Home
last modified time | relevance | path

Searched refs:V_new (Results 1 – 14 of 14) sorted by relevance

/dports/graphics/instant-meshes/instant-meshes-0.0-42-g4a083f4/src/
H A Dreorder.cpp39 std::vector<MatrixXf> V_new(V_vec.size()), F_new(F_vec.size()); in reorder_mesh() local
44 V_new[i].resize(V_vec[i].rows(), V_vec[i].cols()); in reorder_mesh()
77 V_new[j].col(v_new) = V_vec[j].col(v_old); in reorder_mesh()
100 V_vec[i] = std::move(V_new[i]); in reorder_mesh()
/dports/science/py-scipy/scipy-1.7.1/scipy/optimize/_shgo_lib/
H A Dtriangulation.py265 V_new = []
276 V_new.append(vec)
280 V_new.append(C_new.centroid)
286 self.V[V_new[i]].connect(self.V[V_new[j]])
325 V_new = self.V[tuple((np.array(firstx) + np.array(lastx)) / 2.0)]
332 v.connect(self.V[V_new.x])
338 S_new_l.add_vertex(V_new) # Add new vertex
353 S_new_u.add_vertex(V_new)
/dports/science/chrono/chrono-7.0.1/src/chrono_fsi/physics/
H A DChFsiForceIISPH.cu471 Real3* V_new, in Calc_BC_aij_Bi() argument
595 V_new[i_idx] = 2 * V_prescribed; in Calc_BC_aij_Bi()
604 V_new[i_idx] = 2 * V_prescribed - numeratorv / denumenator; in Calc_BC_aij_Bi()
646 sortedVelMas[i_idx] = V_new[i_idx]; in Calc_BC_aij_Bi()
820 Real3* V_new, in FormAXB() argument
898 Real3* V_new, in Calc_Pressure_AXB_USING_CSR() argument
969 Real3* V_new, in Calc_Pressure()
1120 V_new[i_idx] = Vel_i; in Calc_Pressure()
1132 Real3* V_new, in Update_AND_Calc_Res() argument
1414 thrust::device_vector<Real3> V_new(numAllMarkers); in calcPressureIISPH() local
[all …]
H A DChSphGeneral.cu705 Real3* V_new, in Jacobi_SOR_Iter() argument
729 V_new[i_idx] = (b3vec[i_idx] - aij_vj) / A_Matrix[startIdx - 1]; in Jacobi_SOR_Iter()
741 Real3* V_new, in Update_AND_Calc_Res() argument
757 V_new[i_idx] = (1 - omega) * V_old[i_idx] + omega * V_new[i_idx]; in Update_AND_Calc_Res()
758 res = length(V_old[i_idx] - V_new[i_idx]); in Update_AND_Calc_Res()
759 V_old[i_idx] = V_new[i_idx]; in Update_AND_Calc_Res()
772 Real3* V_new, in Initialize_Variables() argument
785 sortedVelMas[i_idx] = V_new[i_idx]; in Initialize_Variables()
H A DChSphGeneral.cuh508 Real3* V_new,
521 Real3* V_new,
532 Real3* V_new,
H A DChFsiForceI2SPH.cu627 Real3 V_new = Vstar[i_idx] + Pressure_correction_term; in Velocity_Correction_and_update() local
632 Real4 x_new = sortedPosRad_old[i_idx] + mR4(delta_t * (V_new), 0.0); in Velocity_Correction_and_update()
634 sortedVelMas[i_idx] = V_new; in Velocity_Correction_and_update()
/dports/misc/py-onnx/onnx-1.10.2/onnx/defs/training/
H A Ddefs.cc357 momentum (called "V_new").
519 - the new exponentially-averaged historical gradient (denoted by "V_new"), and
/dports/devel/py-bullet3/bullet3-3.21/examples/pybullet/gym/pybullet_envs/deep_mimic/learning/
H A Dpg_agent.py305 V_new = self._calc_updated_vals(idx)
307 adv = V_new - V_old
/dports/graphics/wings/libigl-2.1.0/include/igl/
H A Dslim.cpp53 IGL_INLINE double compute_energy(igl::SLIMData& s, Eigen::MatrixXd &V_new);
289 IGL_INLINE double compute_energy(igl::SLIMData& s, Eigen::MatrixXd &V_new) in compute_energy() argument
291 compute_jacobians(s,V_new); in compute_energy()
293 compute_soft_const_energy(s, s.V, s.F, V_new); in compute_energy()
H A Dscaf.cpp296 void compute_jacobians(SCAFData &s, const Eigen::MatrixXd &V_new, bool whole) in compute_jacobians() argument
310 Eigen::MatrixXd m_V_new = V_new.topRows(s.mv_num); in compute_jacobians()
313 comp_J2(V_new, s.Dx_s, s.Dy_s, s.Ji_s); in compute_jacobians()
/dports/cad/PrusaSlicer/PrusaSlicer-version_2.3.3/src/libigl/igl/
H A Dslim.cpp56 IGL_INLINE double compute_energy(igl::SLIMData& s, Eigen::MatrixXd &V_new);
574 IGL_INLINE double compute_energy(igl::SLIMData& s, Eigen::MatrixXd &V_new) in compute_energy() argument
576 compute_jacobians(s,V_new); in compute_energy()
577 return compute_energy_with_jacobians(s, s.V, s.F, s.Ji, V_new, s.M) + in compute_energy()
578 compute_soft_const_energy(s, s.V, s.F, V_new); in compute_energy()
/dports/science/py-GPy/GPy-1.10.0/GPy/models/
H A Dstate_space_cython.pyx634 cdef np.ndarray[DTYPE_t, ndim=2] V_new = Vh.T
637 cdef np.ndarray[DTYPE_t, ndim=2] P_pred = np.dot(V_new * S_new, V_new.T) # prediction covariance
H A Dstate_space_main.py1417 V_new = Vh.T
1420 P_pred = np.dot(V_new * S_new, V_new.T) # prediction covariance
/dports/math/cantor/cantor-21.12.3/src/test/data/
H A DA Reaction-Diffusion Equation Solver in Python with Numpy.ipynb680 " V_new = numpy.linalg.solve(A_v, B_v.dot(V) - f_vec(U,V))\n",
683 " V = V_new\n",