Home
last modified time | relevance | path

Searched refs:eta_ (Results 1 – 25 of 163) sorted by relevance

1234567

/dports/math/scilab/scilab-6.1.1/scilab/modules/differential_equations/demos/n_pendulum/Maple/
H A Dsysteme.tex848 _{3}})\,m_{4}\,r_{1}\,\sin({\theta_{1}})\,{{\eta_{1}}}^2
910 _{3}})\,m_{4}\,r_{4}\,\sin({\theta_{4}})\,{{\eta_{4}}}^2
926 \,m_{10}\,r_{10}\,\sin({\theta_{10}})\,{{\eta_{10}}}^2
1141 \,m_{10}\,r_{10}\,\sin({\theta_{10}})\,{{\eta_{10}}}^2
1221 {\theta_{9}})\,r_{7}\,\sin({\theta_{7}})\,{{\eta_{7}}}^2
1306 _{4}})\,m_{9}\,r_{8}\,\cos({\theta_{8}})\,{{\eta_{8}}}^2
1676 \theta_{2}})\,r_{1}\,\cos({\theta_{1}})\,{{\eta_{1}}}^2
2188 \sin({\theta_{2}})\,{{\eta_{2}}}^2 \end{eqnarray*}
2227 5}})\,m_{6}\,r_{3}\,\cos({\theta_{3}})\,{{\eta_{3}}}^2
2326 5}})\,m_{8}\,r_{3}\,\cos({\theta_{3}})\,{{\eta_{3}}}^2
[all …]
/dports/math/scilab/scilab-6.1.1/scilab/modules/differential_equations/demos/wheel/Maple/
H A Dsysteme.tex83 r^2\,m\,{\dot{\eta}_{2}} + r^2\,\sin(\phi)\,m\,{\eta_{1}}\,{\eta_{3}}
86 \eta_{1}}\,{\eta_{3}} + J_{3}\,\sin(\phi)\,{{\eta_{1}}}^2\,\cos(\phi)
88 \begin{eqnarray*} && -2\,r^2\,m\,\sin(\phi)\,{\eta_{1}}\,{\eta_{2}} +
90 }\,{\dot{\eta}_{3}} - J_{3}\,\sin(\phi)\,{\eta_{2}}\,{\eta_{1}}
100 )\,{\eta_{2}}\,{\eta_{3}} \end{eqnarray*}
111 $$ \left( \begin{array}{c} -{\eta_{2}}\left(r^2\,m\,{\eta_{1}}\,\sin(2
112 \,\phi)+J_{3}\,\sin(\phi)\,{\eta_{3}}-J_{1}\,{\eta_{1}}\,\sin(2\,\phi)
113 +J_{3}\,{\eta_{1}}\,\sin(2\,\phi)\right) \cr \frac{r^2\,m\,{{\eta_{1}}
115 r^2\,\sin(\phi)\,m\,{\eta_{1}}\,{\eta_{3}}+r\,\cos(\phi)\,m\,g+J_{3}\,
116 \sin(\phi)\,{\eta_{1}}\,{\eta_{3}}+\frac{J_{3}\,{{\eta_{1}}}^2\,\sin(2
[all …]
/dports/finance/quantlib/QuantLib-1.20/ql/processes/
H A Dg2process.cpp58 Real sigma2 = eta_; in diffusion()
85 Real H = (rho_*sigma_*eta_)/(a_+b_)*(1-expa*expb); in stdDeviation()
124 return eta_; in eta()
159 Real sigma2 = eta_; in diffusion()
202 - (rho_*sigma_*eta_/b_) * (1-expbtT); in xForwardDrift()
209 return -(eta_*eta_/b_) * (1-expbtT) in yForwardDrift()
210 - (rho_*sigma_*eta_/a_) * (1-expatT); in yForwardDrift()
219 M += -(rho_*sigma_*eta_)/(b_*(a_+b_)) in Mx_T()
226 M = ( (eta_*eta_)/(b_*b_) + (rho_*sigma_*eta_)/(a_*b_) ) in My_T()
228 M += -(eta_*eta_)/(2*b_*b_) * in My_T()
[all …]
/dports/math/cadabra2/cadabra2-2.3.6.8/examples/
H A Dpoincare_algebra.cnb21 …,\\sigma,\\lambda,\\kappa,\\alpha,\\beta,\\gamma,\\xi}::Integer(0..3).\n\\eta_{\\mu\\nu}::Kronecke…
69 …eta_{\\mu \\rho} P_{\\nu}-\\eta_{\\nu \\rho} P_{\\mu}, \\linebreak[0] {}\\left[J_{\\mu \\nu}, J_{\…
72 …eta_{\\mu\\rho} P_{\\nu} - \\eta_{\\nu\\rho} P_{\\mu},\n \\commutator{J_{\\mu\\nu}}{J_…
122 …th*}{}\\left(\\eta_{\\mu \\rho} P_{\\nu}-\\eta_{\\nu \\rho} P_{\\mu}\\right) P_{\\rho}+P_{\\rho} \…
227 …eta_{\\beta \\mu} P_{\\nu}-\\eta_{\\beta \\nu} P_{\\mu}\\right) J_{\\rho \\sigma} P_{\\alpha} J_{\…
/dports/finance/quantlib/QuantLib-1.20/ql/methods/finitedifferences/meshers/
H A Dexponentialjump1dmesher.cpp35 beta_(beta), jumpIntensity_(jumpIntensity), eta_(eta) in ExponentialJump1dMesher()
63 *( incompleteGammaFunction(a, x*std::exp(beta_*t)*eta_) in jumpSizeDensity()
64 -incompleteGammaFunction(a, x*eta_)) in jumpSizeDensity()
65 *std::pow(eta_, jumpIntensity_/beta_) in jumpSizeDensity()
73 return std::exp(-x*eta_)*std::pow(x, -a) * std::pow(eta_, 1.0-a) in jumpSizeDensity()
104 xmin/eta_, std::max(x, xmin/eta_)); in jumpSizeDistribution()
/dports/math/openturns/openturns-1.18/lib/src/Base/Stat/
H A DFractionalBrownianMotionModel.cxx38 , eta_(0) in FractionalBrownianMotionModel()
148 asymmetry = eta_(i, j) * (Hij - 1.0) * (sPowHij - tPowHij + stPowHij); in operator ()()
213 eta_ = eta; in setExponentEtaRho()
218 eta_(j, i) = -eta_(i, j); in setExponentEtaRho()
219 eta_(i, i) = 0.0; in setExponentEtaRho()
234 return eta_; in getEta()
275 parameter.add(eta_(i, j)); in getFullParameter()
298 << ", eta=" << eta_ in __repr__()
313 oss << ", eta=\n" << eta_ in __str__()
325 adv.saveAttribute("eta_", eta_); in save()
[all …]
/dports/finance/quantlib/QuantLib-1.20/ql/models/shortrate/twofactormodels/
H A Dg2.cpp33 eta_(arguments_[3]), rho_(arguments_[4]) { in G2()
38 eta_ = ConstantParameter(eta, PositiveConstraint()); in G2()
116 : a_(a), sigma_(sigma), b_(b), eta_(eta), rho_(rho), w_(w), in SwaptionPricingFunction()
122 sigmay_ = eta_*std::sqrt(0.5*(1.0-std::exp(-2.0*b_*T_))/b_); in SwaptionPricingFunction()
123 rhoxy_ = rho_*eta_*sigma_*(1.0 - std::exp(-(a_+b_)*T_))/ in SwaptionPricingFunction()
127 mux_ = -((temp+rho_*sigma_*eta_/(a_*b_))*(1.0 - std::exp(-a*T_)) - in SwaptionPricingFunction()
129 rho_*sigma_*eta_/(b_*(a_+b_))* in SwaptionPricingFunction()
132 temp = eta_*eta_/(b_*b_); in SwaptionPricingFunction()
133 muy_ = -((temp+rho_*sigma_*eta_/(a_*b_))*(1.0 - std::exp(-b*T_)) - in SwaptionPricingFunction()
135 rho_*sigma_*eta_/(a_*(a_+b_))* in SwaptionPricingFunction()
[all …]
H A Dg2.hpp93 Real eta() const { return eta_(0.0); } in eta()
111 Parameter& eta_; member in QuantLib::G2
166 a_(a), sigma_(sigma), b_(b), eta_(eta), rho_(rho) {} in Impl()
173 Real temp2 = eta_*(1.0-std::exp(-b_*t))/b_; in value()
181 Real a_, sigma_, b_, eta_, rho_; member in QuantLib::G2::FittingParameter::Impl
/dports/science/nest/nest-simulator-3.1/models/
H A Dvogels_sprekeler_synapse.h170 double new_w = std::abs( w ) + ( eta_ * kplus ); in facilitate_()
177 double new_w = std::abs( w ) - ( alpha_ * eta_ ); in depress_()
185 double eta_; variable
261 , eta_( 0.001 ) in vogels_sprekeler_synapse()
276 def< double >( d, names::eta, eta_ ); in get_status()
290 updateValue< double >( d, names::eta, eta_ ); in set_status()
H A Durbanczik_synapse.h192 double eta_; variable
249 weight_ = init_weight_ + weight_ * 15.0 * C_m * tau_s * eta_ / ( g_L * ( tau_L - tau_s ) ); in send()
281 , eta_( 0.07 ) in urbanczik_synapse()
299 def< double >( d, names::eta, eta_ ); in get_status()
312 updateValue< double >( d, names::eta, eta_ ); in set_status()
/dports/math/openturns/openturns-1.18/lib/src/Base/Diff/
H A DBlendedStep.cxx59 << " eta=" << eta_; in __repr__()
77 result[i] *= ( std::abs( inP[i] ) + eta_[i] ); in operator ()()
104 eta_ = eta; in setEta()
109 return eta_; in getEta()
/dports/science/nest/nest-simulator-3.1/nestkernel/
H A Dgrowth_curve.cpp85 , eta_( 0.1 ) in GrowthCurveGaussian()
95 def< double >( d, names::eta, eta_ ); in get()
102 updateValue< double >( d, names::eta, eta_ ); in set()
116 const double zeta = ( eta_ - eps_ ) / ( 2.0 * sqrt( log( 2.0 ) ) ); in update()
117 const double xi = ( eta_ + eps_ ) / 2.0; in update()
/dports/science/qbox/qbox-public-rel1_73_3/src/
H A DMDIonicStepper.h62 double eta_; variable
74 eta_ = 0.0; in MDIonicStepper()
84 double eta(void) const { return eta_; } in eta()
/dports/math/openturns/openturns-1.18/lib/src/Base/Optim/
H A DTNC.cxx46 , eta_(ResourceMap::GetAsScalar("TNC-DefaultEta")) in TNC()
61 , eta_(ResourceMap::GetAsScalar("TNC-DefaultEta")) in TNC()
86 , eta_(eta) in TNC()
303 return eta_; in getEta()
308 eta_ = eta; in setEta()
364 << " eta=" << eta_ in __repr__()
379 adv.saveAttribute("eta_", eta_); in save()
393 adv.loadAttribute("eta_", eta_); in load()
/dports/science/lammps/lammps-stable_29Sep2021/doc/src/PDF/
H A Dpair_gayberne_extra.tex20 \mathbf{A}_1, \mathbf{A}_2, \mathbf{r}_{12}, \gamma ) \cdot \eta_{12} (
39 $$ \eta_{12} = [ \frac{ 2 s_1 s_2 }{\det ( \mathbf{G}_{12} )}]^{
85 $$ \mathbf{f} = - \eta_{12} ( U_r \cdot { \frac{\partial \chi_{12}
119 $$ \mathbf{\tau}_i = U_r \eta_{12} \frac{ \partial \chi_{12} }{
120 \partial \mathbf{q}_i } + \chi_{12} ( U_r \frac{ \partial \eta_{12} }{
121 \partial \mathbf{q}_i } + \eta_{12} \frac{ \partial U_r }{ \partial
140 $$ \frac{ \partial \eta_{12} }{ \partial \mathbf{q}_i } = \mathbf{A}_i
141 \cdot \sum_m \mathbf{a}_{mi} \times \frac{ \partial \eta_{12} }{
154 $$ \mathbf{E} = [ e_{my} ] = \frac{ \partial \eta_{12} }{ \partial
/dports/science/liggghts/LIGGGHTS-PUBLIC-3.8.0-26-g6e873439/doc/PDF/
H A Dpair_gayberne_extra.tex20 \mathbf{A}_1, \mathbf{A}_2, \mathbf{r}_{12}, \gamma ) \cdot \eta_{12} (
39 $$ \eta_{12} = [ \frac{ 2 s_1 s_2 }{\det ( \mathbf{G}_{12} )}]^{
85 $$ \mathbf{f} = - \eta_{12} ( U_r \cdot { \frac{\partial \chi_{12}
119 $$ \mathbf{\tau}_i = U_r \eta_{12} \frac{ \partial \chi_{12} }{
120 \partial \mathbf{q}_i } + \chi_{12} ( U_r \frac{ \partial \eta_{12} }{
121 \partial \mathbf{q}_i } + \eta_{12} \frac{ \partial U_r }{ \partial
140 $$ \frac{ \partial \eta_{12} }{ \partial \mathbf{q}_i } = \mathbf{A}_i
141 \cdot \sum_m \mathbf{a}_{mi} \times \frac{ \partial \eta_{12} }{
154 $$ \mathbf{E} = [ e_{my} ] = \frac{ \partial \eta_{12} }{ \partial
/dports/math/hmat-oss/hmat-oss-1.7.1/src/
H A Dadmissibility.cpp58 eta_(eta) { ratio_ = ratio; } in StandardAdmissibilityCondition()
116 return min_diameter > 0.0 && min_diameter <= eta_ * rows_bbox->distanceTo(*cols_bbox); in isLowRank()
131 oss << "Hackbusch formula, with eta = " << eta_; in str()
136 eta_ = eta; in setEta()
140 return eta_; in getEta()
/dports/finance/quantlib/QuantLib-1.20/ql/experimental/processes/
H A Dextouwithjumpsprocess.cpp34 jumpIntensity_(jumpIntensity), eta_(eta), in ExtOUWithJumpsProcess()
54 return eta_; in eta()
95 const Real jumpSize = -1.0/eta_*std::log(u2); in evolve()
/dports/science/votca/votca-2021.2-18560-gfbe18d971/xtp/xtp-2a31d70/include/votca/xtp/
H A Drpa.h45 double getEta() const { return eta_; } in getEta()
81 const double eta_ = 0.0001; variable
/dports/science/votca/votca-2021.2-18560-gfbe18d971/xtp/include/votca/xtp/
H A Drpa.h45 double getEta() const { return eta_; } in getEta()
81 const double eta_ = 0.0001; variable
/dports/math/R-cran-lava/lava/inst/doc/
H A Dnonlinear.Rmd31 \[X_{j} = \eta_{1} + \epsilon_{j}^{x}, \quad j=1,2,3\]
32 \[Y_{j} = \eta_{2} + \epsilon_{j}^{y}, \quad j=1,2,3\]
34 \[\eta_{2} = f(\eta_{1}) + Z + \zeta_{2}\label{ex:eta2}\]
35 \[\eta_{1} = Z + \zeta_{1}\label{ex:eta1}\]
91 \mathbb{E}_{\widehat{\theta}_{2}}(\eta_{2} \mid \eta_{1}, Z=0),
225 between the latent variable \(\eta_{1}\) and a dichotomized version of
267 model. Thus, only the intercept of \(\eta_{1}\) is allowed to vary
/dports/math/R-cran-lava/lava/vignettes/
H A Dnonlinear.Rmd31 \[X_{j} = \eta_{1} + \epsilon_{j}^{x}, \quad j=1,2,3\]
32 \[Y_{j} = \eta_{2} + \epsilon_{j}^{y}, \quad j=1,2,3\]
34 \[\eta_{2} = f(\eta_{1}) + Z + \zeta_{2}\label{ex:eta2}\]
35 \[\eta_{1} = Z + \zeta_{1}\label{ex:eta1}\]
91 \mathbb{E}_{\widehat{\theta}_{2}}(\eta_{2} \mid \eta_{1}, Z=0),
225 between the latent variable \(\eta_{1}\) and a dichotomized version of
267 model. Thus, only the intercept of \(\eta_{1}\) is allowed to vary
/dports/science/lammps/lammps-stable_29Sep2021/doc/src/
H A Dpair_polymorphic.rst42 :math:`\delta_{ij} = 0` otherwise), :math:`\eta_{ij}` is similar
43 constant that can be set either to :math:`\eta_{ij} = \delta_{ij}` or
44 :math:`\eta_{ij} = 1 - \delta_{ij}` depending on the potential type,
56 :math:`\eta` to represent :math:`\eta_{ij}`. When :math:`\eta = 1`,
57 :math:`\eta_{ij} = 1 - \delta_{ij}`, otherwise :math:`\eta_{ij} =
69 \eta_{ij} & = \delta_{ij} (\eta = 2~or~\eta = 0),\xi_{IJ}=0 \\
82 \eta_{ij} & = \delta_{ij} (\eta = 2~or~\eta = 0),\xi_{IJ}=1 \\
105 \eta_{ij} & = \delta_{ij} (\eta = 2~or~\eta = 0),\xi_{IJ}=0 \\
118 \eta_{ij} & = \delta_{ij} (\eta = 2~or~\eta = 0),\xi_{IJ}=1 \\
142 \eta_{ij} & = 1-\delta_{ij} (\eta = 1),\xi_{IJ}=0 \\
[all …]
/dports/math/openturns/openturns-1.18/lib/src/Uncertainty/Distribution/
H A DMultinomial.cxx50 , eta_(ResourceMap::GetAsScalar("Multinomial-eta")) in Multinomial()
66 , eta_(ResourceMap::GetAsScalar("Multinomial-eta")) in Multinomial()
462 if (eta_ > 0.0) in computeProbability()
464 r = std::pow(eta_, 1.0 / (2.0 * nA)); in computeProbability()
831 r_ = std::pow(eta_, 1.0 / (2.0 * n)); in setN()
832 …= std::exp(lgamma(n + 1.0) - n * std::log(1.0 * n) + n - std::log(2.0 * n) - 0.5 * std::log(eta_)); in setN()
859 eta_ = eta; in setEta()
864 return eta_; in getEta()
877 adv.saveAttribute( "eta_", eta_ ); in save()
890 adv.loadAttribute( "eta_", eta_ ); in load()
/dports/finance/quantlib/QuantLib-1.20/ql/pricingengines/vanilla/
H A Danalytich1hwengine.cpp45 const Real lambda_, eta_; member in QuantLib::AnalyticH1HWEngine::Fj_Helper
58 eta_ (hullWhiteModel->sigma()), in Fj_Helper()
134 return eta_*rhoSr_*I4; in operator ()()

1234567