Uses of Class
org.apache.commons.math.linear.RealVector

Packages that use RealVector

org.apache.commons.math.filter	Implementations of common discrete-time linear filters.
org.apache.commons.math.linear	Linear algebra support.
org.apache.commons.math.optimization.linear	This package provides optimization algorithms for linear constrained problems.
org.apache.commons.math.stat.regression	Statistical routines involving multivariate data.

Uses of RealVector in org.apache.commons.math.filter

Methods in org.apache.commons.math.filter that return RealVector

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 org.apache.commons.math.filter with parameters of type RealVector

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 org.apache.commons.math.filter with parameters of type RealVector

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 org.apache.commons.math.linear

Subclasses of RealVector in org.apache.commons.math.linear

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.apache.commons.math.linear that return RealVector

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.
abstract RealVector	RealVector.append(double d) Construct a new vector by appending a double to this vector.
RealVector	ArrayRealVector.append(double in) Construct a new vector by appending a double to this vector.
abstract RealVector	RealVector.append(RealVector v) Construct a new vector by appending a vector to this vector.
RealVector	ArrayRealVector.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.
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	BlockRealMatrix.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	EigenDecomposition.getEigenvector(int i) Returns a copy of the ith eigenvector of the original matrix.
RealVector	ProvidesResidual.getResidual() Returns the current value of the residual.
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	BlockRealMatrix.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.
abstract RealVector	IterativeLinearSolverEvent.getSolution() Returns the current estimate of the solution to the linear system to be solved.
abstract RealVector	RealVector.getSubVector(int index, int n) Get a subvector from consecutive elements.
RealVector	ArrayRealVector.getSubVector(int index, int n) Get a subvector from consecutive elements.
RealVector	RealVector.map(UnivariateRealFunction function) Acts as if implemented as: return copy().mapToSelf(function); Returns a new vector.
RealVector	RealVector.mapAdd(double d) Add a value to each entry.
RealVector	RealVector.mapAddToSelf(double d) Add a value to each entry.
RealVector	ArrayRealVector.mapAddToSelf(double d) Add a value to each entry.
RealVector	RealVector.mapDivide(double d) Divide each entry by the argument.
RealVector	RealVector.mapDivideToSelf(double d) Divide each entry by the argument.
RealVector	ArrayRealVector.mapDivideToSelf(double d) Divide each entry by the argument.
RealVector	RealVector.mapMultiply(double d) Multiply each entry by the argument.
RealVector	RealVector.mapMultiplyToSelf(double d) Multiply each entry.
RealVector	ArrayRealVector.mapMultiplyToSelf(double d) Multiply each entry.
RealVector	RealVector.mapSubtract(double d) Subtract a value from each entry.
RealVector	RealVector.mapSubtractToSelf(double d) Subtract a value from each entry.
RealVector	ArrayRealVector.mapSubtractToSelf(double d) Subtract a value from each entry.
RealVector	RealVector.mapToSelf(UnivariateRealFunction function) Acts as if it is implemented as: Entry e = null; for(Iterator it = iterator(); it.hasNext(); e = it.next()) { e.setValue(function.value(e.getValue())); } Entries of this vector are modified in-place by this method.
RealVector	RealMatrix.operate(RealVector v) Returns the result of multiplying this by the vector v.
abstract RealVector	RealLinearOperator.operate(RealVector x) Returns the result of multiplying this by the vector x.
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	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.
abstract RealVector	RealVector.projection(RealVector v) Find the orthogonal projection of this vector onto another vector.
RealVector	OpenMapRealVector.projection(RealVector v) Find the orthogonal projection of this vector onto another vector.
RealVector	ArrayRealVector.projection(RealVector v) Find the orthogonal projection of this vector onto another vector.
RealVector	SymmLQ.solve(RealLinearOperator a, InvertibleRealLinearOperator m, RealVector b) Returns an estimate of the solution to the linear system A · x = b.
RealVector	PreconditionedIterativeLinearSolver.solve(RealLinearOperator a, InvertibleRealLinearOperator m, RealVector b) Returns an estimate of the solution to the linear system A · x = b.
RealVector	SymmLQ.solve(RealLinearOperator a, InvertibleRealLinearOperator 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, InvertibleRealLinearOperator m, RealVector b, RealVector x) Returns an estimate of the solution to the linear system A · x = b.
RealVector	PreconditionedIterativeLinearSolver.solve(RealLinearOperator a, InvertibleRealLinearOperator 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	PreconditionedIterativeLinearSolver.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	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	PreconditionedIterativeLinearSolver.solve(RealLinearOperator a, RealVector b, RealVector x0) 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	JacobiPreconditioner.solve(RealVector b) Computes the matrix-vector product of the inverse of this instance with b and returns the result.
abstract RealVector	InvertibleRealLinearOperator.solve(RealVector b) Computes the matrix-vector product of the inverse of this instance with b and returns the result.
RealVector	DecompositionSolver.solve(RealVector b) Solve the linear equation A × X = B for matrices A.
RealVector	SymmLQ.solveInPlace(RealLinearOperator a, InvertibleRealLinearOperator m, RealVector b, RealVector x) Returns an estimate of the solution to the linear system A · x = b.
abstract RealVector	PreconditionedIterativeLinearSolver.solveInPlace(RealLinearOperator a, InvertibleRealLinearOperator m, RealVector b, RealVector x0) Returns an estimate of the solution to the linear system A · x = b.
RealVector	ConjugateGradient.solveInPlace(RealLinearOperator a, InvertibleRealLinearOperator m, RealVector b, RealVector x0) Returns an estimate of the solution to the linear system A · x = b.
RealVector	SymmLQ.solveInPlace(RealLinearOperator a, InvertibleRealLinearOperator 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.
RealVector	PreconditionedIterativeLinearSolver.solveInPlace(RealLinearOperator a, RealVector b, RealVector x0) 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	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.
RealVector	ArrayRealVector.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.apache.commons.math.linear with parameters of type RealVector

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.
ArrayRealVector	ArrayRealVector.add(RealVector v) Compute the sum of this vector and v.
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.
RealVector	ArrayRealVector.append(RealVector v) Construct a new vector by appending a vector to this vector.
protected static void	PreconditionedIterativeLinearSolver.checkParameters(RealLinearOperator a, InvertibleRealLinearOperator 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	RealVector.checkVectorDimensions(RealVector v) Check if instance and specified vectors have the same dimension.
protected void	ArrayRealVector.checkVectorDimensions(RealVector v) Check if instance and specified vectors have the same dimension.
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.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.
ArrayRealVector	ArrayRealVector.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	RealVector.dotProduct(RealVector v) Compute the dot product of this vector with v.
double	OpenMapRealVector.dotProduct(RealVector v) Compute the dot product of this vector with v.
double	ArrayRealVector.dotProduct(RealVector v) Compute the dot product of this vector with v.
abstract RealVector	RealVector.ebeDivide(RealVector v) Element-by-element division.
OpenMapRealVector	OpenMapRealVector.ebeDivide(RealVector v) Element-by-element division.
ArrayRealVector	ArrayRealVector.ebeDivide(RealVector v) Element-by-element division.
abstract RealVector	RealVector.ebeMultiply(RealVector v) Element-by-element multiplication.
OpenMapRealVector	OpenMapRealVector.ebeMultiply(RealVector v) Element-by-element multiplication.
ArrayRealVector	ArrayRealVector.ebeMultiply(RealVector v) Element-by-element multiplication.
java.lang.String	RealVectorFormat.format(RealVector v) This method calls RealVectorFormat.format(RealVector,StringBuffer,FieldPosition).
java.lang.StringBuffer	RealVectorFormat.format(RealVector vector, java.lang.StringBuffer toAppendTo, java.text.FieldPosition pos) Formats a RealVector object to produce a string.
double	RealVector.getDistance(RealVector v) Distance between two vectors.
double	OpenMapRealVector.getDistance(RealVector v) Distance between two vectors.
double	ArrayRealVector.getDistance(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.getL1Distance(RealVector v) Distance between two vectors.
double	RealVector.getLInfDistance(RealVector v) Distance between two vectors.
double	OpenMapRealVector.getLInfDistance(RealVector v) Distance between two vectors.
double	ArrayRealVector.getLInfDistance(RealVector v) Distance between two vectors.
RealVector	RealMatrix.operate(RealVector v) Returns the result of multiplying this by the vector v.
abstract RealVector	RealLinearOperator.operate(RealVector x) Returns the result of multiplying this by the vector x.
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.
RealMatrix	RealVector.outerProduct(RealVector v) Compute the outer product.
RealMatrix	ArrayRealVector.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.
abstract RealVector	RealVector.projection(RealVector v) Find the orthogonal projection of this vector onto another vector.
RealVector	OpenMapRealVector.projection(RealVector v) Find the orthogonal projection of this vector onto another vector.
RealVector	ArrayRealVector.projection(RealVector v) Find the orthogonal projection of this vector onto another vector.
static void	MatrixUtils.serializeRealVector(RealVector vector, java.io.ObjectOutputStream oos) Serialize a RealVector.
void	RealMatrix.setColumnVector(int column, RealVector vector) Set the entries at the given column index as a vector.
void	BlockRealMatrix.setColumnVector(int column, RealVector vector) Set the entries at the given column index as a vector.
void	AbstractRealMatrix.setColumnVector(int column, RealVector vector) Set the entries at the given column index as a vector.
void	RealMatrix.setRowVector(int row, RealVector vector) Set the entries at the given row index.
void	BlockRealMatrix.setRowVector(int row, RealVector vector) Set the entries at the given row index.
void	AbstractRealMatrix.setRowVector(int row, RealVector vector) Set the entries at the given row index.
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.
void	ArrayRealVector.setSubVector(int index, RealVector v) Set a sequence of consecutive elements.
RealVector	SymmLQ.solve(RealLinearOperator a, InvertibleRealLinearOperator m, RealVector b) Returns an estimate of the solution to the linear system A · x = b.
RealVector	PreconditionedIterativeLinearSolver.solve(RealLinearOperator a, InvertibleRealLinearOperator m, RealVector b) Returns an estimate of the solution to the linear system A · x = b.
RealVector	SymmLQ.solve(RealLinearOperator a, InvertibleRealLinearOperator 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, InvertibleRealLinearOperator m, RealVector b, RealVector x) Returns an estimate of the solution to the linear system A · x = b.
RealVector	PreconditionedIterativeLinearSolver.solve(RealLinearOperator a, InvertibleRealLinearOperator 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	PreconditionedIterativeLinearSolver.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	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	PreconditionedIterativeLinearSolver.solve(RealLinearOperator a, RealVector b, RealVector x0) 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	JacobiPreconditioner.solve(RealVector b) Computes the matrix-vector product of the inverse of this instance with b and returns the result.
abstract RealVector	InvertibleRealLinearOperator.solve(RealVector b) Computes the matrix-vector product of the inverse of this instance with b and returns the result.
RealVector	DecompositionSolver.solve(RealVector b) Solve the linear equation A × X = B for matrices A.
RealVector	SymmLQ.solveInPlace(RealLinearOperator a, InvertibleRealLinearOperator m, RealVector b, RealVector x) Returns an estimate of the solution to the linear system A · x = b.
abstract RealVector	PreconditionedIterativeLinearSolver.solveInPlace(RealLinearOperator a, InvertibleRealLinearOperator m, RealVector b, RealVector x0) Returns an estimate of the solution to the linear system A · x = b.
RealVector	ConjugateGradient.solveInPlace(RealLinearOperator a, InvertibleRealLinearOperator m, RealVector b, RealVector x0) Returns an estimate of the solution to the linear system A · x = b.
RealVector	SymmLQ.solveInPlace(RealLinearOperator a, InvertibleRealLinearOperator 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.
RealVector	PreconditionedIterativeLinearSolver.solveInPlace(RealLinearOperator a, RealVector b, RealVector x0) 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.
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.
RealVector	RealVector.subtract(RealVector v) Subtract v from this vector.
RealVector	OpenMapRealVector.subtract(RealVector v) Subtract v from this vector.
ArrayRealVector	ArrayRealVector.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.apache.commons.math.linear with parameters of type RealVector

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.

OpenMapRealVector(RealVector v)
Generic copy constructor.

Uses of RealVector in org.apache.commons.math.optimization.linear

Methods in org.apache.commons.math.optimization.linear that return RealVector

RealVector	LinearObjectiveFunction.getCoefficients() Get the coefficients of the linear equation being optimized.
RealVector	LinearConstraint.getCoefficients() Get the coefficients of the constraint (left hand side).

Methods in org.apache.commons.math.optimization.linear with parameters of type RealVector

double

LinearObjectiveFunction.getValue(RealVector point) Compute the value of the linear equation at the current point

Constructors in org.apache.commons.math.optimization.linear with parameters of type RealVector

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.apache.commons.math.stat.regression

Fields in org.apache.commons.math.stat.regression declared as RealVector

protected RealVector

AbstractMultipleLinearRegression.Y Y sample data.

Methods in org.apache.commons.math.stat.regression that return RealVector

protected RealVector	OLSMultipleLinearRegression.calculateBeta() Calculates the regression coefficients using OLS.
protected RealVector	GLSMultipleLinearRegression.calculateBeta() Calculates beta by GLS.
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.