Searched refs:gnorm (Results 1 – 7 of 7) sorted by relevance
| /external/eigen/unsupported/Eigen/src/NonLinearOptimization/ |
| D | dogleg.h | 21 Scalar gnorm, qnorm; in dogleg() local
64 gnorm = wa1.stableNorm(); in dogleg()
67 if (gnorm == 0.) in dogleg()
72 wa1.array() /= (diag*gnorm).array(); in dogleg()
83 sgnorm = gnorm / temp / temp; in dogleg()
94 temp = bnorm / gnorm * (bnorm / qnorm) * (sgnorm / delta); in dogleg()
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| D | lmpar.h | 25 Scalar gnorm; in lmpar() local
95 gnorm = wa1.stableNorm(); in lmpar()
96 paru = gnorm / delta; in lmpar()
105 par = gnorm / dxnorm; in lmpar()
183 Scalar gnorm; in lmpar2() local
233 gnorm = wa1.stableNorm(); in lmpar2()
234 paru = gnorm / delta; in lmpar2()
243 par = gnorm / dxnorm; in lmpar2()
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| D | LevenbergMarquardt.h | 56 … : functor(_functor) { nfev = njev = iter = 0; fnorm = gnorm = 0.; useExternalScaling=false; } in LevenbergMarquardt()
113 Scalar fnorm, gnorm; variable
258 gnorm = 0.; in minimizeOneStep()
262 …gnorm = (std::max)(gnorm, abs( fjac.col(j).head(j+1).dot(qtf.head(j+1)/fnorm) / wa2[permutation.in… in minimizeOneStep()
265 if (gnorm <= parameters.gtol) in minimizeOneStep()
353 if (gnorm <= NumTraits<Scalar>::epsilon()) in minimizeOneStep()
508 gnorm = 0.; in minimizeOptimumStorageOneStep()
512 …gnorm = (std::max)(gnorm, abs( fjac.col(j).head(j+1).dot(qtf.head(j+1)/fnorm) / wa2[permutation.in… in minimizeOptimumStorageOneStep()
515 if (gnorm <= parameters.gtol) in minimizeOptimumStorageOneStep()
603 if (gnorm <= NumTraits<Scalar>::epsilon()) in minimizeOptimumStorageOneStep()
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| /external/eigen/unsupported/Eigen/src/LevenbergMarquardt/ |
| D | LMpar.h | 41 Scalar gnorm; in lmpar2() local
96 gnorm = wa1.stableNorm(); in lmpar2()
97 paru = gnorm / m_delta; in lmpar2()
106 par = gnorm / dxnorm; in lmpar2()
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| D | LevenbergMarquardt.h | 212 RealScalar gnorm() {return m_gnorm; } in gnorm() function
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| /external/lmfit/lib/ |
| D | lmmin.c | 128 double actred, dirder, fnorm, fnorm1, gnorm, pnorm, prered, ratio, step, in lmmin() local
326 gnorm = 0; in lmmin()
333 gnorm = MAX(gnorm, fabs(sum / wa2[Pivot[j]] / fnorm)); in lmmin()
336 if (gnorm <= C->gtol) { in lmmin()
520 if (gnorm <= LM_MACHEP) { in lmmin()
625 double dxnorm, fp, fp_old, gnorm, parc, parl, paru; in lm_lmpar() local
692 gnorm = lm_enorm(n, aux); in lm_lmpar()
693 paru = gnorm / delta; in lm_lmpar()
703 *par = gnorm / dxnorm; in lm_lmpar()
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| /external/tensorflow/tensorflow/contrib/gan/python/losses/python/ |
| D | losses_impl_test.py | 664 gnorm = clip_ops.global_norm(tensors)
669 gnorm_np, precond_gnorm_np = sess.run([gnorm, precond_gnorm])
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