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

Packages that use RealVector

Package	Description
fr.cnes.sirius.patrius.math.filter
fr.cnes.sirius.patrius.math.geometry.euclidean.threed
fr.cnes.sirius.patrius.math.linear
fr.cnes.sirius.patrius.math.optim.linear
fr.cnes.sirius.patrius.math.quadrature
fr.cnes.sirius.patrius.math.stat.regression

Uses of RealVector in fr.cnes.sirius.patrius.math.filter

Methods in fr.cnes.sirius.patrius.math.filter that return RealVector

Modifier and Type	Method and Description
RealVector	ProcessModel.getInitialStateEstimate() Returns the initial state estimation vector.
RealVector	DefaultProcessModel.getInitialStateEstimate() Returns the initial state estimation vector.
RealVector	KalmanFilter.getStateEstimationVector() Returns a copy of the current state estimation vector.

Methods in fr.cnes.sirius.patrius.math.filter with parameters of type RealVector

Modifier and Type	Method and Description
void	KalmanFilter.correct(RealVector z) Correct the current state estimate with an actual measurement.
void	KalmanFilter.predict(RealVector u) Predict the internal state estimation one time step ahead.

Constructors in fr.cnes.sirius.patrius.math.filter with parameters of type RealVector

Constructor and Description
DefaultProcessModel(RealMatrix stateTransition, RealMatrix control, RealMatrix processNoise, RealVector initialStateEstimate, RealMatrix initialErrorCovariance) Create a new ProcessModel, taking double arrays as input parameters.

Uses of RealVector in fr.cnes.sirius.patrius.math.geometry.euclidean.threed

Methods in fr.cnes.sirius.patrius.math.geometry.euclidean.threed that return RealVector

Modifier and Type	Method and Description
RealVector	Vector3D.getRealVector() Get a RealVector with identical data.

Constructors in fr.cnes.sirius.patrius.math.geometry.euclidean.threed with parameters of type RealVector

Constructor and Description
Vector3D(RealVector vector) From a RealVector constructor Build a vector from a RealVector object.

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

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

Modifier and Type	Class and Description
class	ArrayRealVector This class implements the RealVector interface with a double array.

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

Modifier and Type	Method and Description
RealVector	RealVector.add(RealVector v) Compute the sum of this vector and v.
RealVector	ArrayRealVector.append(double in) Construct a new vector by appending a double to this vector.
abstract RealVector	RealVector.append(double d) Construct a new vector by appending a double to this vector.
RealVector	ArrayRealVector.append(RealVector v) Construct a new vector by appending a vector to this vector.
abstract RealVector	RealVector.append(RealVector v) Construct a new vector by appending a vector to this vector.
RealVector	RealVector.combine(double a, double b, RealVector y) Returns a new vector representing a * this + b * y, the linear combination of this and y.
RealVector	RealVector.combineToSelf(double a, double b, RealVector y) Updates this with the linear combination of this and y.
abstract RealVector	RealVector.copy() Returns a (deep) copy of this vector.
static RealVector	MatrixUtils.createRealVector(double[] data) Creates a RealVector using the data from the input array.
RealVector	RealMatrix.getColumnVector(int column) Get the entries at the given column index as a vector.
RealVector	AbstractRealMatrix.getColumnVector(int column) Get the entries at the given column index as a vector.
RealVector	BlockRealMatrix.getColumnVector(int column) Get the entries at the given column index as a vector.
RealVector	EigenDecomposition.getEigenvector(int i) Gets a copy of the ith eigenvector of the original matrix.
RealVector	DefaultIterativeLinearSolverEvent.getResidual() Returns the residual.
RealVector	IterativeLinearSolverEvent.getResidual() Returns the residual.
RealVector	DefaultIterativeLinearSolverEvent.getRightHandSideVector() Returns the current right-hand side of the linear system to be solved.
abstract RealVector	IterativeLinearSolverEvent.getRightHandSideVector() Returns the current right-hand side of the linear system to be solved.
RealVector	RealMatrix.getRowVector(int row) Returns the entries in row number row as a vector.
RealVector	AbstractRealMatrix.getRowVector(int row) Returns the entries in row number row as a vector.
RealVector	BlockRealMatrix.getRowVector(int row) Returns the entries in row number row as a vector.
RealVector	DefaultIterativeLinearSolverEvent.getSolution() Returns the current estimate of the solution to the linear system to be solved.
abstract RealVector	IterativeLinearSolverEvent.getSolution() Returns the current estimate of the solution to the linear system to be solved.
RealVector	ArrayRealVector.getSubVector(int index, int n) Get a subvector from consecutive elements.
abstract RealVector	RealVector.getSubVector(int index, int n) Get a subvector from consecutive elements.
RealVector	RealVector.map(UnivariateFunction function) Acts as if implemented as:
RealVector	RealVector.mapAdd(double d) Add a value to each entry.
RealVector	ArrayRealVector.mapAddToSelf(double d) Add a value to each entry.
RealVector	RealVector.mapAddToSelf(double d) Add a value to each entry.
RealVector	RealVector.mapDivide(double d) Divide each entry by the argument.
RealVector	ArrayRealVector.mapDivideToSelf(double d) Divide each entry by the argument.
RealVector	RealVector.mapDivideToSelf(double d) Divide each entry by the argument.
RealVector	RealVector.mapMultiply(double d) Multiply each entry by the argument.
RealVector	ArrayRealVector.mapMultiplyToSelf(double d) Multiply each entry.
RealVector	RealVector.mapMultiplyToSelf(double d) Multiply each entry.
RealVector	RealVector.mapSubtract(double d) Subtract a value from each entry.
RealVector	ArrayRealVector.mapSubtractToSelf(double d) Subtract a value from each entry.
RealVector	RealVector.mapSubtractToSelf(double d) Subtract a value from each entry.
RealVector	RealVector.mapToSelf(UnivariateFunction function) Acts as if it is implemented as:
abstract RealVector	RealLinearOperator.operate(RealVector x) Returns the result of multiplying this by the vector x.
RealVector	RealMatrix.operate(RealVector v) Returns the result of multiplying this by the vector v.
RealVector	JacobiPreconditioner.operate(RealVector x) Returns the result of multiplying this by the vector x.
RealVector	AbstractRealMatrix.operate(RealVector v) Returns the result of multiplying this by the vector x.
RealVector	RealLinearOperator.operateTranspose(RealVector x) Returns the result of multiplying the transpose of this operator by the vector x (optional operation).
RealVector	RealMatrix.preMultiply(RealVector v) Returns the (row) vector result of premultiplying this by the vector v.
RealVector	AbstractRealMatrix.preMultiply(RealVector v) Returns the (row) vector result of premultiplying this by the vector v.
RealVector	RealVector.projection(RealVector v) Find the orthogonal projection of this vector onto another vector.
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) 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	PreconditionedIterativeLinearSolver.solve(RealLinearOperator a, RealLinearOperator m, RealVector b, RealVector x0) Returns an estimate of the solution to the linear system A · 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	IterativeLinearSolver.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) 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	PreconditionedIterativeLinearSolver.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	DecompositionSolver.solve(RealVector b) Solve the linear equation A × X = B for matrices A.
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) 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, 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	PreconditionedIterativeLinearSolver.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	RealVector.subtract(RealVector v) Subtract v from this vector.
RealVector	RealVector.unitVector() Creates a unit vector pointing in the direction of this vector.
static RealVector	RealVector.unmodifiableRealVector(RealVector v) Returns an unmodifiable view of the specified vector.

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

Modifier and Type	Method and Description
ArrayRealVector	ArrayRealVector.add(RealVector v) Compute the sum of this vector and v.
RealVector	RealVector.add(RealVector v) Compute the sum of this vector and v.
RealVector	ArrayRealVector.append(RealVector v) Construct a new vector by appending a vector to this vector.
abstract RealVector	RealVector.append(RealVector v) Construct a new vector by appending a vector to this vector.
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.
protected void	ArrayRealVector.checkVectorDimensions(RealVector v) Check if instance and specified vectors have the same dimension.
protected void	RealVector.checkVectorDimensions(RealVector v) Check if instance and specified vectors have the same dimension.
ArrayRealVector	ArrayRealVector.combine(double a, double b, RealVector y) Returns a new vector representing a * this + b * y, the linear combination of this and y.
RealVector	RealVector.combine(double a, double b, RealVector y) Returns a new vector representing a * this + b * y, the linear combination of this and y.
ArrayRealVector	ArrayRealVector.combineToSelf(double a, double b, RealVector y) Updates this with the linear combination of this and y.
RealVector	RealVector.combineToSelf(double a, double b, RealVector y) Updates this with the linear combination of this and y.
double	RealVector.cosine(RealVector v) Computes the cosine of the angle between this vector and the argument.
double	ArrayRealVector.dotProduct(RealVector v) Compute the dot product of this vector with v.
double	RealVector.dotProduct(RealVector v) Compute the dot product of this vector with v.
String	RealVectorFormat.format(RealVector v) This method calls RealVectorFormat.format(RealVector,StringBuffer,FieldPosition).
StringBuffer	RealVectorFormat.format(RealVector vector, StringBuffer toAppendTo, FieldPosition pos) Formats a RealVector object to produce a string.
double	ArrayRealVector.getDistance(RealVector v) Distance between two vectors.
double	RealVector.getDistance(RealVector v) Distance between two vectors.
double	ArrayRealVector.getL1Distance(RealVector v) Distance between two vectors.
double	RealVector.getL1Distance(RealVector v) Distance between two vectors.
double	ArrayRealVector.getLInfDistance(RealVector v) Distance between two vectors.
double	RealVector.getLInfDistance(RealVector v) Distance between two vectors.
abstract RealVector	RealLinearOperator.operate(RealVector x) Returns the result of multiplying this by the vector x.
RealVector	RealMatrix.operate(RealVector v) Returns the result of multiplying this by the vector v.
RealVector	JacobiPreconditioner.operate(RealVector x) Returns the result of multiplying this by the vector x.
RealVector	AbstractRealMatrix.operate(RealVector v) Returns the result of multiplying this by the vector x.
RealVector	RealLinearOperator.operateTranspose(RealVector x) Returns the result of multiplying the transpose of this operator by the vector x (optional operation).
RealMatrix	ArrayRealVector.outerProduct(RealVector v) Compute the outer product.
RealMatrix	RealVector.outerProduct(RealVector v) Compute the outer product.
RealVector	RealMatrix.preMultiply(RealVector v) Returns the (row) vector result of premultiplying this by the vector v.
RealVector	AbstractRealMatrix.preMultiply(RealVector v) Returns the (row) vector result of premultiplying this by the vector v.
RealVector	RealVector.projection(RealVector v) Find the orthogonal projection of this vector onto another vector.
static void	MatrixUtils.serializeRealVector(RealVector vector, ObjectOutputStream oos) Serialize a RealVector.
void	RealMatrix.setColumnVector(int column, RealVector vector) Sets the specified column of this matrix to the entries of the specified vector.
void	AbstractRealMatrix.setColumnVector(int column, RealVector vector) Sets the specified column of this matrix to the entries of the specified vector.
void	BlockRealMatrix.setColumnVector(int column, RealVector vector) Sets the specified column of this matrix to the entries of the specified vector.
void	RealMatrix.setRowVector(int row, RealVector vector) Sets the specified row of this matrix to the entries of the specified vector.
void	AbstractRealMatrix.setRowVector(int row, RealVector vector) Sets the specified row of this matrix to the entries of the specified vector.
void	BlockRealMatrix.setRowVector(int row, RealVector vector) Sets the specified row of this matrix to the entries of the specified vector.
void	ArrayRealVector.setSubVector(int index, RealVector v) Set a sequence of consecutive elements.
abstract void	RealVector.setSubVector(int index, RealVector v) Set a sequence of consecutive elements.
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) 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	PreconditionedIterativeLinearSolver.solve(RealLinearOperator a, RealLinearOperator m, RealVector b, RealVector x0) Returns an estimate of the solution to the linear system A · 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	IterativeLinearSolver.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) 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	PreconditionedIterativeLinearSolver.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	DecompositionSolver.solve(RealVector b) Solve the linear equation A × X = B for matrices A.
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) 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, 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	PreconditionedIterativeLinearSolver.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.
static void	MatrixUtils.solveLowerTriangularSystem(RealMatrix rm, RealVector b) Solve a system of composed of a Lower Triangular Matrix RealMatrix.
static void	MatrixUtils.solveUpperTriangularSystem(RealMatrix rm, RealVector b) Solver a system composed of an Upper Triangular Matrix RealMatrix.
ArrayRealVector	ArrayRealVector.subtract(RealVector v) Subtract v from this vector.
RealVector	RealVector.subtract(RealVector v) Subtract v from this vector.
static RealVector	RealVector.unmodifiableRealVector(RealVector v) Returns an unmodifiable view of the specified vector.

Constructors in fr.cnes.sirius.patrius.math.linear with parameters of type RealVector

Constructor and Description
ArrayRealVector(ArrayRealVector v1, RealVector v2) Construct a vector by appending one vector to another vector.
ArrayRealVector(RealVector v) Construct a vector from another vector, using a deep copy.
ArrayRealVector(RealVector v1, ArrayRealVector v2) Construct a vector by appending one vector to another vector.
DefaultIterativeLinearSolverEvent(Object source, int iterations, RealVector xIn, RealVector bIn, double rnormIn) Creates a new instance of this class.
DefaultIterativeLinearSolverEvent(Object source, int iterations, RealVector xIn, RealVector bIn, RealVector rIn, double rnormIn) Creates a new instance of this class.

Uses of RealVector in fr.cnes.sirius.patrius.math.optim.linear

Methods in fr.cnes.sirius.patrius.math.optim.linear that return RealVector

Modifier and Type	Method and Description
RealVector	LinearObjectiveFunction.getCoefficients() Gets the coefficients of the linear equation being optimized.
RealVector	LinearConstraint.getCoefficients() Gets the coefficients of the constraint (left hand side).

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

Modifier and Type	Method and Description
double	LinearObjectiveFunction.value(RealVector point) Computes the value of the linear equation at the current point.

Constructors in fr.cnes.sirius.patrius.math.optim.linear with parameters of type RealVector

Constructor and Description
LinearConstraint(RealVector lhsCoefficients, double lhsConstant, Relationship relationshipIn, RealVector rhsCoefficients, double rhsConstant) Build a constraint involving two linear equations.
LinearConstraint(RealVector coefficientsIn, Relationship relationshipIn, double valueIn) Build a constraint involving a single linear equation.
LinearObjectiveFunction(RealVector coefficientsIn, double constantTermIn)

Uses of RealVector in fr.cnes.sirius.patrius.math.quadrature

Methods in fr.cnes.sirius.patrius.math.quadrature that return RealVector

Modifier and Type	Method and Description
RealVector	LebedevGridPoint.getXYZ() Returns the grid point.

Uses of RealVector in fr.cnes.sirius.patrius.math.stat.regression

Methods in fr.cnes.sirius.patrius.math.stat.regression that return RealVector

Modifier and Type	Method and Description
protected abstract RealVector	AbstractMultipleLinearRegression.calculateBeta() Calculates the beta of multiple linear regression in matrix notation.
protected RealVector	OLSMultipleLinearRegression.calculateBeta() Calculates the regression coefficients using OLS.
protected RealVector	GLSMultipleLinearRegression.calculateBeta() Calculates beta by GLS.
protected RealVector	AbstractMultipleLinearRegression.calculateResiduals() Calculates the residuals of multiple linear regression in matrix notation.
protected RealVector	AbstractMultipleLinearRegression.getY()