public class JacobiPreconditioner extends RealLinearOperator
| Constructor and Description | 
|---|
| JacobiPreconditioner(double[] diag,
                    boolean deep)Creates a new instance of this class. | 
| Modifier and Type | Method and Description | 
|---|---|
| static JacobiPreconditioner | create(RealLinearOperator a)Creates a new instance of this class. | 
| int | getColumnDimension()Returns the dimension of the domain of this operator. | 
| int | getRowDimension()Returns the dimension of the codomain of this operator. | 
| RealVector | operate(RealVector x)Returns the result of multiplying  thisby the vectorx. | 
| RealLinearOperator | sqrt()Returns the square root of  thisdiagonal operator. | 
isTransposable, operateTransposepublic JacobiPreconditioner(double[] diag,
                    boolean deep)
diag - 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) throws NonSquareOperatorException
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 RealLinearOperatorpublic int getRowDimension()
getRowDimension in class RealLinearOperatorpublic RealVector operate(RealVector x)
this by the vector x.operate in class RealLinearOperatorx - the vector to operate onthis instance with xpublic RealLinearOperator sqrt()
this diagonal operator. More
 precisely, this method returns
 P = diag(1 / √A11, 1 / √A22, …).this preconditionerCopyright © 2003–2016 The Apache Software Foundation. All rights reserved.