| /external/eigen/unsupported/Eigen/src/LevenbergMarquardt/ |
| LMonestep.h | 27 RealScalar pnorm, xnorm, fnorm1, actred, dirder, prered; local
30 temp = 0.0; xnorm = 0.0;
61 xnorm = m_diag.cwiseProduct(x).stableNorm();
62 m_delta = m_factor * xnorm;
150 xnorm = m_wa2.stableNorm();
156 if (abs(actred) <= m_ftol && prered <= m_ftol && Scalar(.5) * ratio <= 1. && m_delta <= m_xtol * xnorm)
166 if (m_delta <= m_xtol * xnorm)
183 if (m_delta <= NumTraits<Scalar>::epsilon() * xnorm)
|
| /external/eigen/lapack/ |
| clarfg.f | 130 REAL ALPHI, ALPHR, BETA, RSAFMN, SAFMIN, XNORM
150 XNORM = SCNRM2( N-1, X, INCX )
154 IF( XNORM.EQ.ZERO .AND. ALPHI.EQ.ZERO ) THEN
163 BETA = -SIGN( SLAPY3( ALPHR, ALPHI, XNORM ), ALPHR )
170 * XNORM, BETA may be inaccurate; scale X and recompute them
183 XNORM = SCNRM2( N-1, X, INCX )
185 BETA = -SIGN( SLAPY3( ALPHR, ALPHI, XNORM ), ALPHR )
|
| dlarfg.f | 130 DOUBLE PRECISION BETA, RSAFMN, SAFMIN, XNORM
149 XNORM = DNRM2( N-1, X, INCX )
151 IF( XNORM.EQ.ZERO ) THEN
160 BETA = -SIGN( DLAPY2( ALPHA, XNORM ), ALPHA )
165 * XNORM, BETA may be inaccurate; scale X and recompute them
178 XNORM = DNRM2( N-1, X, INCX )
179 BETA = -SIGN( DLAPY2( ALPHA, XNORM ), ALPHA )
|
| slarfg.f | 130 REAL BETA, RSAFMN, SAFMIN, XNORM
149 XNORM = SNRM2( N-1, X, INCX )
151 IF( XNORM.EQ.ZERO ) THEN
160 BETA = -SIGN( SLAPY2( ALPHA, XNORM ), ALPHA )
165 * XNORM, BETA may be inaccurate; scale X and recompute them
178 XNORM = SNRM2( N-1, X, INCX )
179 BETA = -SIGN( SLAPY2( ALPHA, XNORM ), ALPHA )
|
| zlarfg.f | 130 DOUBLE PRECISION ALPHI, ALPHR, BETA, RSAFMN, SAFMIN, XNORM
150 XNORM = DZNRM2( N-1, X, INCX )
154 IF( XNORM.EQ.ZERO .AND. ALPHI.EQ.ZERO ) THEN
163 BETA = -SIGN( DLAPY3( ALPHR, ALPHI, XNORM ), ALPHR )
170 * XNORM, BETA may be inaccurate; scale X and recompute them
183 XNORM = DZNRM2( N-1, X, INCX )
185 BETA = -SIGN( DLAPY3( ALPHR, ALPHI, XNORM ), ALPHR )
|
| /external/eigen/unsupported/Eigen/src/NonLinearOptimization/ |
| LevenbergMarquardt.h | 121 Scalar pnorm, xnorm, fnorm1, actred, dirder, prered; member in class:Eigen::LevenbergMarquardt
238 xnorm = diag.cwiseProduct(x).stableNorm();
239 delta = parameters.factor * xnorm;
326 xnorm = wa2.stableNorm();
332 if (abs(actred) <= parameters.ftol && prered <= parameters.ftol && Scalar(.5) * ratio <= 1. && delta <= parameters.xtol * xnorm)
336 if (delta <= parameters.xtol * xnorm)
344 if (delta <= NumTraits<Scalar>::epsilon() * xnorm)
494 xnorm = diag.cwiseProduct(x).stableNorm();
495 delta = parameters.factor * xnorm;
576 xnorm = wa2.stableNorm()
[all...] |
| HybridNonLinearSolver.h | 109 Scalar pnorm, xnorm, fnorm1; member in class:Eigen::HybridNonLinearSolver
213 xnorm = diag.cwiseProduct(x).stableNorm();
214 delta = parameters.factor * xnorm;
292 xnorm = wa2.stableNorm();
307 if (delta <= parameters.xtol * xnorm || fnorm == 0.)
313 if (Scalar(.1) * (std::max)(Scalar(.1) * delta, pnorm) <= NumTraits<Scalar>::epsilon() * xnorm)
456 xnorm = diag.cwiseProduct(x).stableNorm();
457 delta = parameters.factor * xnorm;
535 xnorm = wa2.stableNorm();
550 if (delta <= parameters.xtol * xnorm || fnorm == 0.
[all...] |
| /cts/tests/tests/hardware/src/android/hardware/camera2/cts/ |
| AllocationTest.java | 184 * @param xNorm The X coordinate defining the left side of the rectangle (in [0, 1]).
192 public Patch(Size size, float xNorm, float yNorm, float wNorm, float hNorm) {
195 assertInRange(xNorm, 0.0f, 1.0f);
203 xTile = (int)Math.ceil(xNorm * wFull);
[all...] |
| /cts/apps/CameraITS/pymodules/its/ |
| image.py | 434 def get_image_patch(img, xnorm, ynorm, wnorm, hnorm):
439 xnorm,ynorm,wnorm,hnorm: Normalized (in [0,1]) coords for the tile.
446 xtile = math.ceil(xnorm * wfull)
|
