/dports/math/libmesh/libmesh-1.6.2/examples/systems_of_equations/systems_of_equations_ex4/ |
H A D | systems_of_equations_ex4.C | 237 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 …]
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/dports/math/libmesh/libmesh-1.6.2/examples/reduced_basis/reduced_basis_ex5/ |
H A D | assembly.C | 91 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 …]
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H A D | reduced_basis_ex5.C | 402 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()
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/dports/math/libmesh/libmesh-1.6.2/examples/systems_of_equations/systems_of_equations_ex5/ |
H A D | systems_of_equations_ex5.C | 256 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 [all …]
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/dports/lang/zig-devel/zig-0.9.0/test/standalone/mix_c_files/ |
H A D | test.c | 5 _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()
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H A D | main.zig | 5 extern threadlocal var C_k: c_int; 9 return x + zig_k + C_k; 22 C_k = 200;
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/dports/lang/zig/zig-0.9.0/test/standalone/mix_c_files/ |
H A D | test.c | 5 _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()
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H A D | main.zig | 5 extern threadlocal var C_k: c_int; 9 return x + zig_k + C_k; 22 C_k = 200;
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/dports/math/openturns/openturns-1.18/python/src/ |
H A D | TensorizedCovarianceModel_doc.i.in | 7 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…
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H A D | ProductCovarianceModel_doc.i.in | 7 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_…
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/dports/math/R-cran-survey/survey/inst/doc/ |
H A D | qrule.Rnw | 63 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} & $p_k= (k-3/8)/(n+1/4)$ & $p_k = (C_k-3w_k./8)/(C_n+w_n/4)$\\
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/dports/math/R-cran-survey/survey/vignettes/ |
H A D | qrule.Rnw | 63 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} & $p_k= (k-3/8)/(n+1/4)$ & $p_k = (C_k-3w_k./8)/(C_n+w_n/4)$\\
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/dports/science/py-pyscf/pyscf-2.0.1/pyscf/pbc/tools/ |
H A D | k2gamma.py | 112 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)
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/dports/devel/ode/ode-0.13/ode/src/ |
H A D | step.cpp | 302 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 …]
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/dports/science/py-pyscf/pyscf-2.0.1/pyscf/pbc/dft/ |
H A D | kukspu.py | 76 C_k = C_ao_lo[s, k][:, idx] 78 SC = np.dot(S_k, C_k)
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H A D | krkspu.py | 96 C_k = C_ao_lo[k][:, idx] 98 SC = np.dot(S_k, C_k)
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/dports/vietnamese/vnpstext/include/ |
H A D | charseta.h | 115 #define C_k 107 macro
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/dports/vietnamese/vn7to8/DONT.include/ |
H A D | charseta.h | 115 #define C_k 107 macro
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/dports/vietnamese/libviet/libviet-20010210/include/ |
H A D | charseta.h | 115 #define C_k 107 macro
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/dports/vietnamese/vnconvert/vi-vnconvert-1.0_1/ |
H A D | charseta.h | 115 #define C_k 107 macro
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/dports/math/octave-forge-queueing/queueing/inst/ |
H A D | qnmarkov.m | 48 ## @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.
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/dports/math/gismo/gismo-21.12.0/doc/ |
H A D | ieti_example.dox | 104 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
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/dports/science/qmcpack/qmcpack-3.11.0/src/QMCTools/ |
H A D | PyscfToQmcpack.py | 111 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)
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/dports/math/gretl/gretl-2021d/doc/tex/ |
H A D | var.tex | 354 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)
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/dports/math/scilab-toolbox-swt/swt/macros/ |
H A D | wnoisest.sci | 9 //STDC: STDC(k) is an estimate of the standard deviation of C_k
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