/dports/biology/hyphy/hyphy-2.5.33/tests/hbltests/SpecializedOptimizations/ |
H A D | MEME.bf | 1035 meme.bsrel_Q_component_1[0][1]:=meme.bsrel.theta_AC*beta_1*0.1375837838367331; 1037 meme.bsrel_Q_component_1[0][3]:=meme.bsrel.theta_AT*beta_1*0.4695099501630318; 1038 meme.bsrel_Q_component_1[0][4]:=meme.bsrel.theta_AC*beta_1*0.2229555385163521; 1039 meme.bsrel_Q_component_1[0][8]:=meme.bsrel.theta_AG*beta_1*0.168457888879551; 1043 meme.bsrel_Q_component_1[1][0]:=meme.bsrel.theta_AC*beta_1*0.2747810914129515; 1044 meme.bsrel_Q_component_1[1][2]:=meme.bsrel.theta_CG*beta_1*0.1181251745872836; 1046 meme.bsrel_Q_component_1[1][5]:=meme.bsrel.theta_AC*beta_1*0.2229555385163521; 1047 meme.bsrel_Q_component_1[1][9]:=meme.bsrel.theta_AG*beta_1*0.168457888879551; 1053 meme.bsrel_Q_component_1[2][1]:=meme.bsrel.theta_CG*beta_1*0.1375837838367331; 1073 meme.bsrel_Q_component_1[4][8]:=meme.bsrel.theta_CG*beta_1*0.168457888879551; [all …]
|
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/neural_network/ |
H A D | _stochastic_optimizers.py | 246 self, params, learning_rate_init=0.001, beta_1=0.9, beta_2=0.999, epsilon=1e-8 argument 250 self.beta_1 = beta_1 273 self.beta_1 * m + (1 - self.beta_1) * grad 283 / (1 - self.beta_1 ** self.t)
|
H A D | _multilayer_perceptron.py | 78 beta_1, argument 103 self.beta_1 = beta_1 480 if self.beta_1 < 0 or self.beta_1 >= 1: 481 raise ValueError("beta_1 must be >= 0 and < 1, got %s" % self.beta_1) 580 self.beta_1, 1066 beta_1=0.9, argument 1092 beta_1=beta_1, 1536 beta_1=0.9, argument 1562 beta_1=beta_1,
|
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/neural_network/tests/ |
H A D | test_stochastic_optimizers.py | 92 for beta_1 in np.arange(0.9, 1.0, 0.05): 94 optimizer = AdamOptimizer(params, lr, beta_1, beta_2, epsilon) 103 ms = [beta_1 * m + (1 - beta_1) * grad for m, grad in zip(ms, grads)] 105 learning_rate = lr * np.sqrt(1 - beta_2 ** t) / (1 - beta_1 ** t)
|
/dports/misc/py-gluonnlp/gluon-nlp-0.10.0/scripts/parsing/common/ |
H A D | config.py | 32 beta_1=.9, beta_2=.9, epsilon=1e-12, argument 92 self.beta_1 = beta_1
|
/dports/devel/bullet/bullet3-3.21/src/LinearMath/ |
H A D | btImplicitQRSVD.h | 768 btScalar beta_1 = B[0][1]; variable 772 btScalar gamma_1 = alpha_1 * beta_1; 774 …btScalar val = alpha_1 * alpha_1 + alpha_2 * alpha_2 + alpha_3 * alpha_3 + beta_1 * beta_1 + beta_… 784 while (btFabs(beta_2) > tol && btFabs(beta_1) > tol 788 …mu = wilkinsonShift(alpha_2 * alpha_2 + beta_1 * beta_1, gamma_2, alpha_3 * alpha_3 + beta_2 * bet… 797 beta_1 = B[0][1]; 801 gamma_1 = alpha_1 * beta_1; 825 else if (btFabs(beta_1) <= tol) {
|
/dports/graphics/blender/blender-2.91.0/extern/bullet2/src/LinearMath/ |
H A D | btImplicitQRSVD.h | 768 btScalar beta_1 = B[0][1]; variable 772 btScalar gamma_1 = alpha_1 * beta_1; 774 …btScalar val = alpha_1 * alpha_1 + alpha_2 * alpha_2 + alpha_3 * alpha_3 + beta_1 * beta_1 + beta_… 784 while (btFabs(beta_2) > tol && btFabs(beta_1) > tol 788 …mu = wilkinsonShift(alpha_2 * alpha_2 + beta_1 * beta_1, gamma_2, alpha_3 * alpha_3 + beta_2 * bet… 797 beta_1 = B[0][1]; 801 gamma_1 = alpha_1 * beta_1; 825 else if (btFabs(beta_1) <= tol) {
|
/dports/devel/godot/godot-3.2.3-stable/thirdparty/bullet/LinearMath/ |
H A D | btImplicitQRSVD.h | 768 btScalar beta_1 = B[0][1]; variable 772 btScalar gamma_1 = alpha_1 * beta_1; 774 …btScalar val = alpha_1 * alpha_1 + alpha_2 * alpha_2 + alpha_3 * alpha_3 + beta_1 * beta_1 + beta_… 784 while (btFabs(beta_2) > tol && btFabs(beta_1) > tol 788 …mu = wilkinsonShift(alpha_2 * alpha_2 + beta_1 * beta_1, gamma_2, alpha_3 * alpha_3 + beta_2 * bet… 797 beta_1 = B[0][1]; 801 gamma_1 = alpha_1 * beta_1; 825 else if (btFabs(beta_1) <= tol) {
|
/dports/devel/godot-tools/godot-3.2.3-stable/thirdparty/bullet/LinearMath/ |
H A D | btImplicitQRSVD.h | 768 btScalar beta_1 = B[0][1]; variable 772 btScalar gamma_1 = alpha_1 * beta_1; 774 …btScalar val = alpha_1 * alpha_1 + alpha_2 * alpha_2 + alpha_3 * alpha_3 + beta_1 * beta_1 + beta_… 784 while (btFabs(beta_2) > tol && btFabs(beta_1) > tol 788 …mu = wilkinsonShift(alpha_2 * alpha_2 + beta_1 * beta_1, gamma_2, alpha_3 * alpha_3 + beta_2 * bet… 797 beta_1 = B[0][1]; 801 gamma_1 = alpha_1 * beta_1; 825 else if (btFabs(beta_1) <= tol) {
|
/dports/devel/py-bullet3/bullet3-3.21/src/LinearMath/ |
H A D | btImplicitQRSVD.h | 768 btScalar beta_1 = B[0][1]; variable 772 btScalar gamma_1 = alpha_1 * beta_1; 774 …btScalar val = alpha_1 * alpha_1 + alpha_2 * alpha_2 + alpha_3 * alpha_3 + beta_1 * beta_1 + beta_… 784 while (btFabs(beta_2) > tol && btFabs(beta_1) > tol 788 …mu = wilkinsonShift(alpha_2 * alpha_2 + beta_1 * beta_1, gamma_2, alpha_3 * alpha_3 + beta_2 * bet… 797 beta_1 = B[0][1]; 801 gamma_1 = alpha_1 * beta_1; 825 else if (btFabs(beta_1) <= tol) {
|
/dports/math/py-pymc3/pymc-3.11.4/pymc3/tests/ |
H A D | test_distributions_timeseries.py | 113 beta_1 = 0.5 118 vol[i + 1] = np.sqrt(omega + beta_1 * vol[i] ** 2 + alpha_1 * data[i] ** 2) 125 beta_1=beta_1,
|
/dports/math/py-pymc3/pymc-3.11.4/pymc3/distributions/ |
H A D | timeseries.py | 323 def __init__(self, omega, alpha_1, beta_1, initial_vol, *args, **kwargs): 328 self.beta_1 = beta_1 = tt.as_tensor_variable(beta_1) 342 non_sequences=[self.omega, self.alpha_1, self.beta_1],
|
/dports/science/dynare/dynare-4.6.4/dynare++/doc/ |
H A D | sylvester.tex | 50 For any $n\times n$ matrix $A$ and $\beta_1\beta_2>0$, if there is 53 \begin{pmatrix}\alpha&\beta_1\cr-\beta_2&\alpha\end{pmatrix} 67 \begin{pmatrix}\alpha&-\beta_1\cr\beta_2&\alpha\end{pmatrix} 73 \begin{pmatrix} \alpha&\beta_1\cr-\beta_2&\alpha\end{pmatrix} 74 \begin{pmatrix} \alpha&-\beta_1\cr\beta_2&\alpha\end{pmatrix} 76 \begin{pmatrix} \alpha&-\beta_1\cr\beta_2&\alpha\end{pmatrix} 77 \begin{pmatrix} \alpha&\beta_1\cr-\beta_2&\alpha\end{pmatrix} 83 \begin{pmatrix}\alpha&-\beta_1\cr\beta_2&\alpha\end{pmatrix} 87 $$\begin{pmatrix} \alpha&-\beta_1\cr\beta_2&\alpha\end{pmatrix}$$ 252 &= d_k - \frac{1}{\alpha^2+\beta_1\beta_2} [all …]
|
/dports/misc/opennn/opennn-5.0.5/opennn/ |
H A D | adaptive_moment_estimation.cpp | 56 return beta_1; in get_beta_1() 162 beta_1= new_beta_1; in set_beta_1() 622 labels_values(row_index,1) = std::to_string(beta_1); in to_string_matrix() 988 (1 - pow(beta_1, static_cast<type>(optimization_data.iteration))); in update_iteration() 991 = optimization_data.gradient_exponential_decay*beta_1 in update_iteration() 992 + back_propagation.gradient*(1 - beta_1); in update_iteration()
|
/dports/devel/git-svn/git-2.34.1/t/ |
H A D | t5510-fetch.sh | 1163 test_commit -C "$SERVER" beta_1 && 1177 git -C "$SERVER" tag -d alpha_1 alpha_2 beta_1 beta_2 1184 BETA_1=$(git -C client rev-parse beta_1) &&
|
/dports/devel/git-p4/git-2.34.1/t/ |
H A D | t5510-fetch.sh | 1163 test_commit -C "$SERVER" beta_1 && 1177 git -C "$SERVER" tag -d alpha_1 alpha_2 beta_1 beta_2 1184 BETA_1=$(git -C client rev-parse beta_1) &&
|
/dports/devel/git-gui/git-2.34.1/t/ |
H A D | t5510-fetch.sh | 1163 test_commit -C "$SERVER" beta_1 && 1177 git -C "$SERVER" tag -d alpha_1 alpha_2 beta_1 beta_2 1184 BETA_1=$(git -C client rev-parse beta_1) &&
|
/dports/devel/git/git-2.34.1/t/ |
H A D | t5510-fetch.sh | 1163 test_commit -C "$SERVER" beta_1 && 1177 git -C "$SERVER" tag -d alpha_1 alpha_2 beta_1 beta_2 1184 BETA_1=$(git -C client rev-parse beta_1) &&
|
/dports/devel/git-cvs/git-2.34.1/t/ |
H A D | t5510-fetch.sh | 1163 test_commit -C "$SERVER" beta_1 && 1177 git -C "$SERVER" tag -d alpha_1 alpha_2 beta_1 beta_2 1184 BETA_1=$(git -C client rev-parse beta_1) &&
|
/dports/devel/cgit/cgit-1.2.3/git/t/ |
H A D | t5510-fetch.sh | 991 test_commit -C "$SERVER" beta_1 && 1005 git -C "$SERVER" tag -d alpha_1 alpha_2 beta_1 beta_2 1012 BETA_1=$(git -C client rev-parse beta_1) &&
|
/dports/science/hypre/hypre-2.23.0/src/distributed_ls/Euclid/ |
H A D | krylov_dh.c | 27 beta_1, in bicgstab_euclid() local 70 beta_1 = (rho_1/rho_2)*(alpha_1/widget_1); in bicgstab_euclid() 74 ScaleVec(m, beta_1, p); CHECK_V_ERROR; in bicgstab_euclid()
|
/dports/misc/py-gluonnlp/gluon-nlp-0.10.0/scripts/parsing/parser/ |
H A D | dep_parser.py | 51 beta_1=.9, beta_2=.9, epsilon=1e-12, argument 133 beta_1, beta_2, epsilon, num_buckets_train, num_buckets_valid, 153 optimizer = mx.optimizer.Adam(learning_rate, beta_1, beta_2, epsilon,
|
/dports/misc/vxl/vxl-3.3.2/core/vgl/ |
H A D | vgl_affine_coordinates.hxx | 110 T beta_1 = (dv01v01*dv21v11-dv21v01*dv01v11)/det1; in vgl_affine_coordinates_3d() local 126 vgl_vector_2d<T> V2pV2 = (alpha_2-alpha_1)*v02 + (beta_2-beta_1)*v12; in vgl_affine_coordinates_3d() 132 s2 = (beta_2-beta_1); in vgl_affine_coordinates_3d() 169 T beta_p = (beta_p1-gamma_p*beta_1); in vgl_affine_coordinates_3d()
|
/dports/graphics/proj/proj-7.2.1/src/projections/ |
H A D | chamb.cpp | 20 double beta_0, beta_1, beta_2; member 86 a = Q->beta_1 - a; in chamb_s_forward() 130 Q->beta_1 = lc(P->ctx,Q->c[0].v.r, Q->c[1].v.r, Q->c[2].v.r); in PROJECTION()
|
/dports/math/vtk8/VTK-8.2.0/ThirdParty/libproj/vtklibproj/src/ |
H A D | PJ_chamb.c | 14 double beta_0, beta_1, beta_2; member 79 a = Q->beta_1 - a; in s_forward() 137 Q->beta_1 = lc(P->ctx,Q->c[0].v.r, Q->c[1].v.r, Q->c[2].v.r); in PROJECTION()
|