def evaluate(self, t0, qSDC, fSDC, node, feval, **kwargs):
nnodes = fSDC.shape[1]
f1eval = hasattr(feval, 'f1_evaluate')
f2eval = hasattr(feval, 'f2_evaluate')
if node == 'all':
for m in range(nnodes):
self.pf.state.node = m
self.level.call_hooks('pre-feval', **kwargs)
if f1eval and f2eval:
feval.f1_evaluate(qSDC[m], t0, fSDC[0, m], **kwargs)
feval.f2_evaluate(qSDC[m], t0, fSDC[1, m], **kwargs)
elif f1eval:
feval.f1_evaluate(qSDC[m], t0, fSDC[0, m], **kwargs)
else:
feval.f2_evaluate(qSDC[m], t0, fSDC[0, m], **kwargs)
self.level.call_hooks('post-feval', **kwargs)
else:
self.pf.state.node = node
self.level.call_hooks('pre-feval', **kwargs)
if f1eval and f2eval:
feval.f1_evaluate(qSDC[node], t0, fSDC[0, node], **kwargs)
feval.f2_evaluate(qSDC[node], t0, fSDC[1, node], **kwargs)
elif f1eval:
feval.f1_evaluate(qSDC[node], t0, fSDC[0, node], **kwargs)
else:
feval.f2_evaluate(qSDC[node], t0, fSDC[0, node], **kwargs)
self.level.call_hooks('post-feval', **kwargs)
def sweep(self, b, t0, dt, qSDC, fSDC, feval, **kwargs):
r"""Perform one SDC sweep with new initial conditions and add FAS
corrections.
:param b: right hand side (numpy array of size ``(nnodes,nqvar)``)
:param t0: initial time
:param dt: time step
:param qSDC: solution (numpy array of size ``(nnodes,nqvar)``)
:param fSDC: function (numpy array of size ``(nnodes,nfvar)``)
:param feval: implicit/explicit function evaluator (instance
of :py:class:`pfasst.feval.FEval`)
Note that *qSDC* and *fSDC* are over-written.
The sweep performed uses forward/fackward Euler time-stepping:
XXX
.. math::
\begin{multline}
U^{k+1}_{m+1} = U^k_m + \Delta t_m
\bigl[ f_I(t_{m+1}, U^{k+1}_{m+1}) +
f_E(t_{m}, U^{k+1}_{m}) \bigr] \\
+ \vec{S}^{m,m+1}_E \, f_E(\vec{t}, \vec{U}^{k})
+ \vec{S}^{m,m+1}_I \, f_I(\vec{t}, \vec{U}^{k}).
\end{multline}
"""
exp = self.smat_exp
imp = self.smat_imp
pieces = fSDC.shape[0]
nnodes = fSDC.shape[1]
shape = fSDC.shape[2:]
size = feval.size
fSDCf = fSDC.reshape((pieces, nnodes, size)) # flatten so we can use np.dot
rhs = dt * (np.dot(exp, fSDCf[0]) + np.dot(imp, fSDCf[1]))
rhs = rhs.reshape((nnodes-1,)+shape) # unflatten
# add b
if b is not None:
rhs += b[1:]
# set initial condition and eval
qSDC[0] = b[0]
feval.f1_evaluate(qSDC[0], t0, fSDC[0,0], **kwargs)
feval.f2_evaluate(qSDC[0], t0, fSDC[1,0], **kwargs)
# sub time-stepping
t = t0
dtsdc = dt * self.dsdc
for m in range(self.nnodes-1):
t += dtsdc[m]
y = qSDC[m] + dtsdc[m]*fSDC[0,m] + rhs[m]
feval.f2_solve(y, qSDC[m+1], t, dtsdc[m], fSDC[1,m+1], **kwargs)
feval.f1_evaluate(qSDC[m+1], t, fSDC[0,m+1], **kwargs)
