| /external/eigen/unsupported/Eigen/src/NonLinearOptimization/ |
| D | lmpar.h | 34 Matrix< Scalar, Dynamic, 1 > wa1, wa2; in lmpar() local
39 wa1 = qtb; in lmpar()
44 wa1[j] = 0.; in lmpar()
47 wa1[j] /= r(j,j); in lmpar()
48 temp = wa1[j]; in lmpar()
50 wa1[i] -= r(i,j) * temp; in lmpar()
54 x[ipvt[j]] = wa1[j]; in lmpar()
75 wa1[j] = diag[l] * (wa2[l] / dxnorm); in lmpar()
82 sum += r(i,j) * wa1[i]; in lmpar()
83 wa1[j] = (wa1[j] - sum) / r(j,j); in lmpar()
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| D | dogleg.h | 27 Matrix< Scalar, Dynamic, 1 > wa1(n), wa2(n); in dogleg()
53 wa1.fill(0.); in dogleg()
55 wa1.tail(n-j) += qrfac.row(j).tail(n-j) * qtb[j]; in dogleg()
56 wa1[j] /= diag[j]; in dogleg()
61 gnorm = wa1.stableNorm(); in dogleg()
69 wa1.array() /= (diag*gnorm).array(); in dogleg()
75 sum += qrfac(j,i) * wa1[i]; in dogleg()
99 x = temp * wa1 + alpha * x; in dogleg()
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| D | HybridNonLinearSolver.h | 113 FVectorType wa1, wa2, wa3, wa4; variable
147 wa1.resize(n); wa2.resize(n); wa3.resize(n); wa4.resize(n); in solveInit()
235 internal::dogleg<Scalar>(R, diag, qtf, delta, wa1); in solveOneStep()
238 wa1 = -wa1; in solveOneStep()
239 wa2 = x + wa1; in solveOneStep()
240 pnorm = diag.cwiseProduct(wa1).stableNorm(); in solveOneStep()
258 wa3 = R.template triangularView<Upper>()*wa1 + qtf; in solveOneStep()
324 wa1 = diag.cwiseProduct( diag.cwiseProduct(wa1)/pnorm ); in solveOneStep()
331 internal::r1updt<Scalar>(R, wa1, v_givens, w_givens, wa2, wa3, &sing); in solveOneStep()
385 wa1.resize(n); wa2.resize(n); wa3.resize(n); wa4.resize(n); in solveNumericalDiffInit()
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| D | fdjac1.h | 28 Matrix< Scalar, Dynamic, 1 > wa1(n); in fdjac1()
41 iflag = Functor(x, wa1); in fdjac1()
45 fjac.col(j) = (wa1-fvec)/h; in fdjac1()
57 iflag = Functor(x, wa1); in fdjac1()
67 … fjac.col(j).segment(start, length) = ( wa1.segment(start, length)-fvec.segment(start, length))/h; in fdjac1()
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| D | LevenbergMarquardt.h | 115 FVectorType wa1, wa2, wa3, wa4; variable
169 wa1.resize(n); wa2.resize(n); wa3.resize(n); in minimizeInit()
265 internal::lmpar2<Scalar>(qrfac, diag, qtf, delta, par, wa1); in minimizeOneStep()
268 wa1 = -wa1; in minimizeOneStep()
269 wa2 = x + wa1; in minimizeOneStep()
270 pnorm = diag.cwiseProduct(wa1).stableNorm(); in minimizeOneStep()
289 wa3 = fjac.template triangularView<Upper>() * (qrfac.colsPermutation().inverse() *wa1); in minimizeOneStep()
380 wa1.resize(n); wa2.resize(n); wa3.resize(n); in minimizeOptimumStorageInit()
460 wa1 = fjac.diagonal(); in minimizeOptimumStorageOneStep()
475 fjac(j,j) = wa1[j]; in minimizeOptimumStorageOneStep()
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| /external/speex/libspeex/ |
| D | smallft.c | 116 static void dradf2(int ido,int l1,float *cc,float *ch,float *wa1){ in dradf2() argument
146 tr2=wa1[i-2]*cc[t3-1]+wa1[i-1]*cc[t3]; in dradf2()
147 ti2=wa1[i-2]*cc[t3]-wa1[i-1]*cc[t3-1]; in dradf2()
171 static void dradf4(int ido,int l1,float *cc,float *ch,float *wa1, in dradf4() argument
213 cr2=wa1[i-2]*cc[t3-1]+wa1[i-1]*cc[t3]; in dradf4()
214 ci2=wa1[i-2]*cc[t3]-wa1[i-1]*cc[t3-1]; in dradf4()
636 static void dradb2(int ido,int l1,float *cc,float *ch,float *wa1){ in dradb2() argument
669 ch[t6-1]=wa1[i-2]*tr2-wa1[i-1]*ti2; in dradb2()
670 ch[t6]=wa1[i-2]*ti2+wa1[i-1]*tr2; in dradb2()
688 static void dradb3(int ido,int l1,float *cc,float *ch,float *wa1, in dradb3() argument
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| /external/libvorbis/lib/ |
| D | smallft.c | 114 static void dradf2(int ido,int l1,float *cc,float *ch,float *wa1){ in dradf2() argument
144 tr2=wa1[i-2]*cc[t3-1]+wa1[i-1]*cc[t3]; in dradf2()
145 ti2=wa1[i-2]*cc[t3]-wa1[i-1]*cc[t3-1]; in dradf2()
169 static void dradf4(int ido,int l1,float *cc,float *ch,float *wa1, in dradf4() argument
211 cr2=wa1[i-2]*cc[t3-1]+wa1[i-1]*cc[t3]; in dradf4()
212 ci2=wa1[i-2]*cc[t3]-wa1[i-1]*cc[t3-1]; in dradf4()
634 static void dradb2(int ido,int l1,float *cc,float *ch,float *wa1){ in dradb2() argument
667 ch[t6-1]=wa1[i-2]*tr2-wa1[i-1]*ti2; in dradb2()
668 ch[t6]=wa1[i-2]*ti2+wa1[i-1]*tr2; in dradb2()
686 static void dradb3(int ido,int l1,float *cc,float *ch,float *wa1, in dradb3() argument
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| /external/icu4c/data/translit/ |
| D | Latin_Bopomofo.txt | 1308 wa1 ← ㄨㄚ;
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