Searched refs:grad_c (Results 1 – 9 of 9) sorted by relevance
/dports/science/pybrain/pybrain-0.3.3/pybrain/supervised/trainers/ |
H A D | mixturedensity.py | 67 grad_c = par[0:nGauss] - gamma 77 self.module.outputerror[time] = -np.r_[grad_c,grad_s,np.array(grad_m).flatten()]
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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/OPTPP/src/Constraints/ |
H A D | CompoundConstraint.C | 366 SerialDenseMatrix<int,double> grad_c; in computeFeasibleInequalities() local 379 grad_c.reshape(xc.length(),v.length()); in computeFeasibleInequalities() 380 grad_c = test.evalGradient(xc); in computeFeasibleInequalities() 387 int alpha = grad_c.numRows(); in computeFeasibleInequalities() 390 { g(i) = grad_c(i,indices[j]);} in computeFeasibleInequalities()
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/dports/math/optpp/optpp-2.4/src/Constraints/ |
H A D | CompoundConstraint.C | 298 Matrix grad_c; in computeFeasibleInequalities() local 308 grad_c = test.evalGradient(xc); in computeFeasibleInequalities() 315 g = grad_c.Column(indices[j-1]); in computeFeasibleInequalities()
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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/src/inactive/ |
H A D | NonDUnilevelRBDO.C | 842 Matrix& grad_c, int& result_mode) 859 grad_c(i+1, 1) = fnGradU(i); // grad_c transposed from DAKOTA grads 902 Matrix& grad_c, int& result_mode) 925 grad_c(i, 1) = 2*u(i); // gradient of constraint is 2u
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/dports/math/py-theano/Theano-1.0.5/theano/gpuarray/ |
H A D | dnn.py | 2497 grad_c=(dcy is not None))( 2518 def __init__(self, rnn_mode, grad_h, grad_c): argument 2522 self.grad_c = grad_c 2523 if self.grad_c: 2539 if self.grad_c: 2556 if self.grad_c:
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/dports/math/libnormaliz/normaliz-3.9.0/PyNormaliz/ |
H A D | NormalizModule.cpp | 1475 vector< Integer > grad_c; in NmzSetGrading_inner() local 1476 bool result = PyListToNmz(grad_c, grad); in NmzSetGrading_inner() 1482 cone->resetGrading(grad_c); in NmzSetGrading_inner()
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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/src/ |
H A D | GaussProcApproximation.cpp | 950 Teuchos::SerialDenseVector<int, double>& g, Teuchos::SerialDenseMatrix<int, double>& grad_c, in constraint_eval() argument
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/linear_model/ |
H A D | _sag_fast.pyx | 141 grad_c = - sw * (p[c] - \delta_{y,c}) 241 grad_c = - sw * (p[c] - \delta_{y,c})
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H A D | _sag_fast.pyx.tp | 153 grad_c = - sw * (p[c] - \delta_{y,c})
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