Lines Matching refs:P

146         P, Q = 8, 10
147         Pdim = P**dim
172         bxl = ceed.BasisTensorH1Lagrange(dim, dim, 2, P, libceed.GAUSS_LOBATTO)
185         bug = ceed.BasisTensorH1Lagrange(dim, 1, P, Q, libceed.GAUSS)
206     P, Q, dim = 6, 4, 2
208     in_array = np.empty(P, dtype=ceed.scalar_type())
215     b = ceed.BasisH1(libceed.TRIANGLE, 1, P, Q, interp, grad, qref, qweight)
228     P, Q, dim = 6, 4, 2
232     in_array = np.empty(P, dtype=ceed.scalar_type())
239     b = ceed.BasisH1(libceed.TRIANGLE, 1, P, Q, interp, grad, qref, qweight)
242     for i in range(P):
243         in_array[i] = feval(xr[0 * P + i], xr[1 * P + i])
245     in_vec = ceed.Vector(P)
270     P, Q, dim = 6, 4, 2
276     in_array = np.empty(P, dtype=ceed.scalar_type())
283     b = ceed.BasisH1(libceed.TRIANGLE, 1, P, Q, interp, grad, qref, qweight)
286     for i in range(P):
287         in_array[i] = feval(xr[0 * P + i], xr[1 * P + i])
289     in_vec = ceed.Vector(P)
313     P, Q, dim = 4, 4, 2
315     in_array = np.ones(P, dtype=ceed.scalar_type())
322     b = ceed.BasisHdiv(libceed.QUAD, 1, P, Q, interp, div, qref, qweight)
325     in_vec = ceed.Vector(P)
346     P, Q, dim = 3, 4, 2
348     in_array = np.empty(P, dtype=ceed.scalar_type())
355     b = ceed.BasisHcurl(libceed.TRIANGLE, 1, P, Q, interp, curl, qref, qweight)
362     in_vec = ceed.Vector(P)