Q_prior[:, sample] = eqn.q[:]
sample += 1
except:
pass
dirname ="solution"
y, u, R11, R12, R22, R33, omega = load_solution_stressomega(dirname)
eqn = StressOmegaEquation(y, u, R11, R12, R22, R33, omega, Retau)
eqn.beta[:] = np.loadtxt("inverse_solution/beta.%i"%maxiter)
eqn.writedir = "/tmp"
# first dt can be large as we restart from a good solution
eqn.force_boundary = False
eqn.dt = 1e1
eqn.tol = tol
eqn.solve()
eqn.postprocess(eqn.q)
eqn_map = copy.deepcopy(eqn)
up_map = eqn.up.copy()
qtarget = np.zeros_like(eqn.q)
dns, wilcox, wilcox_kw = load_data()
utau = Retau*eqn.nu*2.0
ydns = dns.y*0.5
ub = dns.u*utau
R11b = -(dns.ub*utau)**2
R22b = -(dns.vb*utau)**2
R33b = -(dns.wb*utau)**2
R12b = -dns.uv*utau*utau
f = interp1d(ydns, ub)
