Package org.hipparchus.linear

Class JacobiPreconditioner

java.lang.Object

org.hipparchus.linear.JacobiPreconditioner

All Implemented Interfaces:

RealLinearOperator

public class JacobiPreconditioner
extends Object
implements RealLinearOperator

This class implements the standard Jacobi (diagonal) preconditioner. For a matrix A_ij, this preconditioner is M = diag(1 / A₁₁, 1 / A₂₂, …).

Constructor Summary

Constructors

Constructor	Description
JacobiPreconditioner(double[] diag, boolean deep)	Creates a new instance of this class.

Method Summary

Modifier and Type	Method	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 this by the vector x.
RealLinearOperator	sqrt()	Returns the square root of this diagonal operator.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.hipparchus.linear.RealLinearOperator

isTransposable, operateTranspose

Constructor Details

JacobiPreconditioner

public JacobiPreconditioner(double[] diag,
 boolean deep)

Creates a new instance of this class.

Parameters:

diag - the diagonal coefficients of the linear operator to be preconditioned

deep - true if a deep copy of the above array should be performed

Method Details

create

public static JacobiPreconditioner create(RealLinearOperator a)
                                   throws MathIllegalArgumentException

Creates a new instance of this class. This method extracts the diagonal coefficients of the specified linear operator. If 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.

Parameters:

a - the linear operator for which the preconditioner should be built

Returns:

the diagonal preconditioner made of the inverse of the diagonal coefficients of the specified linear operator

Throws:

MathIllegalArgumentException - if a is not square

getColumnDimension

public int getColumnDimension()

Returns the dimension of the domain of this operator.

Specified by:

getColumnDimension in interface RealLinearOperator

Returns:

the number of columns of the underlying matrix

getRowDimension

public int getRowDimension()

Returns the dimension of the codomain of this operator.

Specified by:

getRowDimension in interface RealLinearOperator

Returns:

the number of rows of the underlying matrix

operate

public RealVector operate(RealVector x)

Returns the result of multiplying this by the vector x.

Specified by:

operate in interface RealLinearOperator

Parameters:

x - the vector to operate on

Returns:

the product of this instance with x

sqrt

public RealLinearOperator sqrt()

Returns the square root of this diagonal operator. More precisely, this method returns P = diag(1 / √A₁₁, 1 / √A₂₂, …).

Returns:

the square root of this preconditioner