| /external/lmfit/demo/ |
| nonlin1.c | 61 printf(" d = %19.11f => ", status.fnorm);
64 if( status.fnorm >= control.ftol )
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| curve1.c | 55 printf("obtained norm:\n %12g\n", status.fnorm );
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| curve2.c | 53 printf("obtained norm:\n %12g\n", status.fnorm );
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| surface1.c | 81 printf("obtained norm:\n %12g\n", status.fnorm );
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| /external/lmfit/lib/ |
| lmstruct.h | 64 double fnorm; /* norm of the residue vector fvec. */ member in struct:__anon32217
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| lmmin.c | 128 double actred, dirder, fnorm, fnorm1, gnorm, pnorm, prered, ratio, step, local
242 fnorm = lm_enorm(m, fvec);
244 fprintf(msgfile, " fnorm = %18.8g\n", fnorm);
246 if (!isfinite(fnorm)) {
249 } else if (fnorm <= LM_DWARF) {
333 gnorm = MAX(gnorm, fabs(sum / wa2[Pivot[j]] / fnorm));
360 " pnorm fnorm");
399 temp2 = lmpar * SQR(pnorm / fnorm);
405 temp1 = SQR(lm_enorm(n, wa3) / fnorm);
[all...] |
| /external/tensorflow/tensorflow/core/kernels/ |
| mfcc_dct.cc | 46 double fnorm = sqrt(2.0 / input_length_); local
53 cosines_[i][j] = fnorm * cos(i * arg * (j + 0.5));
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| /external/tensorflow/tensorflow/lite/kernels/internal/ |
| mfcc_dct.cc | 42 double fnorm = sqrt(2.0 / input_length_); local
49 cosines_[i][j] = fnorm * cos(i * arg * (j + 0.5));
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| /external/eigen/unsupported/Eigen/src/NonLinearOptimization/ |
| LevenbergMarquardt.h | 56 : functor(_functor) { nfev = njev = iter = 0; fnorm = gnorm = 0.; useExternalScaling=false; }
113 Scalar fnorm, gnorm; member in class:Eigen::LevenbergMarquardt
203 fnorm = fvec.stableNorm();
259 if (fnorm != 0.)
262 gnorm = (std::max)(gnorm, abs( fjac.col(j).head(j+1).dot(qtf.head(j+1)/fnorm) / wa2[permutation.indices()[j]]));
294 if (Scalar(.1) * fnorm1 < fnorm)
295 actred = 1. - numext::abs2(fnorm1 / fnorm);
300 temp1 = numext::abs2(wa3.stableNorm() / fnorm);
301 temp2 = numext::abs2(sqrt(par) * pnorm / fnorm);
317 if (Scalar(.1) * fnorm1 >= fnorm || temp < Scalar(.1)
[all...] |
| HybridNonLinearSolver.h | 49 : functor(_functor) { nfev=njev=iter = 0; fnorm= 0.; useExternalScaling=false;}
97 Scalar fnorm; member in class:Eigen::HybridNonLinearSolver
172 fnorm = fvec.stableNorm();
256 if (fnorm1 < fnorm) /* Computing 2nd power */
257 actred = 1. - numext::abs2(fnorm1 / fnorm);
263 if (temp < fnorm) /* Computing 2nd power */
264 prered = 1. - numext::abs2(temp / fnorm);
293 fnorm = fnorm1;
307 if (delta <= parameters.xtol * xnorm || fnorm == 0.)
412 fnorm = fvec.stableNorm()
[all...] |
| /external/lmfit/ruby/inline/ |
| curve1_rubyinline.rb | 76 printf("obtained norm:\\n %12g\\n", status.fnorm );
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| /external/eigen/unsupported/test/ |
| NonLinearOptimization.cpp | 199 double fnorm, covfac; local
216 fnorm = lm.fvec.blueNorm();
217 VERIFY_IS_APPROX(fnorm, 0.09063596);
225 covfac = fnorm*fnorm/(m-n);
504 double fnorm; local
521 fnorm = lm.fvec.blueNorm();
522 VERIFY_IS_APPROX(fnorm, 0.09063596);
590 double fnorm, covfac; local
607 fnorm = lm.fvec.blueNorm()
[all...] |
| levenberg_marquardt.cpp | 97 double fnorm, covfac; local
114 fnorm = lm.fvec().blueNorm();
115 VERIFY_IS_APPROX(fnorm, 0.09063596);
123 covfac = fnorm*fnorm/(m-n);
200 double fnorm, covfac; local
217 fnorm = lm.fvec().blueNorm();
218 VERIFY_IS_APPROX(fnorm, 0.09063596);
226 covfac = fnorm*fnorm/(m-n)
[all...] |
| /external/eigen/unsupported/Eigen/src/LevenbergMarquardt/ |
| LevenbergMarquardt.h | 209 RealScalar fnorm() {return m_fnorm; } function in class:Eigen::LevenbergMarquardt
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