| /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/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;
|
| /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 );
|
| /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);
|
| /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>;
|
| /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...] |
| clarft.f | 21 * SUBROUTINE CLARFT( DIRECT, STOREV, N, K, V, LDV, TAU, T, LDT )
28 * COMPLEX T( LDT, * ), TAU( * ), V( LDV, * )
104 *> \param[in] TAU
106 *> TAU is COMPLEX array, dimension (K)
107 *> TAU(i) must contain the scalar factor of the elementary
164 SUBROUTINE CLARFT( DIRECT, STOREV, N, K, V, LDV, TAU, T, LDT )
176 COMPLEX T( LDT, * ), TAU( * ), V( LDV, * )
207 IF( TAU( I ).EQ.ZERO ) THEN
224 T( J, I ) = -TAU( I ) * CONJG( V( I , J ) )
228 * T(1:i-1,i) := - tau(i) * V(i:j,1:i-1)**H * V(i:j,i
[all...] |
| dlarft.f | 21 * SUBROUTINE DLARFT( DIRECT, STOREV, N, K, V, LDV, TAU, T, LDT )
28 * DOUBLE PRECISION T( LDT, * ), TAU( * ), V( LDV, * )
104 *> \param[in] TAU
106 *> TAU is DOUBLE PRECISION array, dimension (K)
107 *> TAU(i) must contain the scalar factor of the elementary
164 SUBROUTINE DLARFT( DIRECT, STOREV, N, K, V, LDV, TAU, T, LDT )
176 DOUBLE PRECISION T( LDT, * ), TAU( * ), V( LDV, * )
206 IF( TAU( I ).EQ.ZERO ) THEN
223 T( J, I ) = -TAU( I ) * V( I , J )
227 * T(1:i-1,i) := - tau(i) * V(i:j,1:i-1)**T * V(i:j,i
[all...] |
| slarft.f | 21 * SUBROUTINE SLARFT( DIRECT, STOREV, N, K, V, LDV, TAU, T, LDT )
28 * REAL T( LDT, * ), TAU( * ), V( LDV, * )
104 *> \param[in] TAU
106 *> TAU is REAL array, dimension (K)
107 *> TAU(i) must contain the scalar factor of the elementary
164 SUBROUTINE SLARFT( DIRECT, STOREV, N, K, V, LDV, TAU, T, LDT )
176 REAL T( LDT, * ), TAU( * ), V( LDV, * )
206 IF( TAU( I ).EQ.ZERO ) THEN
223 T( J, I ) = -TAU( I ) * V( I , J )
227 * T(1:i-1,i) := - tau(i) * V(i:j,1:i-1)**T * V(i:j,i
[all...] |
| zlarft.f | 21 * SUBROUTINE ZLARFT( DIRECT, STOREV, N, K, V, LDV, TAU, T, LDT )
28 * COMPLEX*16 T( LDT, * ), TAU( * ), V( LDV, * )
104 *> \param[in] TAU
106 *> TAU is COMPLEX*16 array, dimension (K)
107 *> TAU(i) must contain the scalar factor of the elementary
164 SUBROUTINE ZLARFT( DIRECT, STOREV, N, K, V, LDV, TAU, T, LDT )
176 COMPLEX*16 T( LDT, * ), TAU( * ), V( LDV, * )
207 IF( TAU( I ).EQ.ZERO ) THEN
224 T( J, I ) = -TAU( I ) * CONJG( V( I , J ) )
228 * T(1:i-1,i) := - tau(i) * V(i:j,1:i-1)**H * V(i:j,i
[all...] |
| /external/ImageMagick/MagickCore/ |
| segment.c | 122 #define Tau 5.2f
157 tau;
175 tau,
154 tau; member in struct:_IntervalTree
172 tau, member in struct:_ZeroCrossing
1506 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/eigen/Eigen/src/misc/ |
| lapacke.h | [all...] |
| /external/libopus/src/ |
| analysis.c | 530 float tau; local
546 tau = .00005f*frame_probs[1];
554 p0 = (1-tonal->music_prob)*(1-tau) + tonal->music_prob *tau;
555 p1 = tonal->music_prob *(1-tau) + (1-tonal->music_prob)*tau;
579 tonal->pspeech[0] = s0*(1-tau)*speech0;
580 tonal->pmusic [0] = m0*(1-tau)*music0;
588 tonal->pspeech[DETECT_SIZE-1] = m0*tau*speech0;
590 tonal->pmusic [DETECT_SIZE-1] = s0*tau*music0
[all...] |
