Uses of Class
fr.cnes.sirius.patrius.math.linear.RealLinearOperator

Packages that use RealLinearOperator

Package	Description
fr.cnes.sirius.patrius.math.linear

Uses of RealLinearOperator in fr.cnes.sirius.patrius.math.linear

Subclasses of RealLinearOperator in fr.cnes.sirius.patrius.math.linear

Modifier and Type	Class and Description
class	AbstractRealMatrix Basic implementation of RealMatrix methods regardless of the underlying storage.
class	Array2DRowRealMatrix Implementation of RealMatrix using a double[][] array to store entries.
class	ArrayRowSymmetricMatrix Symmetric matrix defined by its lower triangular part.
class	BlockRealMatrix Cache-friendly implementation of RealMatrix using a flat arrays to store square blocks of the matrix.
class	DecomposedSymmetricPositiveMatrix Stores a symmetric positive semi-definite matrix as A = B×BT.
class	DiagonalMatrix Implementation of a diagonal matrix.
class	JacobiPreconditioner This class implements the standard Jacobi (diagonal) preconditioner.

Methods in fr.cnes.sirius.patrius.math.linear that return RealLinearOperator

Modifier and Type	Method and Description
RealLinearOperator	JacobiPreconditioner.sqrt() Returns the square root of this diagonal operator.

Methods in fr.cnes.sirius.patrius.math.linear with parameters of type RealLinearOperator

Modifier and Type	Method and Description
protected static void	PreconditionedIterativeLinearSolver.checkParameters(RealLinearOperator a, RealLinearOperator m, RealVector b, RealVector x0) Performs all dimension checks on the parameters of solve and solveInPlace, and throws an exception if one of the checks fails.
protected static void	IterativeLinearSolver.checkParameters(RealLinearOperator a, RealVector b, RealVector x0) Performs all dimension checks on the parameters of solve and solveInPlace, and throws an exception if one of the checks fails.
static JacobiPreconditioner	JacobiPreconditioner.create(RealLinearOperator a) Creates a new instance of this class.
RealVector	SymmLQ.solve(RealLinearOperator a, RealLinearOperator m, RealVector b) Returns an estimate of the solution to the linear system A · x = b.
RealVector	PreconditionedIterativeLinearSolver.solve(RealLinearOperator a, RealLinearOperator m, RealVector b) Returns an estimate of the solution to the linear system A · x = b.
RealVector	SymmLQ.solve(RealLinearOperator a, RealLinearOperator m, RealVector b, boolean goodb, double shift) Returns an estimate of the solution to the linear system (A - shift · I) · x = b.
RealVector	SymmLQ.solve(RealLinearOperator a, RealLinearOperator m, RealVector b, RealVector x) Returns an estimate of the solution to the linear system A · x = b.
RealVector	PreconditionedIterativeLinearSolver.solve(RealLinearOperator a, RealLinearOperator m, RealVector b, RealVector x0) Returns an estimate of the solution to the linear system A · x = b.
RealVector	IterativeLinearSolver.solve(RealLinearOperator a, RealVector b) Returns an estimate of the solution to the linear system A · x = b.
RealVector	SymmLQ.solve(RealLinearOperator a, RealVector b) Returns an estimate of the solution to the linear system A · x = b.
RealVector	PreconditionedIterativeLinearSolver.solve(RealLinearOperator a, RealVector b) Returns an estimate of the solution to the linear system A · x = b.
RealVector	SymmLQ.solve(RealLinearOperator a, RealVector b, boolean goodb, double shift) Returns the solution to the system (A - shift · I) · x = b.
RealVector	IterativeLinearSolver.solve(RealLinearOperator a, RealVector b, RealVector x0) Returns an estimate of the solution to the linear system A · x = b.
RealVector	SymmLQ.solve(RealLinearOperator a, RealVector b, RealVector x) Returns an estimate of the solution to the linear system A · x = b.
RealVector	PreconditionedIterativeLinearSolver.solve(RealLinearOperator a, RealVector b, RealVector x0) Returns an estimate of the solution to the linear system A · x = b.
RealVector	ConjugateGradient.solveInPlace(RealLinearOperator a, RealLinearOperator m, RealVector b, RealVector x0) Returns an estimate of the solution to the linear system A · x = b.
RealVector	SymmLQ.solveInPlace(RealLinearOperator a, RealLinearOperator m, RealVector b, RealVector x) Returns an estimate of the solution to the linear system A · x = b.
abstract RealVector	PreconditionedIterativeLinearSolver.solveInPlace(RealLinearOperator a, RealLinearOperator m, RealVector b, RealVector x0) Returns an estimate of the solution to the linear system A · x = b.
RealVector	SymmLQ.solveInPlace(RealLinearOperator a, RealLinearOperator m, RealVector b, RealVector x, boolean goodb, double shift) Returns an estimate of the solution to the linear system (A - shift · I) · x = b.
abstract RealVector	IterativeLinearSolver.solveInPlace(RealLinearOperator a, RealVector b, RealVector x0) Returns an estimate of the solution to the linear system A · x = b.
RealVector	SymmLQ.solveInPlace(RealLinearOperator a, RealVector b, RealVector x) Returns an estimate of the solution to the linear system A · x = b.
RealVector	PreconditionedIterativeLinearSolver.solveInPlace(RealLinearOperator a, RealVector b, RealVector x0) Returns an estimate of the solution to the linear system A · x = b.