Searched refs:xnorm (Results 1 – 4 of 4) sorted by relevance
| /external/eigen/unsupported/Eigen/src/LevenbergMarquardt/ |
| D | LMonestep.h | 27 RealScalar pnorm, xnorm, fnorm1, actred, dirder, prered; in minimizeOneStep() local
30 temp = 0.0; xnorm = 0.0; in minimizeOneStep()
61 xnorm = m_diag.cwiseProduct(x).stableNorm(); in minimizeOneStep()
62 m_delta = m_factor * xnorm; in minimizeOneStep()
150 xnorm = m_wa2.stableNorm(); in minimizeOneStep()
156 …abs(actred) <= m_ftol && prered <= m_ftol && Scalar(.5) * ratio <= 1. && m_delta <= m_xtol * xnorm) in minimizeOneStep()
166 if (m_delta <= m_xtol * xnorm) in minimizeOneStep()
183 if (m_delta <= NumTraits<Scalar>::epsilon() * xnorm) in minimizeOneStep()
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| /external/eigen/unsupported/Eigen/src/NonLinearOptimization/ |
| D | HybridNonLinearSolver.h | 109 Scalar pnorm, xnorm, fnorm1; variable
213 xnorm = diag.cwiseProduct(x).stableNorm(); in solveOneStep()
214 delta = parameters.factor * xnorm; in solveOneStep()
292 xnorm = wa2.stableNorm(); in solveOneStep()
307 if (delta <= parameters.xtol * xnorm || fnorm == 0.) in solveOneStep()
313 … if (Scalar(.1) * (std::max)(Scalar(.1) * delta, pnorm) <= NumTraits<Scalar>::epsilon() * xnorm) in solveOneStep()
456 xnorm = diag.cwiseProduct(x).stableNorm(); in solveNumericalDiffOneStep()
457 delta = parameters.factor * xnorm; in solveNumericalDiffOneStep()
535 xnorm = wa2.stableNorm(); in solveNumericalDiffOneStep()
550 if (delta <= parameters.xtol * xnorm || fnorm == 0.) in solveNumericalDiffOneStep()
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| D | LevenbergMarquardt.h | 128 Scalar pnorm, xnorm, fnorm1, actred, dirder, prered; variable
245 xnorm = diag.cwiseProduct(x).stableNorm(); in minimizeOneStep()
246 delta = parameters.factor * xnorm; in minimizeOneStep()
333 xnorm = wa2.stableNorm(); in minimizeOneStep()
339 ….ftol && prered <= parameters.ftol && Scalar(.5) * ratio <= 1. && delta <= parameters.xtol * xnorm) in minimizeOneStep()
343 if (delta <= parameters.xtol * xnorm) in minimizeOneStep()
351 if (delta <= NumTraits<Scalar>::epsilon() * xnorm) in minimizeOneStep()
501 xnorm = diag.cwiseProduct(x).stableNorm(); in minimizeOptimumStorageOneStep()
502 delta = parameters.factor * xnorm; in minimizeOptimumStorageOneStep()
583 xnorm = wa2.stableNorm(); in minimizeOptimumStorageOneStep()
[all …]
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| /external/lmfit/lib/ |
| D | lmmin.c | 138 double xnorm = 0; in lmmin() local
350 xnorm = lm_enorm(n, wa3); in lmmin()
354 fprintf(msgfile, " xnorm = %18.8g\n", xnorm); in lmmin()
366 xnorm = lm_enorm(n, x); in lmmin()
368 if (!isfinite(xnorm)) { in lmmin()
373 if (xnorm) in lmmin()
374 delta = C->stepbound * xnorm; in lmmin()
485 xnorm = lm_enorm(n, wa2); in lmmin()
486 if (!isfinite(xnorm)) { in lmmin()
500 if (delta <= C->xtol * xnorm) in lmmin()
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