public class JacobiPreconditioner extends RealLinearOperator
Constructor and Description |
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JacobiPreconditioner(double[] diagIn,
boolean deep)
Creates a new instance of this class.
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Modifier and Type | Method and Description |
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static JacobiPreconditioner |
create(RealLinearOperator a)
Creates a new instance of this class.
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int |
getColumnDimension()
Returns the dimension of the domain of this operator.
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int |
getRowDimension()
Returns the dimension of the codomain of this operator.
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RealVector |
operate(RealVector x)
Returns the result of multiplying
this by the vector x . |
RealLinearOperator |
sqrt()
Returns the square root of
this diagonal operator. |
isTransposable, operateTranspose
public JacobiPreconditioner(double[] diagIn, boolean deep)
diagIn
- the diagonal coefficients of the linear operator to be
preconditioneddeep
- true
if a deep copy of the above array should be
performedpublic static JacobiPreconditioner create(RealLinearOperator a)
a
does not
extend AbstractRealMatrix
, then the coefficients of the
underlying matrix are not accessible, coefficient extraction is made by
matrix-vector products with the basis vectors (and might therefore take
some time). With matrices, direct entry access is carried out.a
- the linear operator for which the preconditioner should be builtNonSquareOperatorException
- if a
is not squarepublic int getColumnDimension()
getColumnDimension
in class RealLinearOperator
public int getRowDimension()
getRowDimension
in class RealLinearOperator
public RealVector operate(RealVector x)
this
by the vector x
.operate
in class RealLinearOperator
x
- the vector to operate onthis
instance with x
public RealLinearOperator sqrt()
this
diagonal operator. More
precisely, this method returns
P = diag(1 / √A11, 1 / √A22, …).this
preconditionerCopyright © 2021 CNES. All rights reserved.