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| 1 | +from pySDC import Level as lvl |
| 2 | +from pySDC import Hooks as hookclass |
| 3 | +from pySDC import CollocationClasses as collclass |
| 4 | +from pySDC import Step as stepclass |
| 5 | + |
| 6 | +from pySDC.datatype_classes.complex_mesh import mesh, rhs_imex_mesh |
| 7 | +from pySDC.sweeper_classes.imex_1st_order import imex_1st_order as imex |
| 8 | +from examples.SWFW.ProblemClass import swfw_scalar |
| 9 | +import numpy as np |
| 10 | + |
| 11 | +if __name__ == "__main__": |
| 12 | + |
| 13 | + pparams = {} |
| 14 | + pparams['lambda_s'] = np.array([-0.0], dtype='complex') |
| 15 | + pparams['lambda_f'] = np.array([-1.0], dtype='complex') |
| 16 | + pparams['u0'] = 1.0 |
| 17 | + swparams = {} |
| 18 | + swparams['collocation_class'] = collclass.CollGaussLobatto |
| 19 | + swparams['num_nodes'] = 3 |
| 20 | + K = 1 |
| 21 | + |
| 22 | + |
| 23 | + step = stepclass.step(params={}) |
| 24 | + L = lvl.level(problem_class=swfw_scalar, problem_params=pparams, dtype_u=mesh, dtype_f=rhs_imex_mesh, sweeper_class=imex, sweeper_params=swparams, level_params={}, hook_class=hookclass.hooks, id="stability") |
| 25 | + step.register_level(L) |
| 26 | + step.status.dt = 1.0 |
| 27 | + step.status.time = 0.0 |
| 28 | + u0 = step.levels[0].prob.u_exact(step.status.time) |
| 29 | + step.init_step(u0) |
| 30 | + nnodes = step.levels[0].sweep.coll.num_nodes |
| 31 | + level = step.levels[0] |
| 32 | + problem = level.prob |
| 33 | + QE = level.sweep.QE[1:,1:] |
| 34 | + QI = level.sweep.QI[1:,1:] |
| 35 | + Q = level.sweep.coll.Qmat[1:,1:] |
| 36 | + |
| 37 | + dt = step.status.dt |
| 38 | + LHS = np.eye(nnodes) - step.status.dt*( problem.lambda_f[0]*QI + problem.lambda_s[0]*QE ) |
| 39 | + RHS = step.status.dt*( (problem.lambda_f[0]+problem.lambda_s[0])*Q - (problem.lambda_f[0]*QI + problem.lambda_s[0]*QE) ) |
| 40 | + |
| 41 | + Pinv = np.linalg.inv(LHS) |
| 42 | + Mat_sweep = np.linalg.matrix_power(Pinv.dot(RHS), K) |
| 43 | + for i in range(0,K): |
| 44 | + Mat_sweep = Mat_sweep + np.linalg.matrix_power(Pinv.dot(RHS),i).dot(Pinv) |
| 45 | + stab_fh = 1.0 + (pparams['lambda_s'][0] + pparams['lambda_f'][0])*level.sweep.coll.weights.dot(Mat_sweep.dot(np.ones(nnodes))) |
| 46 | + print abs(stab_fh) |
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