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membraneTaylor.py
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Created
Sun, Dec 1, 09:57
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3 KB
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text/x-python
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Tue, Dec 3, 09:57 (1 d, 21 h)
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Attached To
R6746 RationalROMPy
membraneTaylor.py
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import
fenics
as
fen
import
numpy
as
np
from
rrompy.hfengines.base
import
HelmholtzProblemEngine
as
HPE
from
rrompy.reduction_methods.taylor
import
ApproximantTaylorPade
as
TP
from
rrompy.utilities.parameter_sweeper
import
ParameterSweeper
as
Sweeper
verb
=
0
test
=
"poles"
test
=
"error"
k0
=
10
ktars
=
np
.
linspace
(
78
**.
5
,
122
**.
5
,
50
)
def
boundaryNeumann
(
x
,
on_boundary
):
return
on_boundary
and
x
[
1
]
>
.
25
and
x
[
0
]
>
0.995
and
x
[
0
]
<
1.005
meshname
=
'../data/mesh/crack_coarse.xml'
#meshname = '../data/mesh/crack_fine.xml'
mesh
=
fen
.
Mesh
(
meshname
)
x
,
y
=
fen
.
SpatialCoordinate
(
mesh
)[:]
x0
,
y0
=
.
5
,
.
5
Rr
,
Ri
=
.
1
,
.
1
forcingTerm
=
fen
.
exp
(
-
((
x
-
x0
)
**
2
+
(
y
-
y0
)
**
2
)
/
2
/
Rr
**
2
)
solver
=
HPE
(
verbosity
=
verb
)
solver
.
omega
=
np
.
real
(
k0
)
solver
.
V
=
fen
.
FunctionSpace
(
mesh
,
"P"
,
3
)
solver
.
forcingTerm
=
forcingTerm
solver
.
NeumannBoundary
=
boundaryNeumann
solver
.
DirichletBoundary
=
'rest'
if
test
==
"poles"
:
appPoles
=
{}
Emax
=
13
params
=
{
'N'
:
6
,
'M'
:
0
,
'E'
:
6
,
'Emax'
:
Emax
,
'sampleType'
:
'Arnoldi'
,
'POD'
:
True
}
approxPade
=
TP
(
solver
,
mu0
=
k0
,
approxParameters
=
params
,
verbosity
=
verb
)
for
E
in
range
(
6
,
Emax
+
1
):
approxPade
.
E
=
E
appPoles
[
E
]
=
np
.
sort
(
approxPade
.
getPoles
())
a
=
fen
.
dot
(
fen
.
grad
(
solver
.
u
),
fen
.
grad
(
solver
.
v
))
*
fen
.
dx
A
=
fen
.
assemble
(
a
)
fen
.
DirichletBC
(
solver
.
V
,
fen
.
Constant
(
0.
),
solver
.
DirichletBoundary
)
.
apply
(
A
)
AMat
=
fen
.
as_backend_type
(
A
)
.
mat
()
Ar
,
Ac
,
Av
=
AMat
.
getValuesCSR
()
import
scipy.sparse
as
scsp
A
=
scsp
.
csr_matrix
((
Av
,
Ac
,
Ar
),
shape
=
AMat
.
size
)
m
=
fen
.
dot
(
solver
.
u
,
solver
.
v
)
*
fen
.
dx
M
=
fen
.
assemble
(
m
)
fen
.
DirichletBC
(
solver
.
V
,
fen
.
Constant
(
0.
),
solver
.
DirichletBoundary
)
.
apply
(
M
)
MMat
=
fen
.
as_backend_type
(
M
)
.
mat
()
Mr
,
Mc
,
Mv
=
MMat
.
getValuesCSR
()
import
scipy.sparse
as
scsp
M
=
scsp
.
csr_matrix
((
Mv
,
Mc
,
Mr
),
shape
=
MMat
.
size
)
poles
=
scsp
.
linalg
.
eigs
(
A
,
k
=
7
,
M
=
M
,
sigma
=
100.
,
return_eigenvectors
=
False
)
II
=
np
.
argsort
(
np
.
abs
(
poles
-
k0
))
poles
=
poles
[
II
]
print
(
'Exact'
,
end
=
': '
)
[
print
(
'{},{}'
.
format
(
np
.
real
(
x
),
np
.
imag
(
x
)),
end
=
','
)
for
x
in
poles
]
print
()
for
E
in
range
(
6
,
Emax
+
1
):
print
(
E
,
end
=
': '
)
[
print
(
'{},{}'
.
format
(
np
.
real
(
x
),
np
.
imag
(
x
)),
end
=
','
)
\
for
x
in
np
.
sort
(
appPoles
[
E
])]
print
()
elif
test
==
"error"
:
M0
=
5
Emax
=
8
params
=
{
'Emax'
:
Emax
,
'sampleType'
:
'Arnoldi'
,
'POD'
:
True
}
paramsSetsPade
=
[
None
]
*
(
Emax
-
M0
+
1
)
for
M
in
range
(
M0
,
Emax
+
1
):
paramsSetsPade
[
M
-
M0
]
=
{
'N'
:
M0
+
1
,
'M'
:
M
,
'E'
:
max
(
M
,
M0
+
1
)}
approxPade
=
TP
(
solver
,
mu0
=
k0
,
approxParameters
=
params
,
verbosity
=
verb
)
sweeper
=
Sweeper
(
mutars
=
ktars
,
mostExpensive
=
'Approx'
)
sweeper
.
ROMEngine
=
approxPade
sweeper
.
params
=
paramsSetsPade
filenamePade
=
sweeper
.
sweep
(
'../data/output/membrane_error.dat'
,
outputs
=
'ALL'
)
sweeper
.
plot
(
filenamePade
,
[
'muRe'
],
[
'normHF'
,
'normApp'
],
[
'M'
],
onePlot
=
True
)
sweeper
.
plot
(
filenamePade
,
[
'muRe'
],
[
'normErr'
],
[
'M'
])
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