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/dports/math/libmesh/libmesh-1.6.2/examples/systems_of_equations/systems_of_equations_ex4/
H A Dsystems_of_equations_ex4.C237 unsigned int C_i, C_j, C_k, C_l; in assemble_elasticity() local
238 C_i=0, C_k=0; in assemble_elasticity()
241 …Kuu(i,j) += JxW[qp]*(eval_elasticity_tensor(C_i, C_j, C_k, C_l) * dphi[i][qp](C_j)*dphi[j][qp](C_l… in assemble_elasticity()
244 …Kuu(i,j) += JxW[qp]*(eval_elasticity_tensor(C_i, C_j, C_k, C_l) * dphi[i][qp](C_j)*dphi[j][qp](C_l… in assemble_elasticity()
247 …Kuu(i,j) += JxW[qp]*(eval_elasticity_tensor(C_i, C_j, C_k, C_l) * dphi[i][qp](C_j)*dphi[j][qp](C_l… in assemble_elasticity()
257 unsigned int C_i, C_j, C_k, C_l; in assemble_elasticity() local
258 C_i=0, C_k=1; in assemble_elasticity()
277 unsigned int C_i, C_j, C_k, C_l; in assemble_elasticity() local
278 C_i=1, C_k=0; in assemble_elasticity()
297 unsigned int C_i, C_j, C_k, C_l; in assemble_elasticity() local
[all …]
/dports/math/libmesh/libmesh-1.6.2/examples/reduced_basis/reduced_basis_ex5/
H A Dassembly.C91 for (unsigned int C_k = 0; C_k < n_components; C_k++) in interior_assembly() local
98 (c.get_elem_jacobian(C_i,C_k))(i,j) += in interior_assembly()
105 for (unsigned int C_k = 0; C_k < n_components; C_k++) in interior_assembly() local
112 for (unsigned int j=0; j<n_var_dofs[C_k]; j++) in interior_assembly()
113 (c.get_elem_jacobian(C_i,C_k))(i,j) += in interior_assembly()
149 for (unsigned int C_k = 0; C_k < n_components; C_k++) in interior_assembly() local
156 (c.get_elem_jacobian(C_i,C_k))(i,j) += in interior_assembly()
193 for (unsigned int C_k = 0; C_k < n_components; C_k++) in interior_assembly() local
197 Real C_ijkl = elasticity_tensor(C_i,C_j,C_k,C_l); in interior_assembly()
200 for (unsigned int j=0; j<n_var_dofs[C_k]; j++) in interior_assembly()
[all …]
H A Dreduced_basis_ex5.C402 for (unsigned int C_k=0; C_k<3; C_k++) in compute_stresses() local
404 const unsigned int n_var_dofs = dof_indices_var[C_k].size(); in compute_stresses()
409 … displacement_gradient.add_scaled(dphi[l][qp], system.current_solution(dof_indices_var[C_k][l])); in compute_stresses()
412 …elem_sigma(C_i,C_j) += JxW[qp] * (elasticity_tensor(C_i, C_j, C_k, C_l) * displacement_gradient(C_… in compute_stresses()
/dports/math/libmesh/libmesh-1.6.2/examples/systems_of_equations/systems_of_equations_ex5/
H A Dsystems_of_equations_ex5.C256 unsigned int C_i, C_j, C_k, C_l; in assemble_elasticity() local
257 C_i=0, C_k=0; in assemble_elasticity()
260 …Kuu(i,j) += JxW[qp]*(eval_elasticity_tensor(C_i, C_j, C_k, C_l) * dphi[i][qp](C_j)*dphi[j][qp](C_l… in assemble_elasticity()
263 …Kuu(i,j) += JxW[qp]*(eval_elasticity_tensor(C_i, C_j, C_k, C_l) * dphi[i][qp](C_j)*dphi[j][qp](C_l… in assemble_elasticity()
266 …Kuu(i,j) += JxW[qp]*(eval_elasticity_tensor(C_i, C_j, C_k, C_l) * dphi[i][qp](C_j)*dphi[j][qp](C_l… in assemble_elasticity()
276 unsigned int C_i, C_j, C_k, C_l; in assemble_elasticity() local
277 C_i=0, C_k=1; in assemble_elasticity()
296 unsigned int C_i, C_j, C_k, C_l; in assemble_elasticity() local
297 C_i=1, C_k=0; in assemble_elasticity()
316 unsigned int C_i, C_j, C_k, C_l; in assemble_elasticity() local
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/dports/lang/zig-devel/zig-0.9.0/test/standalone/mix_c_files/
H A Dtest.c5 _Thread_local int C_k = 100; variable
7 int add_C(int x) { return x+zig_k+C_k; } in add_C()
8 int add_C_zig(int x) { return add_may_panic(x) + C_k; } in add_C_zig()
H A Dmain.zig5 extern threadlocal var C_k: c_int;
9 return x + zig_k + C_k;
22 C_k = 200;
/dports/lang/zig/zig-0.9.0/test/standalone/mix_c_files/
H A Dtest.c5 _Thread_local int C_k = 100; variable
7 int add_C(int x) { return x+zig_k+C_k; } in add_C()
8 int add_C_zig(int x) { return add_may_panic(x) + C_k; } in add_C_zig()
H A Dmain.zig5 extern threadlocal var C_k: c_int;
9 return x + zig_k + C_k;
22 C_k = 200;
/dports/math/openturns/openturns-1.18/python/src/
H A DTensorizedCovarianceModel_doc.i.in7 Collection of covariance models :math:`(C_k)_{1 \leq k \leq K}` of dimension :math:`d_k`.
19 …_d^+(\Rset)` is defined from the collection of covariance functions :math:`C_k: \cD \times \cD \ma…
30 …{\sigma} =(\Tr{\sigma}_{1}, \dots, \Tr{\sigma}_{K})` and each model :math:`C_k` is parameterized b…
32 …n}^0)` be the initial scale of the covariance model :math:`C_k`. After the update, :math:`C_k` has…
H A DProductCovarianceModel_doc.i.in7 Collection of covariance models :math:`(C_k)_{1 \leq k \leq K}` of dimension :math:`d=1`.
24 …C(\vect{s}, \vect{t}) = \prod_{k=1}^K C_k(\vect{s}_k, \vect{t}_k), \quad \forall (\vect{s}, \vect…
26 where :math:`C_k : \cD_k \times \cD_k \rightarrow \cS_d^+(\Rset)` with :math:`\cD_k \in \Rset^{d_…
/dports/math/R-cran-survey/survey/inst/doc/
H A Dqrule.Rnw63 weights $C_k=\sum_{i\leq k} w_i$, the total weight $C_n=\sum w_i$, and
68 {\tt hf4} & $p_k= k/n$ & $p_k = C_k/C_n$\\
69 {\tt hf5} & $p_k= (k-0.5)/n$ & $p_k = (C_k-w_k)/C_n$\\
70 {\tt hf6} & $p_k= k/(n+1)$ & $p_k = C_k/(C_n+w_n)$\\
72 {\tt hf8} & $p_k= (k-1/3)/(n+2/3)$ & $p_k = (C_k-w_k/3)/(C_n+w_n/3)$\\
73 {\tt hf9} & $p_k= (k-3/8)/(n+1/4)$ & $p_k = (C_k-3w_k./8)/(C_n+w_n/4)$\\
/dports/math/R-cran-survey/survey/vignettes/
H A Dqrule.Rnw63 weights $C_k=\sum_{i\leq k} w_i$, the total weight $C_n=\sum w_i$, and
68 {\tt hf4} & $p_k= k/n$ & $p_k = C_k/C_n$\\
69 {\tt hf5} & $p_k= (k-0.5)/n$ & $p_k = (C_k-w_k)/C_n$\\
70 {\tt hf6} & $p_k= k/(n+1)$ & $p_k = C_k/(C_n+w_n)$\\
72 {\tt hf8} & $p_k= (k-1/3)/(n+2/3)$ & $p_k = (C_k-w_k/3)/(C_n+w_n/3)$\\
73 {\tt hf9} & $p_k= (k-3/8)/(n+1/4)$ & $p_k = (C_k-3w_k./8)/(C_n+w_n/4)$\\
/dports/science/py-pyscf/pyscf-2.0.1/pyscf/pbc/tools/
H A Dk2gamma.py112 C_k = np.asarray(mo_coeff)
113 Nk, Nao, Nmo = C_k.shape
117 C_gamma = np.einsum('Rk, kum -> Rukm', phase, C_k)
151 mo_phase = lib.einsum('kum,kuv,vi->kmi', C_k.conj(), s_k_g, C_gamma)
/dports/devel/ode/ode-0.13/ode/src/
H A Dstep.cpp302 sum0 += bb[0] * C_k; in MultiplyAdd1_8q1()
303 sum1 += bb[1] * C_k; in MultiplyAdd1_8q1()
304 sum2 += bb[2] * C_k; in MultiplyAdd1_8q1()
305 sum4 += bb[4] * C_k; in MultiplyAdd1_8q1()
306 sum5 += bb[5] * C_k; in MultiplyAdd1_8q1()
307 sum6 += bb[6] * C_k; in MultiplyAdd1_8q1()
327 sum0 += bb[0] * C_k; in Multiply1_8q1()
328 sum1 += bb[1] * C_k; in Multiply1_8q1()
329 sum2 += bb[2] * C_k; in Multiply1_8q1()
330 sum4 += bb[4] * C_k; in Multiply1_8q1()
[all …]
/dports/science/py-pyscf/pyscf-2.0.1/pyscf/pbc/dft/
H A Dkukspu.py76 C_k = C_ao_lo[s, k][:, idx]
78 SC = np.dot(S_k, C_k)
H A Dkrkspu.py96 C_k = C_ao_lo[k][:, idx]
98 SC = np.dot(S_k, C_k)
/dports/vietnamese/vnpstext/include/
H A Dcharseta.h115 #define C_k 107 macro
/dports/vietnamese/vn7to8/DONT.include/
H A Dcharseta.h115 #define C_k 107 macro
/dports/vietnamese/libviet/libviet-20010210/include/
H A Dcharseta.h115 #define C_k 107 macro
/dports/vietnamese/vnconvert/vi-vnconvert-1.0_1/
H A Dcharseta.h115 #define C_k 107 macro
/dports/math/octave-forge-queueing/queueing/inst/
H A Dqnmarkov.m48 ## @math{C_k \geq m_k} which includes both buffer space and servers.
50 ## @math{C_k - m_k}.
57 ## @math{N < \sum_{k=1}^K C_k}.
131 ## The space complexity of this implementation is @math{O(\prod_{k=1}^K (C_k + 1)^2)}. The time com…
132 ## the time needed to solve a linear system with @math{\prod_{k=1}^K (C_k + 1)} unknowns.
/dports/math/gismo/gismo-21.12.0/doc/
H A Dieti_example.dox104 patch, these *primal constraints* build a matrix \f$ C_k \f$. The IETI
143 A_k & C_k^\top \\
144 C_k & 0
180 constraints. A constraint is pointwise the correspoding row of \f$ C_k \f$
227 (vectors that make up the) constraint matrices \f$ C_k \f$ and store them in
/dports/science/qmcpack/qmcpack-3.11.0/src/QMCTools/
H A DPyscfToQmcpack.py111 C_k = numpy.asarray(mo_coeff)
112 Nk, Nao, Nmo = C_k.shape
116 C_gamma = numpy.einsum('Rk, kum -> Rukm', phase, C_k)
149 mo_phase = lib.einsum('kum,kuv,vi->kmi', C_k.conj(), s_k_g, C_gamma)
/dports/math/gretl/gretl-2021d/doc/tex/
H A Dvar.tex354 C_k = \frac{\partial y_t}{\partial u_{t-i}} = \Theta_k K,
356 known as the structural VMA representation. From the $C_k$ matrices
362 elements in row $i$ and column $j$ of the $C_k$ matrices. In symbols:
382 \Omega_h = \sum_{k=0}^h C_k C_k'
387 \mathrm{diag}(C_k C_k')_i =
390 where ${}_kc_{i.l}$ is, trivially, the $i,l$ element of $C_k$. As a
455 \mathrm{vec}(C_k) = \mathrm{vec}(\Theta_k K) = (K' \otimes I)
/dports/math/scilab-toolbox-swt/swt/macros/
H A Dwnoisest.sci9 //STDC: STDC(k) is an estimate of the standard deviation of C_k

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