Uses of Class
org.hipparchus.linear.RealVector

Packages that use RealVector

Package	Description
org.hipparchus.filtering.kalman	Kalman filter.
org.hipparchus.filtering.kalman.extended	Kalman filter implementation for non-linear processes.
org.hipparchus.filtering.kalman.linear	Kalman filter implementation for linear processes.
org.hipparchus.linear	Linear algebra support.
org.hipparchus.optim.linear	Optimization algorithms for linear constrained problems.
org.hipparchus.optim.nonlinear.vector.leastsquares	This package provides algorithms that minimize the residuals between observations and model values.
org.hipparchus.stat.regression	Statistical routines involving multivariate data.

Uses of RealVector in org.hipparchus.filtering.kalman

Methods in org.hipparchus.filtering.kalman that return RealVector

Modifier and Type	Method and Description
RealVector	ProcessEstimate.getState() Get the state vector.
RealVector	Measurement.getValue() Get the measurement vector.

Methods in org.hipparchus.filtering.kalman with parameters of type RealVector

Modifier and Type	Method and Description
protected void	AbstractKalmanFilter.correct(T measurement, RealMatrix stm, RealVector innovation, RealMatrix h, RealMatrix s) Perform correction step.
protected void	AbstractKalmanFilter.predict(double time, RealVector predictedState, RealMatrix stm, RealMatrix noise) Perform prediction step.

Constructors in org.hipparchus.filtering.kalman with parameters of type RealVector

Constructor and Description
ProcessEstimate(double time, RealVector state, RealMatrix covariance) Simple constructor.
ProcessEstimate(double time, RealVector state, RealMatrix covariance, RealMatrix stateTransitionMatrix, RealMatrix measurementJacobian, RealMatrix innovationCovariance, RealMatrix kalmanGain) Simple constructor.

Uses of RealVector in org.hipparchus.filtering.kalman.extended

Methods in org.hipparchus.filtering.kalman.extended that return RealVector

Modifier and Type	Method and Description
RealVector	NonLinearEvolution.getCurrentState() Get current state.
RealVector	NonLinearProcess.getInnovation(T measurement, NonLinearEvolution evolution, RealMatrix innovationCovarianceMatrix) Get the innovation brought by a measurement.

Methods in org.hipparchus.filtering.kalman.extended with parameters of type RealVector

Modifier and Type	Method and Description
NonLinearEvolution	NonLinearProcess.getEvolution(double previousTime, RealVector previousState, T measurement) Get the state evolution between two times.

Constructors in org.hipparchus.filtering.kalman.extended with parameters of type RealVector

Constructor and Description
NonLinearEvolution(double currentTime, RealVector currentState, RealMatrix stateTransitionMatrix, RealMatrix processNoiseMatrix, RealMatrix measurementJacobian) Simple constructor.

Uses of RealVector in org.hipparchus.filtering.kalman.linear

Methods in org.hipparchus.filtering.kalman.linear that return RealVector

Modifier and Type	Method and Description
RealVector	LinearEvolution.getCommand() Get the command uk-1.

Constructors in org.hipparchus.filtering.kalman.linear with parameters of type RealVector

Constructor and Description
LinearEvolution(RealMatrix stateTransitionMatrix, RealMatrix controlMatrix, RealVector command, RealMatrix processNoiseMatrix, RealMatrix measurementJacobian) Simple constructor.

Uses of RealVector in org.hipparchus.linear

Subclasses of RealVector in org.hipparchus.linear

Modifier and Type	Class and Description
class	ArrayRealVector This class implements the RealVector interface with a double array.
class	OpenMapRealVector This class implements the RealVector interface with a OpenIntToDoubleHashMap backing store.
class	SparseRealVector Marker class for RealVectors that require sparse backing storage

Methods in org.hipparchus.linear that return RealVector

Modifier and Type	Method and Description
RealVector	RealVector.add(RealVector v) Compute the sum of this vector and v.
RealVector	OpenMapRealVector.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.
static RealVector	MatrixUtils.createRealVector(int dimension) Creates a RealVector with specified dimensions.
abstract RealVector	RealVector.ebeDivide(RealVector v) Element-by-element division.
abstract RealVector	RealVector.ebeMultiply(RealVector v) Element-by-element multiplication.
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	IterativeLinearSolverEvent.getResidual() Returns the residual.
RealVector	DefaultIterativeLinearSolverEvent.getResidual() Returns the residual.
abstract RealVector	IterativeLinearSolverEvent.getRightHandSideVector() Returns the current right-hand side of the linear system to be solved.
RealVector	DefaultIterativeLinearSolverEvent.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.
abstract RealVector	IterativeLinearSolverEvent.getSolution() Returns the current estimate of the solution to the linear system to be solved.
RealVector	DefaultIterativeLinearSolverEvent.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:
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 v.
RealVector	RealLinearOperator.operate(RealVector x) Returns the result of multiplying this by the vector x.
default 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	DiagonalMatrix.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	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	SymmLQ.solve(RealLinearOperator a, RealVector b) 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, boolean goodb, double shift) Returns the solution to the system (A - shift · I) · 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	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	DecompositionSolver.solve(RealVector b) Solve the linear equation A × X = B for matrices A.
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	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.
RealVector	SymmLQ.solveInPlace(RealLinearOperator a, RealVector b, RealVector x) Returns an estimate of the solution to the linear system A · 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	RealVector.subtract(RealVector v) Subtract v from this vector.
RealVector	OpenMapRealVector.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 org.hipparchus.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	OpenMapRealVector.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.
OpenMapRealVector	OpenMapRealVector.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.
ArrayRealVector	ArrayRealVector.ebeDivide(RealVector v) Element-by-element division.
abstract RealVector	RealVector.ebeDivide(RealVector v) Element-by-element division.
OpenMapRealVector	OpenMapRealVector.ebeDivide(RealVector v) Element-by-element division.
ArrayRealVector	ArrayRealVector.ebeMultiply(RealVector v) Element-by-element multiplication.
abstract RealVector	RealVector.ebeMultiply(RealVector v) Element-by-element multiplication.
OpenMapRealVector	OpenMapRealVector.ebeMultiply(RealVector v) Element-by-element multiplication.
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	OpenMapRealVector.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	OpenMapRealVector.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.
double	OpenMapRealVector.getLInfDistance(RealVector v) Distance between two vectors.
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 v.
RealVector	RealLinearOperator.operate(RealVector x) Returns the result of multiplying this by the vector x.
default 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	DiagonalMatrix.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.
void	OpenMapRealVector.setSubVector(int index, RealVector v) Set a sequence of consecutive elements.
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	SymmLQ.solve(RealLinearOperator a, RealVector b) 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, boolean goodb, double shift) Returns the solution to the system (A - shift · I) · 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	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	DecompositionSolver.solve(RealVector b) Solve the linear equation A × X = B for matrices A.
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	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.
RealVector	SymmLQ.solveInPlace(RealLinearOperator a, RealVector b, RealVector x) Returns an estimate of the solution to the linear system A · 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.
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.
RealVector	OpenMapRealVector.subtract(RealVector v) Subtract v from this vector.
static RealVector	RealVector.unmodifiableRealVector(RealVector v) Returns an unmodifiable view of the specified vector.

Constructors in org.hipparchus.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 x, RealVector b, double rnorm) Creates a new instance of this class.
DefaultIterativeLinearSolverEvent(Object source, int iterations, RealVector x, RealVector b, RealVector r, double rnorm) Creates a new instance of this class.
OpenMapRealVector(RealVector v) Generic copy constructor.

Uses of RealVector in org.hipparchus.optim.linear

Methods in org.hipparchus.optim.linear that return RealVector

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

Methods in org.hipparchus.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 org.hipparchus.optim.linear with parameters of type RealVector

Constructor and Description
LinearConstraint(RealVector lhsCoefficients, double lhsConstant, Relationship relationship, RealVector rhsCoefficients, double rhsConstant) Build a constraint involving two linear equations.
LinearConstraint(RealVector coefficients, Relationship relationship, double value) Build a constraint involving a single linear equation.
LinearObjectiveFunction(RealVector coefficients, double constantTerm)

Uses of RealVector in org.hipparchus.optim.nonlinear.vector.leastsquares

Methods in org.hipparchus.optim.nonlinear.vector.leastsquares that return RealVector

Modifier and Type	Method and Description
RealVector	ValueAndJacobianFunction.computeValue(double[] params) Compute the value.
RealVector	LeastSquaresProblem.Evaluation.getPoint() Get the abscissa (independent variables) of this evaluation.
RealVector	LeastSquaresProblem.Evaluation.getResiduals() Get the weighted residuals.
RealVector	LeastSquaresProblem.Evaluation.getSigma(double covarianceSingularityThreshold) Get an estimate of the standard deviation of the parameters.
RealVector	AbstractEvaluation.getSigma(double covarianceSingularityThreshold) Get an estimate of the standard deviation of the parameters.
RealVector	LeastSquaresProblem.getStart() Gets the initial guess.
RealVector	LeastSquaresAdapter.getStart() Gets the initial guess.
RealVector	ParameterValidator.validate(RealVector params) Validates the set of parameters.

Methods in org.hipparchus.optim.nonlinear.vector.leastsquares that return types with arguments of type RealVector

Modifier and Type	Method and Description
Pair<RealVector,RealMatrix>	MultivariateJacobianFunction.value(RealVector point) Compute the function value and its Jacobian.

Methods in org.hipparchus.optim.nonlinear.vector.leastsquares with parameters of type RealVector

Modifier and Type	Method and Description
static LeastSquaresProblem	LeastSquaresFactory.create(MultivariateJacobianFunction model, RealVector observed, RealVector start, ConvergenceChecker<LeastSquaresProblem.Evaluation> checker, int maxEvaluations, int maxIterations) Create a LeastSquaresProblem from the given elements.
static LeastSquaresProblem	LeastSquaresFactory.create(MultivariateJacobianFunction model, RealVector observed, RealVector start, RealMatrix weight, ConvergenceChecker<LeastSquaresProblem.Evaluation> checker, int maxEvaluations, int maxIterations) Create a LeastSquaresProblem from the given elements.
static LeastSquaresProblem	LeastSquaresFactory.create(MultivariateJacobianFunction model, RealVector observed, RealVector start, RealMatrix weight, ConvergenceChecker<LeastSquaresProblem.Evaluation> checker, int maxEvaluations, int maxIterations, boolean lazyEvaluation, ParameterValidator paramValidator) Create a LeastSquaresProblem from the given elements.
LeastSquaresProblem.Evaluation	LeastSquaresProblem.evaluate(RealVector point) Evaluate the model at the specified point.
LeastSquaresProblem.Evaluation	LeastSquaresAdapter.evaluate(RealVector point) Evaluate the model at the specified point.
LeastSquaresBuilder	LeastSquaresBuilder.start(RealVector newStart) Configure the initial guess.
LeastSquaresBuilder	LeastSquaresBuilder.target(RealVector newTarget) Configure the observed data.
RealVector	ParameterValidator.validate(RealVector params) Validates the set of parameters.
Pair<RealVector,RealMatrix>	MultivariateJacobianFunction.value(RealVector point) Compute the function value and its Jacobian.
static LeastSquaresProblem	LeastSquaresFactory.weightDiagonal(LeastSquaresProblem problem, RealVector weights) Apply a diagonal weight matrix to the LeastSquaresProblem.
SequentialGaussNewtonOptimizer	SequentialGaussNewtonOptimizer.withAPrioriData(RealVector aPrioriState, RealMatrix aPrioriCovariance) Configure from a priori state and covariance.

Uses of RealVector in org.hipparchus.stat.regression

Methods in org.hipparchus.stat.regression that return RealVector

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