECISION 88 *> The value tau in the representation of H. 125 SUBROUTINE DLARF( SIDE, M, N, V, INCV, TAU, C, LDC, WORK [all...] |
slarf.f | 21 * SUBROUTINE SLARF( SIDE, M, N, V, INCV, TAU, C, LDC, WORK ) 26 * REAL TAU 41 *> H = I - tau * v * v**T 43 *> where tau is a real scalar and v is a real vector. 45 *> If tau = 0, then H is taken to be the unit matrix. 76 *> TAU = 0. 85 *> \param[in] TAU 87 *> TAU is REAL 88 *> The value tau in the representation of H. 125 SUBROUTINE SLARF( SIDE, M, N, V, INCV, TAU, C, LDC, WORK [all...] |
/external/ImageMagick/MagickCore/ |
segment.c | 123 #define Tau 5.2f 158 tau; 176 tau, 155 tau; member in struct:_IntervalTree 173 tau, member in struct:_ZeroCrossing 1523 tau, local [all...] |
/development/samples/ControllerSample/src/com/example/controllersample/ |
GameView.java | 322 float tau = (currentStepTime - mLastStepTime) * 0.001f; local 330 currentShip.accelerate(tau); 331 if (!currentShip.step(tau)) { 341 if (!bullet.step(tau)) { 352 if (!obstacle.step(tau)) { 540 * Moves the sprite based on the elapsed time defined by tau. 542 * @param tau the elapsed time in seconds since the last step 545 public boolean step(float tau) { 546 mPositionX += mVelocityX * tau; 547 mPositionY += mVelocityY * tau; [all...] |
/external/eigen/Eigen/src/Eigenvalues/ |
RealSchur.h | 502 Scalar tau, beta; local 504 v.makeHouseholder(ess, tau, beta); 514 m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); 515 m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); 517 m_matU.block(0, k, size, 3).applyHouseholderOnTheRight(ess, tau, workspace); 522 Scalar tau, beta; local 524 v.makeHouseholder(ess, tau, beta); 529 m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); 530 m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); 532 m_matU.block(0, iu-1, size, 2).applyHouseholderOnTheRight(ess, tau, workspace) [all...] |
RealQZ.h | 478 Scalar tau, beta; local 483 hr.makeHouseholderInPlace(tau, beta); 486 m_S.template middleRows<3>(k).rightCols(dim-fc).applyHouseholderOnTheLeft(essential2, tau, m_workspace.data()); 487 m_T.template middleRows<3>(k).rightCols(dim-fc).applyHouseholderOnTheLeft(essential2, tau, m_workspace.data()); 489 m_Q.template middleCols<3>(k).applyHouseholderOnTheRight(essential2, tau, m_workspace.data()); 495 hr.makeHouseholderInPlace(tau, beta); 503 m_S.col(k+2).head(lr) -= tau*tmp; 504 m_S.template middleCols<2>(k).topRows(lr) -= (tau*tmp) * essential2.adjoint(); 508 m_T.col(k+2).head(lr) -= tau*tmp; 509 m_T.template middleCols<2>(k).topRows(lr) -= (tau*tmp) * essential2.adjoint() [all...] |
/external/tensorflow/tensorflow/compiler/xla/client/lib/ |
qr.cc | 47 // H = I - tau v v.T. 65 // tau = 0 69 // tau = (beta - alpha) / beta 72 // return (v, tau, beta) 76 const int64 m, XlaOp* v, XlaOp* tau, XlaOp* beta) { 105 *tau = Select(sigma_is_zero, Broadcast(zero, batch_dims), 133 // v, tau, beta = house(a[:, j], j) 137 // a[:, :] -= tau * np.dot(v[:, np.newaxis], 144 // taus[j] = tau 184 XlaOp v, tau, beta [all...] |
self_adjoint_eig.cc | 66 // tau = (A[q, q] - A[p, p]) / (2 * A[p, q]) 67 // if tau >= 0: 68 // t = 1.0 / (tau + np.sqrt(1 + tau ** 2)) 70 // t = -1.0 / (-tau + np.sqrt(1 + tau ** 2)) 91 auto tau = (qs - ps) / (pqs * two); local 92 auto t_pos = one / (tau + Sqrt(one + Square(tau))); 93 auto t_neg = -one / (-tau + Sqrt(one + Square(tau))) [all...] |
/external/python/cpython3/Lib/test/test_json/ |
test_enum.py | 18 TAU = 2 * PI 23 tau = TAU variable in class:FloatNum 64 str([E, PI, TAU])) 79 e:"Euler's number", p:'pi', t:'tau', 89 self.assertEqual(nd[repr(TAU)], 'tau') 102 tau=FloatNum.tau, 114 self.assertEqual(nd['tau'], TAU [all...] |
/external/tensorflow/tensorflow/contrib/eager/python/examples/l2hmc/ |
main.py | 186 for tau in range(time_steps - t): 187 v_tau = samples_history[tau, :, :] - target_mean 188 v_tau_plus_t = samples_history[tau + t, :, :] - target_mean
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/external/eigen/Eigen/src/misc/ |
lapacke.h | [all...] |