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AdamsMoulton.cpp
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Fri, Oct 4, 07:43
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R9686 PCSCproject
AdamsMoulton.cpp
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#include <Eigen/Dense>
#include "AdamsMoulton.h"
AdamsMoulton
::
AdamsMoulton
()
:
MultistepAbstractSolver
(){
};
AdamsMoulton
::
AdamsMoulton
(
double
t0
,
double
tf
,
int
n
,
int
steps
,
Eigen
::
VectorXd
&
y0
)
:
MultistepAbstractSolver
(
t0
,
tf
,
n
,
steps
,
y0
){
convergenceRate
=
steps
+
1
;
};
void
AdamsMoulton
::
setStepsAlgo
(
int
n
){
stepsAlgo
=
n
;
convergenceRate
=
n
+
1
;
setBCoeff
();
}
void
AdamsMoulton
::
setBCoeff
()
{
bCoefficients
.
resize
(
stepsAlgo
+
1
);
switch
(
stepsAlgo
){
case
1
:
bCoefficients
[
0
]
=
0.5
,
bCoefficients
[
1
]
=
0.5
;
break
;
case
2
:
bCoefficients
[
0
]
=
-
1.
/
12.
,
bCoefficients
[
1
]
=
8.
/
12.
,
bCoefficients
[
2
]
=
5.
/
12.
;
break
;
case
3
:
bCoefficients
[
0
]
=
1.
/
24.
,
bCoefficients
[
1
]
=-
5.
/
24.
,
bCoefficients
[
2
]
=
19.
/
24.
,
bCoefficients
[
3
]
=
9.
/
24.
;
break
;
case
4
:
bCoefficients
[
0
]
=-
19.
/
720.
,
bCoefficients
[
1
]
=
106.
/
720.
,
bCoefficients
[
2
]
=
-
264.
/
720.
,
bCoefficients
[
3
]
=
646.
/
720.
,
bCoefficients
[
4
]
=
251.
/
720.
;
break
;
default
:
throw
std
::
runtime_error
(
"The number of steps of Adams Moulton has to be an integer between 1 and 4."
);
}
}
void
AdamsMoulton
::
setRightHandSide
(
Eigen
::
MatrixXd
&
rhsMatrix
,
Eigen
::
VectorXd
(
*
g_
)(
double
t
)){
// Method of AbstractSolver mother class is called.
AbstractSolver
::
setRightHandSide
(
rhsMatrix
,
*
g_
);
// Matrix I is needed to compute matrix defining iterations of Adams Moulton.
Eigen
::
MatrixXd
I
=
Eigen
::
MatrixXd
::
Identity
(
dimension
,
dimension
);
// The coefficients defining the method are set.
setBCoeff
();
//The matrix updateMatrix involved in the computation of the next step value of y is computed.
int
s
=
bCoefficients
.
size
();
double
d
=
bCoefficients
[
s
-
1
]
*
stepSize
;
updateMatrix
=
I
-
d
*
A
;
};
void
AdamsMoulton
::
setRightHandSide
(
Eigen
::
MatrixXd
&
rhsMatrix
,
std
::
function
<
Eigen
::
VectorXd
(
double
)
>
g_
){
AbstractSolver
::
setRightHandSide
(
rhsMatrix
,
g_
);
Eigen
::
MatrixXd
I
=
Eigen
::
MatrixXd
::
Identity
(
dimension
,
dimension
);
setBCoeff
();
int
s
=
bCoefficients
.
size
();
double
d
=
bCoefficients
[
s
-
1
]
*
stepSize
;
updateMatrix
=
I
-
d
*
A
;
};
void
AdamsMoulton
::
step
(
Eigen
::
VectorXd
&
y
,
double
t
){
// rhsVector of the system to be solved at the current step is computed
Eigen
::
VectorXd
rhsVector
(
dimension
);
int
s
=
bCoefficients
.
size
();
rhsVector
=
y
+
stepSize
*
bCoefficients
[
s
-
1
]
*
g
(
t
+
stepSize
);
int
count
=
0
;
auto
it
=
rhsPreviousSteps
.
begin
();
for
(
it
=
rhsPreviousSteps
.
begin
();
it
!=
rhsPreviousSteps
.
end
();
it
++
){
rhsVector
+=
(
*
it
)
*
bCoefficients
[
count
]
*
stepSize
;
count
++
;
}
// Solution at next time step is computed.
Eigen
::
VectorXd
yNext
=
updateMatrix
.
lu
().
solve
(
rhsVector
);
// The value of the rhs function at the next time step is computed and stored in rhsPreviousSteps.
Eigen
::
VectorXd
rhsNext
=
A
*
yNext
+
g
(
t
+
stepSize
);
rhsPreviousSteps
.
push_back
(
rhsNext
);
// The first value of the list rhsPreviousSteps is not needed for the next integration step, so it is discarded.
rhsPreviousSteps
.
pop_front
();
//update of y
y
=
yNext
;
};
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