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Searched refs:Bij (Results 1 – 25 of 1002) sorted by relevance

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/dports/math/tmv/tmv-0.75/src/
H A DTMV_MultDM.cpp63 T* Bij = Browi; in RowMultEqMM() local
65 for(ptrdiff_t j=N;j>0;--j,(rm?++Bij:Bij+=stepj)) { in RowMultEqMM()
73 for(ptrdiff_t j=N;j>0;--j,(rm?++Bij:Bij+=stepj)) { in RowMultEqMM()
81 for(ptrdiff_t j=N;j>0;--j,(rm?++Bij:Bij+=stepj)) { in RowMultEqMM()
115 T* Bij = Bcolj; in DoColMultEqMM() local
117 for(ptrdiff_t i=M;i>0;--i,++Ai,(cm?++Bij:Bij+=stepi)) { in DoColMultEqMM()
236 for(ptrdiff_t j=N;j>0;--j,(rm?++Bij:Bij+=Bstepj), in DoRowAddMultMM()
242 *Cij += TMV_REAL(*Ai)*(cb?TMV_CONJ(*Bij):*Bij); in DoRowAddMultMM()
246 for(ptrdiff_t j=N;j>0;--j,(rm?++Bij:Bij+=Bstepj), in DoRowAddMultMM()
252 *Cij += (ca?TMV_CONJ(*Ai):*Ai)*(cb?TMV_CONJ(*Bij):*Bij); in DoRowAddMultMM()
[all …]
/dports/security/mkp224o/mkp224o-1.5.0/ed25519/ref10/
H A Dbase.py55 Bij = Bi variable
58 print " {",radix255(Bij[1]+Bij[0]),"},"
59 print " {",radix255(Bij[1]-Bij[0]),"},"
60 print " {",radix255(2*d*Bij[0]*Bij[1]),"},"
61 Bij = edwards(Bij,Bi) variable
/dports/net/cjdns/cjdns-cjdns-v21.1/node_build/dependencies/cnacl/crypto_sign/ed25519/ref10/
H A Dbase.py55 Bij = Bi variable
58 print " {",radix255(Bij[1]+Bij[0]),"},"
59 print " {",radix255(Bij[1]-Bij[0]),"},"
60 print " {",radix255(2*d*Bij[0]*Bij[1]),"},"
61 Bij = edwards(Bij,Bi) variable
/dports/security/py-ed25519ll/dholth-ed25519ll-37719c56b7b6/ed25519-supercop-ref10/
H A Dbase.py55 Bij = Bi
58 print " {",radix255(Bij[1]+Bij[0]),"},"
59 print " {",radix255(Bij[1]-Bij[0]),"},"
60 print " {",radix255(2*d*Bij[0]*Bij[1]),"},"
61 Bij = edwards(Bij,Bi)
/dports/math/arpack-ng/arpack-ng-3.8.0/EXAMPLES/PYARPACK/
H A DpyarpackDenseLDLT.py.in64 Bij = np.array([], dtype='complex64') variable
69 …Bij = np.append(Bij, np.complex64(np.complex( 33.3, 33.3))) # Casting value on append is MANDATOR… variable
72 …Bij = np.append(Bij, np.complex64(np.complex( 16.6, 16.6))) # Casting value on append is MANDATOR… variable
75 …Bij = np.append(Bij, np.complex64(np.complex( 16.6, 16.6))) # Casting value on append is MANDATOR… variable
78 …Bij = np.append(Bij, np.complex64(np.complex( 0., 0.))) # Casting value on append is MANDATOR… variable
81 for idx, val in enumerate(Bij):
84 B = (Bij, True) # raw format: Bij values, row ordered (or not).
H A DpyarpackDenseQRPP.py.in63 Bij = np.array([], dtype='complex64') variable
68 …Bij = np.append(Bij, np.complex64(np.complex( 33.3, 33.3))) # Casting value on append is MANDATOR… variable
71 …Bij = np.append(Bij, np.complex64(np.complex( 16.6, 16.6))) # Casting value on append is MANDATOR… variable
74 …Bij = np.append(Bij, np.complex64(np.complex( 16.6, 16.6))) # Casting value on append is MANDATOR… variable
77 …Bij = np.append(Bij, np.complex64(np.complex( 0., 0.))) # Casting value on append is MANDATOR… variable
80 for idx, val in enumerate(Bij):
83 B = (Bij, True) # raw format: Bij values, row ordered (or not).
H A DpyarpackDenseQRRR.py.in63 Bij = np.array([], dtype='complex64') variable
68 …Bij = np.append(Bij, np.complex64(np.complex( 33.3, 33.3))) # Casting value on append is MANDATOR… variable
71 …Bij = np.append(Bij, np.complex64(np.complex( 16.6, 16.6))) # Casting value on append is MANDATOR… variable
74 …Bij = np.append(Bij, np.complex64(np.complex( 16.6, 16.6))) # Casting value on append is MANDATOR… variable
77 …Bij = np.append(Bij, np.complex64(np.complex( 0., 0.))) # Casting value on append is MANDATOR… variable
80 for idx, val in enumerate(Bij):
83 B = (Bij, True) # raw format: Bij values, row ordered (or not).
H A DpyarpackDenseLURR.py.in60 Bij = np.array([], dtype='float32') variable
65 …Bij = np.append(Bij, np.float32( 33.3)) # Casting value on append is MANDATORY or C++ won't get th… variable
68 …Bij = np.append(Bij, np.float32( 16.6)) # Casting value on append is MANDATORY or C++ won't get th… variable
71 …Bij = np.append(Bij, np.float32( 0.)) # Casting value on append is MANDATORY or C++ won't get th… variable
74 for idx, val in enumerate(Bij):
77 B = (Bij, True) # raw format: Bij values, row ordered (or not).
H A DpyarpackDenseLLT.py.in61 Bij = np.array([], dtype='float32') variable
66 …Bij = np.append(Bij, np.float32( 33.3)) # Casting value on append is MANDATORY or C++ won't get th… variable
69 …Bij = np.append(Bij, np.float32( 16.6)) # Casting value on append is MANDATORY or C++ won't get th… variable
72 …Bij = np.append(Bij, np.float32( 0.)) # Casting value on append is MANDATORY or C++ won't get th… variable
75 for idx, val in enumerate(Bij):
78 B = (Bij, True) # raw format: Bij values, row ordered (or not).
H A DpyarpackDenseLUPP.py.in60 Bij = np.array([], dtype='float32') variable
65 …Bij = np.append(Bij, np.float32( 33.3)) # Casting value on append is MANDATORY or C++ won't get th… variable
68 …Bij = np.append(Bij, np.float32( 16.6)) # Casting value on append is MANDATORY or C++ won't get th… variable
71 …Bij = np.append(Bij, np.float32( 0.)) # Casting value on append is MANDATORY or C++ won't get th… variable
74 for idx, val in enumerate(Bij):
77 B = (Bij, True) # raw format: Bij values, row ordered (or not).
H A DpyarpackSparseQR.py.in69 Bij = np.array([], dtype='complex64') variable
78 …Bij = np.append(Bij, np.complex64(np.complex( 33.3, 33.3))) # Casting value on append is MANDATOR… variable
81 …Bij = np.append(Bij, np.complex64(np.complex( 16.6, 16.6))) # Casting value on append is MANDATOR… variable
84 …Bij = np.append(Bij, np.complex64(np.complex( 16.6, 16.6))) # Casting value on append is MANDATOR… variable
87 for k, l, Bkl in zip(i, j, Bij):
90 B = (n, i, j, Bij) # coo format: dimension, i 1-based indices, j 1-based indices, Bij values.
H A DpyarpackSparseBiCGILU.py.in72 Bij = np.array([], dtype='complex64') variable
81 …Bij = np.append(Bij, np.complex64(np.complex( 33.3, 33.3))) # Casting value on append is MANDATOR… variable
84 …Bij = np.append(Bij, np.complex64(np.complex( 16.6, 16.6))) # Casting value on append is MANDATOR… variable
87 …Bij = np.append(Bij, np.complex64(np.complex( 16.6, 16.6))) # Casting value on append is MANDATOR… variable
90 for k, l, Bkl in zip(i, j, Bij):
93 B = (n, i, j, Bij) # coo format: dimension, i 1-based indices, j 1-based indices, Bij values.
H A DpyarpackSparseCGILU.py.in72 Bij = np.array([], dtype='complex64') variable
81 …Bij = np.append(Bij, np.complex64(np.complex( 33.3, 33.3))) # Casting value on append is MANDATOR… variable
84 …Bij = np.append(Bij, np.complex64(np.complex( 16.6, 16.6))) # Casting value on append is MANDATOR… variable
87 …Bij = np.append(Bij, np.complex64(np.complex( 16.6, 16.6))) # Casting value on append is MANDATOR… variable
90 for k, l, Bkl in zip(i, j, Bij):
93 B = (n, i, j, Bij) # coo format: dimension, i 1-based indices, j 1-based indices, Bij values.
H A DpyarpackSparseLDLT.py.in70 Bij = np.array([], dtype='complex64') variable
79 …Bij = np.append(Bij, np.complex64(np.complex( 33.3, 33.3))) # Casting value on append is MANDATOR… variable
82 …Bij = np.append(Bij, np.complex64(np.complex( 16.6, 16.6))) # Casting value on append is MANDATOR… variable
85 …Bij = np.append(Bij, np.complex64(np.complex( 16.6, 16.6))) # Casting value on append is MANDATOR… variable
88 for k, l, Bkl in zip(i, j, Bij):
91 B = (n, i, j, Bij) # coo format: dimension, i 1-based indices, j 1-based indices, Bij values.
H A DpyarpackSparseCGDiag.py.in67 Bij = np.array([], dtype='float32') variable
76 …Bij = np.append(Bij, np.float32( 33.3)) # Casting value on append is MANDATORY or C++ won't get th… variable
79 …Bij = np.append(Bij, np.float32( 16.6)) # Casting value on append is MANDATORY or C++ won't get th… variable
82 for k, l, Bkl in zip(i, j, Bij):
85 B = (n, i, j, Bij) # coo format: dimension, i 1-based indices, j 1-based indices, Bij values.
H A DpyarpackSparseLLT.py.in67 Bij = np.array([], dtype='float32') variable
76 …Bij = np.append(Bij, np.float32( 33.3)) # Casting value on append is MANDATORY or C++ won't get th… variable
79 …Bij = np.append(Bij, np.float32( 16.6)) # Casting value on append is MANDATORY or C++ won't get th… variable
82 for k, l, Bkl in zip(i, j, Bij):
85 B = (n, i, j, Bij) # coo format: dimension, i 1-based indices, j 1-based indices, Bij values.
H A DpyarpackSparseBiCGDiag.py.in67 Bij = np.array([], dtype='float32') variable
76 …Bij = np.append(Bij, np.float32( 33.3)) # Casting value on append is MANDATORY or C++ won't get th… variable
79 …Bij = np.append(Bij, np.float32( 16.6)) # Casting value on append is MANDATORY or C++ won't get th… variable
82 for k, l, Bkl in zip(i, j, Bij):
85 B = (n, i, j, Bij) # coo format: dimension, i 1-based indices, j 1-based indices, Bij values.
H A DpyarpackSparseLU.py.in66 Bij = np.array([], dtype='float32') variable
75 …Bij = np.append(Bij, np.float32( 33.3)) # Casting value on append is MANDATORY or C++ won't get th… variable
78 …Bij = np.append(Bij, np.float32( 16.6)) # Casting value on append is MANDATORY or C++ won't get th… variable
81 for k, l, Bkl in zip(i, j, Bij):
84 B = (n, i, j, Bij) # coo format: dimension, i 1-based indices, j 1-based indices, Bij values.
/dports/biology/mothur/mothur-1.46.1/source/calculators/
H A Dstructchord.cpp24 int Bij = shared[1]->get(i); in getValues() local
28 sumBj2 += (Bij * Bij); in getValues()
39 int Bij = shared[1]->get(i); in getValues() local
41 sum += (((Aij / sumAj2) - (Bij / sumBj2)) * ((Aij / sumAj2) - (Bij / sumBj2))); in getValues()
H A Dmempearson.cpp35 int Bij = shared[1]->get(i); in getValues() local
38 if (Bij > 0) { Bij = 1; } in getValues()
40 numTerm += ((Aij - averageA) * (Bij - averageB)); in getValues()
42 denomTerm2 += ((Bij - averageB) * (Bij - averageB)); in getValues()
H A Dcanberra.cpp25 int Bij = shared[1]->get(i); in getValues() local
28 if ((Aij != 0) && (Bij != 0)) { numSharedOTUS++; } in getValues()
30 if ((Aij + Bij) != 0) { in getValues()
31 sum += ((abs(Aij - Bij)) / (float) (Aij + Bij)); in getValues()
H A Dstructpearson.cpp27 int Bij = shared[1]->get(i); in getValues() local
30 numTerm += ((Aij - averageA) * (Bij - averageB)); in getValues()
32 denomTerm2 += ((Bij - averageB) * (Bij - averageB)); in getValues()
/dports/science/InsightToolkit/ITK-5.0.1/Modules/ThirdParty/VNL/src/vxl/core/vnl/tests/
H A Dtest_sparse_lst_sqr_function.cxx42 vnl_matrix<double>& Bij) override in jac_Bij() argument
44 Bij[0][0] = -ai[1]*bj[2]*bj[2]*bj[2]; in jac_Bij()
45 Bij[0][1] = 0.0; in jac_Bij()
46 Bij[0][2] = (ai[0]*ai[0]-bj[0]*ai[1])*3.0*bj[2]*bj[2]; in jac_Bij()
47 Bij[1][0] = 0.0; in jac_Bij()
48 Bij[1][1] = -ai[0]*bj[2]*bj[2]*bj[2]; in jac_Bij()
49 Bij[1][2] = (ai[1]*ai[1]-bj[1]*ai[0])*3.0*bj[2]*bj[2]; in jac_Bij()
137 vnl_matrix<double> Aij(2,2), Bij(2,3), Cij(2,2); in test_sparse_lst_sqr_function() local
141 my_func.jac_Bij(0,0,ai,bj,c,Bij); in test_sparse_lst_sqr_function()
149 std::cout << "Bij =\n" << Bij << std::endl in test_sparse_lst_sqr_function()
[all …]
/dports/misc/vxl/vxl-3.3.2/core/vnl/tests/
H A Dtest_sparse_lst_sqr_function.cxx50 vnl_matrix<double> & Bij) override in jac_Bij() argument
52 Bij[0][0] = -ai[1] * bj[2] * bj[2] * bj[2]; in jac_Bij()
53 Bij[0][1] = 0.0; in jac_Bij()
54 Bij[0][2] = (ai[0] * ai[0] - bj[0] * ai[1]) * 3.0 * bj[2] * bj[2]; in jac_Bij()
55 Bij[1][0] = 0.0; in jac_Bij()
56 Bij[1][1] = -ai[0] * bj[2] * bj[2] * bj[2]; in jac_Bij()
57 Bij[1][2] = (ai[1] * ai[1] - bj[1] * ai[0]) * 3.0 * bj[2] * bj[2]; in jac_Bij()
157 vnl_matrix<double> Aij(2, 2), Bij(2, 3), Cij(2, 2); in test_sparse_lst_sqr_function() local
161 my_func.jac_Bij(0, 0, ai, bj, c, Bij); in test_sparse_lst_sqr_function()
168 std::cout << "Bij =\n" << Bij << std::endl << "fd Bij =\n" << fd_Bij << std::endl; in test_sparse_lst_sqr_function()
[all …]
/dports/science/apbs/apbs-pdb2pqr-apbs-1.5-102-g500c1473/apbs/externals/fetk/mc/src/bam/
H A Dmtool.c423 double Bij, Bji, *lnkD; in buildG() local
465 Bij = ( r[ii] * diag[k] * p[jj] ); in buildG()
466 if (VABS(Bij) > TOL) { in buildG()
468 lnkD[i] += Bij; in buildG()
470 mContrib(lnkU,1,&offUcnt,i,j,Bij); in buildG()
472 mContrib(lnkL,1,&offLcnt,j,i,Bij); in buildG()
492 Bij = ( r[ii] * offU[ll] * p[jj] ); in buildG()
493 if (VABS(Bij) > TOL) { in buildG()
495 lnkD[i] += Bij; in buildG()
504 Bij = ( r[ii] * a[ll] * p[jj] ); in buildG()
[all …]

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