Lines Matching full:dim

59     "def eval(dim, x):\n",
61     "  for d in range(dim):\n",
93     "    dim=1,   # topological dimension\n",
194     "for dim in range(1, 4):\n",
196     "  Q_dim = Q**dim\n",
197     "  X_dim = 2**dim\n",
198     "  x = np.empty(X_dim*dim, dtype=\"float64\")\n",
201     "  for d in range(dim):\n",
203     "      x[d*X_dim + i] = 1 if (i % (2**(dim-d))) // (2**(dim-d-1)) else -1\n",
205     "  X = ceed.Vector(X_dim*dim)\n",
207     "  X_q = ceed.Vector(Q_dim*dim)\n",
213     "  basis_x_lobatto = ceed.BasisTensorH1Lagrange(dim, dim, 2, Q, libceed.GAUSS_LOBATTO)\n",
214     "  basis_u_lobatto = ceed.BasisTensorH1Lagrange(dim, 1, Q, Q, libceed.GAUSS_LOBATTO)\n",
220     "      x = np.empty(dim, dtype=\"float64\")\n",
221     "      for d in range(dim):\n",
223     "      u_array[i] = eval(dim, x)\n",
230     "  basis_x_gauss = ceed.BasisTensorH1Lagrange(dim, dim, 2, Q, libceed.GAUSS)\n",
231     "  basis_u_gauss = ceed.BasisTensorH1Lagrange(dim, 1, Q, Q, libceed.GAUSS)\n",
237     "    if dim == 2:\n",
260     "for dim in range (1, 4):\n",
262     "  P_dim = P**dim\n",
263     "  Q_dim = Q**dim\n",
264     "  X_dim = 2**dim\n",
266     "  x_array = np.empty(X_dim*dim, dtype=\"float64\")\n",
269     "  for d in range(dim):\n",
271     "      x_array[d*X_dim + i] = 1 if (i % (2**(dim-d))) // (2**(dim-d-1)) else -1\n",
273     "  X = ceed.Vector(X_dim*dim)\n",
275     "  X_q = ceed.Vector(P_dim*dim)\n",
278     "  U_q = ceed.Vector(Q_dim*dim)\n",
280     "  Ones = ceed.Vector(Q_dim*dim)\n",
286     "  basis_x_lobatto = ceed.BasisTensorH1Lagrange(dim, dim, 2, P, libceed.GAUSS_LOBATTO)\n",
291     "      x = np.empty(dim, dtype=\"float64\")\n",
292     "      for d in range(dim):\n",
294     "      u_array[i] = eval(dim, x)\n",
299     "  basis_u_gauss = ceed.BasisTensorH1Lagrange(dim, 1, P, Q, libceed.GAUSS)\n",
307     "    for i in range(dim*Q_dim):\n",