/dports/biology/hyphy/hyphy-2.5.33/tests/hbltests/Results/ |
H A D | HIVSweden.out_MODEL_-1.nex | 43 modelMatrix[0][1]:=kappa*c*t; 45 modelMatrix[0][3]:=kappa*c*t; 78 modelMatrix[4][5]:=kappa*t; 80 modelMatrix[4][7]:=kappa*t; 87 modelMatrix[5][4]:=kappa*t; 88 modelMatrix[5][6]:=kappa*t; 97 modelMatrix[6][5]:=kappa*t; 98 modelMatrix[6][7]:=kappa*t; 105 modelMatrix[7][4]:=kappa*t; 107 modelMatrix[7][6]:=kappa*t; [all …]
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H A D | HIVSweden.out_MODEL_0.nex | 59 modelMatrix[0][1]:=kappa*c*t; 61 modelMatrix[0][3]:=kappa*c*t; 94 modelMatrix[4][5]:=kappa*t; 96 modelMatrix[4][7]:=kappa*t; 103 modelMatrix[5][4]:=kappa*t; 104 modelMatrix[5][6]:=kappa*t; 113 modelMatrix[6][5]:=kappa*t; 114 modelMatrix[6][7]:=kappa*t; 121 modelMatrix[7][4]:=kappa*t; 123 modelMatrix[7][6]:=kappa*t; [all …]
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H A D | HIVSweden.out_MODEL_1.nex | 65 modelMatrix[0][1]:=kappa*c*t; 67 modelMatrix[0][3]:=kappa*c*t; 100 modelMatrix[4][5]:=kappa*t; 102 modelMatrix[4][7]:=kappa*t; 109 modelMatrix[5][4]:=kappa*t; 110 modelMatrix[5][6]:=kappa*t; 119 modelMatrix[6][5]:=kappa*t; 120 modelMatrix[6][7]:=kappa*t; 127 modelMatrix[7][4]:=kappa*t; 129 modelMatrix[7][6]:=kappa*t; [all …]
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/dports/finance/quantlib/QuantLib-1.20/ql/pricingengines/vanilla/ |
H A D | hestonexpansionengine.cpp | 139 ((2 + kappa*t + ekt*(-2 + kappa*t))*theta + in z0() 143 pow((2 + kappa*t + ekt*(-2 + kappa*t))*theta + in z0() 146 pow((2 + kappa*t + ekt*(-2 + kappa*t))*theta + in z0() 157 … pow(rho,2)*((6 + kappa*t*(4 + kappa*t))*theta - (2 + kappa*t*(2 + kappa*t))*y))) - in z0() 163 … pow(rho,2)*((6 + kappa*t*(4 + kappa*t))*theta - (2 + kappa*t*(2 + kappa*t))*y)))) in z0() 194 4*ekt*(theta + kappa*t*theta - kappa*t*y + in z2() 195 … fastpow(rho,2)*((6 + kappa*t*(4 + kappa*t))*theta - (2 + kappa*t*(2 + kappa*t))*y)))) in z2() 236 (-2*theta - kappa*t*theta - 2*ekt*(2 + kappa*t)* in z0() 240 ((2 + kappa*t + ekt*(-2 + kappa*t))*theta + in z0() 427 ((2 + kappa*t + ekt*(-2 + kappa*t))*theta + in z1() [all …]
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/dports/math/e-antic/flint2-ae7ec89/fmpz_lll/ |
H A D | d_lll.c | 210 alpha[kappa] = kappa; 215 d_mat_entry(r, kappa, kappa) = s[kappa - 1] - tmp; 268 alpha[kappa] = kappa; 284 d_mat_entry(r, kappa, kappa) = s[kappa]; 354 d_mat_entry(r, kappa, kappa) = 547 alpha[kappa] = kappa; 554 d_mat_entry(r, kappa, kappa) = s[kappa - 1] - tmp; 610 alpha[kappa] = kappa; 626 d_mat_entry(r, kappa, kappa) = s[kappa]; 682 d_mat_entry(r, kappa, kappa) = [all …]
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H A D | mpf2_lll.c | 146 alpha[kappa] = kappa; 148 mpf_mat_entry(r, kappa, kappa - 1)); 149 mpf_sub(mpf_mat_entry(r, kappa, kappa), s + kappa - 1, tmp); 203 alpha[kappa] = kappa; 219 mpf_set(mpf_mat_entry(r, kappa, kappa), s + kappa); 286 mpf_set(mpf_mat_entry(r, kappa, kappa), 432 alpha[kappa] = kappa; 434 mpf_mat_entry(r, kappa, kappa - 1)); 435 mpf_sub(mpf_mat_entry(r, kappa, kappa), s + kappa - 1, tmp); 489 alpha[kappa] = kappa; [all …]
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H A D | babai.c | 131 _fmpz_vec_sub(B->rows[kappa], B->rows[kappa], 148 _fmpz_vec_add(B->rows[kappa], B->rows[kappa], 281 if (d_is_nan(d_mat_entry(A->appSP, kappa, kappa))) 283 COMPUTE(A->appSP, kappa, kappa, n); 286 s[zeros + 1] = d_mat_entry(A->appSP, kappa, kappa); 290 tmp = d_mat_entry(mu, kappa, k) * d_mat_entry(r, kappa, k); 579 fmpz_addmul(fmpz_mat_entry(GM, kappa, kappa), 584 fmpz_sub(fmpz_mat_entry(GM, kappa, kappa), 585 fmpz_mat_entry(GM, kappa, kappa), t); 592 fmpz_add(fmpz_mat_entry(GM, kappa, kappa), [all …]
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H A D | check_babai_heuristic.c | 142 _fmpz_vec_sub(B->rows[kappa], B->rows[kappa], in fmpz_lll_check_babai_heuristic() 159 _fmpz_vec_add(B->rows[kappa], B->rows[kappa], in fmpz_lll_check_babai_heuristic() 223 _fmpz_vec_get_mpf_vec(appB->rows[kappa], B->rows[kappa], n); in fmpz_lll_check_babai_heuristic() 237 _mpf_vec_norm2(mpf_mat_entry(A->appSP2, kappa, kappa), in fmpz_lll_check_babai_heuristic() 241 mpf_set(s + zeros + 1, mpf_mat_entry(A->appSP2, kappa, kappa)); in fmpz_lll_check_babai_heuristic() 461 fmpz_addmul(fmpz_mat_entry(GM, kappa, kappa), in fmpz_lll_check_babai_heuristic() 466 fmpz_sub(fmpz_mat_entry(GM, kappa, kappa), in fmpz_lll_check_babai_heuristic() 467 fmpz_mat_entry(GM, kappa, kappa), ztmp); in fmpz_lll_check_babai_heuristic() 474 fmpz_add(fmpz_mat_entry(GM, kappa, kappa), in fmpz_lll_check_babai_heuristic() 475 fmpz_mat_entry(GM, kappa, kappa), ztmp); in fmpz_lll_check_babai_heuristic() [all …]
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/dports/math/flint2/flint-2.8.4/fmpz_lll/ |
H A D | d_lll.c | 210 alpha[kappa] = kappa; 215 d_mat_entry(r, kappa, kappa) = s[kappa - 1] - tmp; 268 alpha[kappa] = kappa; 284 d_mat_entry(r, kappa, kappa) = s[kappa]; 354 d_mat_entry(r, kappa, kappa) = 547 alpha[kappa] = kappa; 554 d_mat_entry(r, kappa, kappa) = s[kappa - 1] - tmp; 610 alpha[kappa] = kappa; 626 d_mat_entry(r, kappa, kappa) = s[kappa]; 682 d_mat_entry(r, kappa, kappa) = [all …]
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H A D | mpf2_lll.c | 146 alpha[kappa] = kappa; 148 mpf_mat_entry(r, kappa, kappa - 1)); 149 mpf_sub(mpf_mat_entry(r, kappa, kappa), s + kappa - 1, tmp); 203 alpha[kappa] = kappa; 219 mpf_set(mpf_mat_entry(r, kappa, kappa), s + kappa); 286 mpf_set(mpf_mat_entry(r, kappa, kappa), 432 alpha[kappa] = kappa; 434 mpf_mat_entry(r, kappa, kappa - 1)); 435 mpf_sub(mpf_mat_entry(r, kappa, kappa), s + kappa - 1, tmp); 489 alpha[kappa] = kappa; [all …]
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H A D | babai.c | 131 _fmpz_vec_sub(B->rows[kappa], B->rows[kappa], 148 _fmpz_vec_add(B->rows[kappa], B->rows[kappa], 281 if (d_is_nan(d_mat_entry(A->appSP, kappa, kappa))) 283 COMPUTE(A->appSP, kappa, kappa, n); 286 s[zeros + 1] = d_mat_entry(A->appSP, kappa, kappa); 290 tmp = d_mat_entry(mu, kappa, k) * d_mat_entry(r, kappa, k); 579 fmpz_addmul(fmpz_mat_entry(GM, kappa, kappa), 584 fmpz_sub(fmpz_mat_entry(GM, kappa, kappa), 585 fmpz_mat_entry(GM, kappa, kappa), t); 592 fmpz_add(fmpz_mat_entry(GM, kappa, kappa), [all …]
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H A D | check_babai_heuristic.c | 142 _fmpz_vec_sub(B->rows[kappa], B->rows[kappa], in fmpz_lll_check_babai_heuristic() 159 _fmpz_vec_add(B->rows[kappa], B->rows[kappa], in fmpz_lll_check_babai_heuristic() 223 _fmpz_vec_get_mpf_vec(appB->rows[kappa], B->rows[kappa], n); in fmpz_lll_check_babai_heuristic() 237 _mpf_vec_norm2(mpf_mat_entry(A->appSP2, kappa, kappa), in fmpz_lll_check_babai_heuristic() 241 mpf_set(s + zeros + 1, mpf_mat_entry(A->appSP2, kappa, kappa)); in fmpz_lll_check_babai_heuristic() 461 fmpz_addmul(fmpz_mat_entry(GM, kappa, kappa), in fmpz_lll_check_babai_heuristic() 466 fmpz_sub(fmpz_mat_entry(GM, kappa, kappa), in fmpz_lll_check_babai_heuristic() 467 fmpz_mat_entry(GM, kappa, kappa), ztmp); in fmpz_lll_check_babai_heuristic() 474 fmpz_add(fmpz_mat_entry(GM, kappa, kappa), in fmpz_lll_check_babai_heuristic() 475 fmpz_mat_entry(GM, kappa, kappa), ztmp); in fmpz_lll_check_babai_heuristic() [all …]
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/dports/math/e-antic/e-antic-1.0.0-rc.13/libeantic/upstream/antic/fmpz_lll/ |
H A D | d_lll.c | 210 alpha[kappa] = kappa; 215 d_mat_entry(r, kappa, kappa) = s[kappa - 1] - tmp; 268 alpha[kappa] = kappa; 284 d_mat_entry(r, kappa, kappa) = s[kappa]; 354 d_mat_entry(r, kappa, kappa) = 547 alpha[kappa] = kappa; 554 d_mat_entry(r, kappa, kappa) = s[kappa - 1] - tmp; 610 alpha[kappa] = kappa; 626 d_mat_entry(r, kappa, kappa) = s[kappa]; 682 d_mat_entry(r, kappa, kappa) = [all …]
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H A D | mpf2_lll.c | 146 alpha[kappa] = kappa; 148 mpf_mat_entry(r, kappa, kappa - 1)); 149 mpf_sub(mpf_mat_entry(r, kappa, kappa), s + kappa - 1, tmp); 203 alpha[kappa] = kappa; 219 mpf_set(mpf_mat_entry(r, kappa, kappa), s + kappa); 286 mpf_set(mpf_mat_entry(r, kappa, kappa), 432 alpha[kappa] = kappa; 434 mpf_mat_entry(r, kappa, kappa - 1)); 435 mpf_sub(mpf_mat_entry(r, kappa, kappa), s + kappa - 1, tmp); 489 alpha[kappa] = kappa; [all …]
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H A D | babai.c | 131 _fmpz_vec_sub(B->rows[kappa], B->rows[kappa], 148 _fmpz_vec_add(B->rows[kappa], B->rows[kappa], 281 if (d_is_nan(d_mat_entry(A->appSP, kappa, kappa))) 283 COMPUTE(A->appSP, kappa, kappa, n); 286 s[zeros + 1] = d_mat_entry(A->appSP, kappa, kappa); 290 tmp = d_mat_entry(mu, kappa, k) * d_mat_entry(r, kappa, k); 579 fmpz_addmul(fmpz_mat_entry(GM, kappa, kappa), 584 fmpz_sub(fmpz_mat_entry(GM, kappa, kappa), 585 fmpz_mat_entry(GM, kappa, kappa), t); 592 fmpz_add(fmpz_mat_entry(GM, kappa, kappa), [all …]
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H A D | check_babai_heuristic.c | 142 _fmpz_vec_sub(B->rows[kappa], B->rows[kappa], in fmpz_lll_check_babai_heuristic() 159 _fmpz_vec_add(B->rows[kappa], B->rows[kappa], in fmpz_lll_check_babai_heuristic() 223 _fmpz_vec_get_mpf_vec(appB->rows[kappa], B->rows[kappa], n); in fmpz_lll_check_babai_heuristic() 237 _mpf_vec_norm2(mpf_mat_entry(A->appSP2, kappa, kappa), in fmpz_lll_check_babai_heuristic() 241 mpf_set(s + zeros + 1, mpf_mat_entry(A->appSP2, kappa, kappa)); in fmpz_lll_check_babai_heuristic() 461 fmpz_addmul(fmpz_mat_entry(GM, kappa, kappa), in fmpz_lll_check_babai_heuristic() 466 fmpz_sub(fmpz_mat_entry(GM, kappa, kappa), in fmpz_lll_check_babai_heuristic() 467 fmpz_mat_entry(GM, kappa, kappa), ztmp); in fmpz_lll_check_babai_heuristic() 474 fmpz_add(fmpz_mat_entry(GM, kappa, kappa), in fmpz_lll_check_babai_heuristic() 475 fmpz_mat_entry(GM, kappa, kappa), ztmp); in fmpz_lll_check_babai_heuristic() [all …]
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/dports/math/cadabra2/cadabra2-2.3.6.8/examples/ |
H A D | vacuum_einstein_first_order.cnb | 56 …* g^{\\lambda\\kappa} ( \\nabla_{\\nu}{ g_{\\kappa\\mu} } \n + \\nabla_{\\m… 80 …kappa}-\\epsilon h^{\\lambda \\kappa}\\right) \\left(\\nabla_{\\nu}\\left(g_{\\kappa \\mu}+\\epsil… 107 …kappa} \\nabla_{\\nu}{g_{\\kappa \\mu}}+\\frac{1}{2}g^{\\lambda \\kappa} \\nabla_{\\nu}{\\epsilon}… 134 …kappa} \\nabla_{\\nu}{g_{\\kappa \\mu}}+\\frac{1}{2}g^{\\lambda \\kappa} \\epsilon \\nabla_{\\nu}{… 161 …kappa} \\epsilon \\nabla_{\\nu}{h_{\\kappa \\mu}}+\\frac{1}{2}g^{\\lambda \\kappa} \\epsilon \\nab… 188 …kappa} \\epsilon \\nabla_{\\nu}{h_{\\kappa \\mu}}+\\frac{1}{2}g^{\\lambda \\kappa} \\epsilon \\nab… 201 …kappa} \\nabla_{\\nu}{h_{\\kappa \\mu}}+\\frac{1}{2}g^{\\lambda \\kappa} \\nabla_{\\mu}{h_{\\kappa… 214 …kappa} \\left(\\frac{1}{2}\\nabla_{\\nu}{h_{\\kappa \\mu}}+\\frac{1}{2}\\nabla_{\\mu}{h_{\\kappa \… 322 …kappa} \\nabla_{\\nu}{h_{\\kappa \\rho}} - \\frac{1}{2}\\epsilon \\nabla_{\\mu}{g^{\\rho \\kappa}}… 335 …kappa}} \\nabla_{\\nu}{h_{\\kappa \\rho}} - \\frac{1}{2}\\epsilon g^{\\rho \\kappa} \\nabla_{\\mu}… [all …]
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/dports/science/py-scipy/scipy-1.7.1/doc/source/tutorial/stats/ |
H A D | continuous_laplace_asymmetric.rst | 7 has a single shape parameter :math:`\kappa>0` that species the 8 distribution's asymmetry. The special case :math:`\kappa=1` yields the 18 F(x, \kappa) & = & 1-\frac{\kappa^{-1}}{\kappa+\kappa^{-1}}\exp(-x\kappa),\quad x\ge0; \\ 19 & = & \frac{\kappa}{\kappa+\kappa^{-1}}\exp(x/\kappa),\quad x<0. \\ 20 f(x, \kappa) & = & \frac{1}{\kappa+\kappa^{-1}}\exp(-x\kappa),\quad x\ge0; \\ 21 & = & \frac{1}{\kappa+\kappa^{-1}}\exp(x/\kappa),\quad x<0. 28 \mu & = & \kappa^{-1}-\kappa\\ 29 \mu_2 & = & \kappa^{-2}+\kappa^2\\ 30 \gamma_1 & = & \frac{2(1-\kappa^6)}{(1+\kappa^4)^{3/2}}\\ 31 \gamma_2 & = & \frac{6(1+\kappa^8)}{(1+\kappa^4)^2}
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/dports/math/pari/pari-2.13.3/src/basemath/ |
H A D | lll.c | 352 affir(gmael(G,kappa,kappa), gel(s,zeros+1)); in Babai() 448 cmprr(mulrr(gmael(r,kappa-1,kappa-1), delta), gel(s,kappa-1)) <= 0) in fplll() 450 alpha[kappa] = kappa; in fplll() 451 tmp = mulrr(gmael(mu,kappa,kappa-1), gmael(r,kappa,kappa-1)); in fplll() 452 affrr(subrr(gel(s,kappa-1), tmp), gmael(r,kappa,kappa)); in fplll() 470 if (kappa < alpha[i]) alpha[i] = kappa; in fplll() 471 alpha[kappa] = kappa; in fplll() 476 affrr(gel(s,kappa), gmael(r,kappa,kappa)); in fplll() 491 gmael(G,kappa,kappa) = gel(SPtmp,kappa2); in fplll() 495 if (kappa == zeros+1 && !signe(gmael(G,kappa,kappa))) in fplll() [all …]
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/dports/japanese/font-kappa20/Kappa20-0.396/ |
H A D | Makefile | 136 …echo -kappa-mincho-bold-r-normal--20-190-75-75-c-200-jisx0208.1983-0 -kappa-mincho-bold-r-normal--… 137 …echo -kappa-minchou-bold-r-normal--20-190-75-75-c-200-jisx0208.1983-0 -kappa-mincho-bold-r-normal-… 138 …echo -kappa-minchou-bold-r-normal--20-190-75-75-c-200-jisx0208.1990-0 -kappa-mincho-bold-r-normal-… 139 …echo -kappa-fixed-bold-r-normal--20-190-75-75-c-200-jisx0208.1983-0 -kappa-mincho-bold-r-normal--2… 140 …echo -kappa-fixed-bold-r-normal--20-190-75-75-c-200-jisx0208.1990-0 -kappa-mincho-bold-r-normal--2… 142 …echo -kappa-mincho-medium-r-normal--20-190-75-75-c-200-jisx0208.1983-0 -kappa-mincho-medium-r-norm… 145 …echo -kappa-fixed-medium-r-normal--20-190-75-75-c-200-jisx0208.1983-0 -kappa-mincho-medium-r-norma… 146 …echo -kappa-fixed-medium-r-normal--20-190-75-75-c-200-jisx0208.1990-0 -kappa-mincho-medium-r-norma… 156 …echo -kappa-mincho-bold-r-normal--20-190-75-75-vc-200-jisx0208.1983-0 -kappa-mincho-bold-r-normal-… 159 …echo -kappa-fixed-bold-r-normal--20-190-75-75-vc-200-jisx0208.1983-0 -kappa-mincho-bold-r-normal--… [all …]
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/dports/math/py-chaospy/chaospy-4.3.3/chaospy/distributions/collection/ |
H A D | burr.py | 11 def __init__(self, alpha=1., kappa=1.): argument 12 super(burr, self).__init__(dict(alpha=alpha, kappa=kappa)) 14 def _pdf(self, x, alpha, kappa): argument 21 def _cdf(self, x, alpha, kappa): argument 27 def _ppf(self, q, alpha, kappa): argument 30 def _mom(self, k, alpha, kappa): argument 31 return kappa*special.beta(1-k*1./alpha, kappa+k*1./alpha) 33 def _lower(self, alpha, kappa): argument 35 del kappa 38 def _upper(self, alpha, kappa): argument [all …]
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/dports/math/fplll/fplll-5.4.1/fplll/ |
H A D | lll.cpp | 103 if (!babai(kappa, kappa, size_reduction_start)) in lll() 110 m.get_gram(lovasz_tests[0], kappa, kappa); in lll() 116 ftmp1.mul(m.get_r_exp(kappa - 1, kappa - 1), swap_threshold); in lll() 122 if (ftmp1 > lovasz_tests[siegel ? kappa : kappa - 1]) in lll() 127 for (kappa--; kappa > kappa_min; kappa--) in lll() 129 ftmp1.mul(m.get_r_exp(kappa - 1, kappa - 1), swap_threshold); in lll() 134 if (ftmp1 < lovasz_tests[siegel ? kappa : kappa - 1]) in lll() 153 m.set_r(kappa, kappa, lovasz_tests[kappa]); in lll() 154 kappa++; in lll() 201 m.row_op_begin(kappa, kappa + 1); in babai() [all …]
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/dports/cad/calculix-ccx/CalculiX/ccx_2.18/src/ |
H A D | pk_y0_yg.f | 19 subroutine pk_y0_yg(p2p1,beta,kappa,y0,yg) argument 23 real*8 p2p1,beta,kappa,y0,yg,pcrit local 29 pcrit=(2.d0/(kappa+1.d0))**(kappa/(kappa-1.d0)) 32 y0=1d0-(0.41d0+0.35d0*beta**4.d0)/kappa*(1.d0-p2p1) 34 y0=1d0-(0.41d0+0.35d0*beta**4.d0)/kappa*(1.d0-0.63d0) 46 yg=p2p1**(1.d0/kappa)*dsqrt(kappa/(kappa-1.d0) 47 & *(1.d0-p2p1**((kappa-1.d0)/kappa)))/dsqrt(1.d0-p2p1) 51 yg=(2.d0/(kappa+1.d0))**(1.d0/(kappa-1.d0)) 52 & *dsqrt(kappa/(kappa+1.d0))/dsqrt(1.d0-p2p1)
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H A D | calc_residual_tee.f | 42 &kappa, local 88 Q_crit = dsqrt(kappa/R)* 89 & (1+0.5d0*(kappa-1))**(-0.5d0*(kappa+1)/(kappa-1)) 90 pspt_crit = (2/(kappa+1)) ** (kappa/(kappa-1)) 116 pspt0 = (Ts0/Tt1)**(kappa/(kappa-1)) 119 & dsqrt(Tt1),kappa,R) 125 pspt1 = (Ts1/Tt1)**(kappa/(kappa-1)) 128 & dsqrt(Tt1),kappa,R) 169 call machpi(M1,pspt0,kappa,R) 172 pspt2 = (Ts2/Tt2)**(kappa/(kappa-1)) [all …]
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/dports/devel/py-qutip/qutip-4.6.2/qutip/tests/ |
H A D | test_brmesolve_td.py | 83 return "{kappa} * (w >= 0)".format(kappa=kappa) 87 n_th=n_th, kappa=kappa, scale=scale) 177 kappa = 0.2 231 spectrum = "{kappa} * (w >= 0)".format(kappa=kappa) 232 return ([np.sqrt(kappa)*a, np.sqrt(kappa)*a], 240 spectrum = "{kappa} * (w >= 0)".format(kappa=kappa) 241 return ([np.sqrt(kappa)*a, np.sqrt(4*kappa)*a], 249 spectrum = "{kappa} * (w >= 0)".format(kappa=kappa) 251 return ([np.sqrt(kappa)*a, np.sqrt(kappa)*a, np.sqrt(kappa)*a], 259 spectrum = "{kappa} * (w >= 0)".format(kappa=kappa) [all …]
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