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

Packages that use RealVector

Package	Description
fr.cnes.sirius.patrius.covariance
fr.cnes.sirius.patrius.math.filter
fr.cnes.sirius.patrius.math.geometry
fr.cnes.sirius.patrius.math.geometry.euclidean.oned
fr.cnes.sirius.patrius.math.geometry.euclidean.threed
fr.cnes.sirius.patrius.math.geometry.euclidean.twod
fr.cnes.sirius.patrius.math.linear
fr.cnes.sirius.patrius.math.optim.joptimizer.algebra
fr.cnes.sirius.patrius.math.optim.joptimizer.optimizers
fr.cnes.sirius.patrius.math.optim.joptimizer.solvers
fr.cnes.sirius.patrius.math.optim.joptimizer.util
fr.cnes.sirius.patrius.math.optim.linear
fr.cnes.sirius.patrius.math.stat.regression

Uses of RealVector in fr.cnes.sirius.patrius.covariance

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

Modifier and Type	Method and Description
double	Covariance.getMahalanobisDistance(RealVector point) Gets the Mahalanobis distance of a point with respect to this covariance matrix, assuming its mean value is zero.
double	Covariance.getMahalanobisDistance(RealVector point, RealVector mean) Gets the Mahalanobis distance of a point with respect to this covariance matrix.

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

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

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

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

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

Modifier and Type	Method and Description
RealVector	Vector1D.getRealVector() Get a RealVector with identical data.

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.geometry.euclidean.twod

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

Modifier and Type	Method and Description
RealVector	Vector2D.getRealVector() Get a RealVector with identical data.

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 v) 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.deserializeRealVector(ObjectInputStream ois) Deserialize a RealVector field in a class.
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) Gets the entries of a given column as a vector.
RealVector	DiagonalMatrix.getColumnVector(int column) Gets the entries of a given column as a vector.
RealVector	AbstractRealMatrix.getColumnVector(int column) Gets the entries of a given column as a vector.
RealVector	BlockRealMatrix.getColumnVector(int column) Gets the entries of a given column 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) Gets the entries of a given row as a vector.
RealVector	DiagonalMatrix.getRowVector(int row) Gets the entries of a given row as a vector.
RealVector	AbstractRealMatrix.getRowVector(int row) Gets the entries of a given row as a vector.
RealVector	BlockRealMatrix.getRowVector(int row) Gets the entries of a given 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 postmultiplying this matrix by the vector v.
RealVector	JacobiPreconditioner.operate(RealVector x) Returns the result of multiplying this by the vector x.
RealVector	DiagonalMatrix.operate(RealVector v) 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 result of premultiplying this matrix by the vector v.
RealVector	DiagonalMatrix.preMultiply(RealVector v) Returns the result of premultiplying this matrix by the vector v.
RealVector	AbstractRealMatrix.preMultiply(RealVector v) Returns the result of premultiplying this matrix 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.
ArrayRealVector	ArrayRealVector.ebeDivide(RealVector v) Element-by-element division.
abstract RealVector	RealVector.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.
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 postmultiplying this matrix by the vector v.
RealVector	JacobiPreconditioner.operate(RealVector x) Returns the result of multiplying this by the vector x.
RealVector	DiagonalMatrix.operate(RealVector v) 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 result of premultiplying this matrix by the vector v.
RealVector	DiagonalMatrix.preMultiply(RealVector v) Returns the result of premultiplying this matrix by the vector v.
RealVector	AbstractRealMatrix.preMultiply(RealVector v) Returns the result of premultiplying this matrix 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	DecomposedSymmetricPositiveMatrix.setColumnVector(int column, RealVector vector) Replaces the entries of a given column with the entries of the specified vector.
void	RealMatrix.setColumnVector(int column, RealVector vector) Replaces the entries of a given column with the entries of the specified vector.
void	AbstractRealMatrix.setColumnVector(int column, RealVector vector) Replaces the entries of a given column with the entries of the specified vector.
void	BlockRealMatrix.setColumnVector(int column, RealVector vector) Replaces the entries of a given column with the entries of the specified vector.
void	ArrayRowSymmetricPositiveMatrix.setColumnVector(int column, RealVector vector) Replaces the entries of a given column with the entries of the specified vector.
void	DecomposedSymmetricPositiveMatrix.setRowVector(int row, RealVector vector) Replaces the entries of a given row with the entries of the specified vector.
void	RealMatrix.setRowVector(int row, RealVector vector) Replaces the entries of a given row with the entries of the specified vector.
void	AbstractRealMatrix.setRowVector(int row, RealVector vector) Replaces the entries of a given row with the entries of the specified vector.
void	BlockRealMatrix.setRowVector(int row, RealVector vector) Replaces the entries of a given row with the entries of the specified vector.
void	ArrayRowSymmetricPositiveMatrix.setRowVector(int row, RealVector vector) Replaces the entries of a given row with 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.joptimizer.algebra

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

Modifier and Type	Method and Description
static RealVector	AlgebraUtils.add(RealVector v1, RealVector v2, double c) Returns v = v1 + c * v2 (linear combination).
static RealVector	AlgebraUtils.diagonalMatrixMult(RealVector diagonalM, RealVector vector) Matrix-vector multiplication with diagonal matrix.
RealVector[]	MatrixRescaler.getMatrixScalingFactors(RealMatrix a) Calculates the R and T scaling factors (matrices) for a generic matrix A so that A'(=scaled A) = R.A.T
RealVector[]	Matrix1NornRescaler.getMatrixScalingFactors(RealMatrix a) Scaling factors for not singular matrices.
RealVector	MatrixRescaler.getMatrixScalingFactorsSymm(RealMatrix a) Calculates the R and T scaling factors (matrices) for a symmetric matrix A so that A'(=scaled A) = R.A.T
RealVector	Matrix1NornRescaler.getMatrixScalingFactorsSymm(RealMatrix a) Scaling factors for symmetric (not singular) matrices.
static RealVector	AlgebraUtils.randomValuesVector(int dim, double min, double max, Long seed) Return a vector with random values
static RealVector	AlgebraUtils.replaceValues(RealVector v, double oldValue, double newValue) Return a new array with all the occurrences of oldValue replaced by newValue.
RealVector	CholeskyFactorization.solve(RealVector b) Solver for system AX = b.
static RealVector	AlgebraUtils.zMult(RealMatrix matA, RealVector a, RealVector b, double beta) Returns v = A.a + beta*b.
static RealVector	AlgebraUtils.zMultTranspose(RealMatrix matA, RealVector a, RealVector b, double beta) Returns v = A[T].a + beta*b.

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

Modifier and Type	Method and Description
static RealVector	AlgebraUtils.add(RealVector v1, RealVector v2, double c) Returns v = v1 + c * v2 (linear combination).
boolean	MatrixRescaler.checkScaling(RealMatrix aOriginal, RealVector u, RealVector v) Check if the scaling algorithm returned proper results.
boolean	Matrix1NornRescaler.checkScaling(RealMatrix aOriginal, RealVector u, RealVector v) Check if the scaling algorithm returned proper results.
static RealMatrix	AlgebraUtils.diagonal(RealVector vector) Constructs a new diagonal matrix whose diagonal elements are the elements of vector.
static RealMatrix	AlgebraUtils.diagonalMatrixMult(RealMatrix a, RealVector diagonalU) Return A.diagonalU with diagonalU diagonal.
static RealMatrix	AlgebraUtils.diagonalMatrixMult(RealVector diagonalU, RealMatrix a) Return diagonalU.A with diagonalU diagonal.
static RealMatrix	AlgebraUtils.diagonalMatrixMult(RealVector diagonalU, RealMatrix a, RealVector diagonalV) Return diagonalU.A.diagonalV with diagonalU and diagonalV diagonal.
static RealVector	AlgebraUtils.diagonalMatrixMult(RealVector diagonalM, RealVector vector) Matrix-vector multiplication with diagonal matrix.
static RealVector	AlgebraUtils.replaceValues(RealVector v, double oldValue, double newValue) Return a new array with all the occurrences of oldValue replaced by newValue.
RealVector	CholeskyFactorization.solve(RealVector b) Solver for system AX = b.
static RealVector	AlgebraUtils.zMult(RealMatrix matA, RealVector a, RealVector b, double beta) Returns v = A.a + beta*b.
static RealVector	AlgebraUtils.zMultTranspose(RealMatrix matA, RealVector a, RealVector b, double beta) Returns v = A[T].a + beta*b.

Uses of RealVector in fr.cnes.sirius.patrius.math.optim.joptimizer.optimizers

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

Modifier and Type	Method and Description
protected RealVector	OptimizationRequestHandler.findEqFeasiblePoint(RealMatrix aMatrix, RealVector bVector) Find a solution of the linear (equalities) system A.x = b.
protected RealVector	OptimizationRequestHandler.findEqFeasiblePoint2(RealMatrix aMatrix, RealVector bVector) Find a solution of the linear (equalities) system A.x = b.
RealVector	BasicPhaseIPDM.findFeasibleInitialPoint() Find a feasible initial point
RealVector	BasicPhaseILPPDM.findFeasibleInitialPoint() Find a feasible initial point
protected RealVector	OptimizationRequestHandler.getB() Get the equalities constraints vector
RealVector	OptimizationRequest.getB() Get the equalities constraints vector
RealVector	LPOptimizationRequest.getC() Get the linear objective function
protected RealVector	AbstractLPOptimizationRequestHandler.getC() Get the linear objective function
protected RealVector	OptimizationRequestHandler.getFi(RealVector vecX) Inequality functions values at X.
protected RealVector	BarrierMethod.getFi(RealVector x) Use the barrier function instead.
protected RealVector	LPPrimalDualMethod.getFi(RealVector x) Inequality functions values at X.
protected RealVector	OptimizationRequestHandler.getGradF0(RealVector x) Objective function gradient at X.
protected RealVector	LPPrimalDualMethod.getGradF0(RealVector x) Objective function gradient at X.
RealVector	LPOptimizationRequest.getH() Get the linear inequalities constraints coefficients
protected RealVector	AbstractLPOptimizationRequestHandler.getH() Get the linear inequalities constraints coefficients
protected RealVector	OptimizationRequestHandler.getInitialLagrangian() Get the initial Lagrangian
RealVector	OptimizationRequest.getInitialLagrangian() Get a starting point for the Lagrangian multipliers
protected RealVector	OptimizationRequestHandler.getInitialPoint() Get the initial point
RealVector	OptimizationRequest.getInitialPoint() Get the feasible starting point for the minimum search
RealVector	LPOptimizationRequest.getLb() Get the lower bounds
protected RealVector	AbstractLPOptimizationRequestHandler.getLb() Get the lower bounds
protected RealVector	LPPrimalDualMethod.getLb() Return the lower bounds for the problem.
protected RealVector	OptimizationRequestHandler.getNotFeasibleInitialPoint() Get the not feasible initial point
RealVector	OptimizationRequest.getNotFeasibleInitialPoint() Get a not-feasible starting point for the minimum search
RealVector	LPPresolver.getPresolvedB() Get the presolved vector B
RealVector	LPPresolver.getPresolvedC() Get the presolved vector C
RealVector	LPPresolver.getPresolvedLB() Get the presolved lower bounds vector
RealVector	LPPresolver.getPresolvedUB() Get the presolved upper bounds vector
RealVector	LPPresolver.getPresolvedYlb() Get the presolved Y lower bounds vector
RealVector	LPPresolver.getPresolvedYub() Get the presolved Y upper bounds vector
RealVector	LPPresolver.getPresolvedZlb() Get the presolved Z lower bounds vector
RealVector	LPPresolver.getPresolvedZub() Get the presolved Z upper bounds vector
RealVector	LPStandardConverter.getStandardB() Get the final equalities constraints limits
RealVector	LPStandardConverter.getStandardC() Get the final objective function
RealVector	LPStandardConverter.getStandardLB() Get the final lower bounds This makes sense only if strictlyStandardForm = false (otherwise all lb are 0).
RealVector	LPStandardConverter.getStandardUB() Get the final upper bounds This makes sense only if strictlyStandardForm = false (otherwise all ub are unbounded).
RealVector	LPOptimizationRequest.getUb() Get the upper bounds
protected RealVector	AbstractLPOptimizationRequestHandler.getUb() Get the upper bounds
protected RealVector	LPPrimalDualMethod.getUb() Return the upper bounds for the problem.
RealVector	LPOptimizationRequest.getYlb() Get the Lagrangian lower bounds for linear constraints (A rows)
protected RealVector	AbstractLPOptimizationRequestHandler.getYlb() Get the Lagrangian lower bounds for linear constraints (A rows)
RealVector	LPOptimizationRequest.getYub() Get the Lagrangian upper bounds for linear constraints (A rows)
protected RealVector	AbstractLPOptimizationRequestHandler.getYub() Get the Lagrangian upper bounds for linear constraints (A rows)
RealVector	LPOptimizationRequest.getZlb() Get the Lagrangian upper bounds for linear bounds
protected RealVector	AbstractLPOptimizationRequestHandler.getZlb() Get the Lagrangian upper bounds for linear bounds
RealVector	LPOptimizationRequest.getZub() Get the Lagrangian upper bounds for upper bounds
protected RealVector	AbstractLPOptimizationRequestHandler.getZub() Get the Lagrangian upper bounds for upper bounds
protected RealVector	LPPrimalDualMethod.gradFiStepX(RealVector stepX) Computes the term Grad[fi].stepX
protected RealVector	LPPrimalDualMethod.gradSum(double t, RealVector fiX) Calculates the second term of the first row of (11.55) "Convex Optimization".
protected RealVector	LPPrimalDualMethod.rDual(RealVector gradF0X, RealVector l, RealVector v)
protected RealVector	OptimizationRequestHandler.rPri(RealVector x) rPri := Ax - b
protected RealVector	LPPrimalDualMethod.rPri(RealVector x) rPri := Ax - b

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

Modifier and Type	Method and Description
protected boolean	OptimizationRequestHandler.checkCustomExitConditions(RealVector y) Overriding this, a subclass can define some extra condition for exiting the iteration loop.
protected RealVector	OptimizationRequestHandler.findEqFeasiblePoint(RealMatrix aMatrix, RealVector bVector) Find a solution of the linear (equalities) system A.x = b.
protected RealVector	OptimizationRequestHandler.findEqFeasiblePoint2(RealMatrix aMatrix, RealVector bVector) Find a solution of the linear (equalities) system A.x = b.
protected double	OptimizationRequestHandler.getF0(RealVector x) Objective function value at X.
protected double	LPPrimalDualMethod.getF0(RealVector x) Objective function value at X.
protected RealVector	OptimizationRequestHandler.getFi(RealVector vecX) Inequality functions values at X.
protected RealVector	BarrierMethod.getFi(RealVector x) Use the barrier function instead.
protected RealVector	LPPrimalDualMethod.getFi(RealVector x) Inequality functions values at X.
protected RealVector	OptimizationRequestHandler.getGradF0(RealVector x) Objective function gradient at X.
protected RealVector	LPPrimalDualMethod.getGradF0(RealVector x) Objective function gradient at X.
protected RealMatrix	OptimizationRequestHandler.getGradFi(RealVector vecX) Inequality functions gradients values at X.
protected RealMatrix	BarrierMethod.getGradFi(RealVector x) Use the barrier function instead.
protected RealMatrix	LPPrimalDualMethod.getGradFi(RealVector x) Inequality functions gradients values at X.
protected RealMatrix	OptimizationRequestHandler.getHessF0(RealVector x) Objective function hessian at X.
protected RealMatrix	LPPrimalDualMethod.getHessF0(RealVector x) Objective function hessian at X.
protected RealMatrix[]	OptimizationRequestHandler.getHessFi(RealVector vecX) Inequality functions hessians values at X.
RealMatrix[]	BarrierMethod.getHessFi(RealVector x) Use the barrier function instead.
RealMatrix[]	LPPrimalDualMethod.getHessFi(RealVector x) Inequality functions hessians values at X.
protected RealVector	LPPrimalDualMethod.gradFiStepX(RealVector stepX) Computes the term Grad[fi].stepX
protected RealMatrix	LPPrimalDualMethod.gradLSum(RealVector l, RealVector fiX) Return the H matrix (that is diagonal).
protected RealVector	LPPrimalDualMethod.gradSum(double t, RealVector fiX) Calculates the second term of the first row of (11.55) "Convex Optimization".
protected boolean	OptimizationRequestHandler.isInDomainF0(RealVector x) Objective function domain.
protected boolean	LPPrimalDualMethod.isInDomainF0(RealVector x) Objective function domain.
void	LPPresolver.presolve(RealVector originalC, RealMatrix originalA, RealVector originalB, RealVector originalLB, RealVector originalUB) Presolve
protected RealVector	LPPrimalDualMethod.rDual(RealVector gradF0X, RealVector l, RealVector v)
protected RealVector	OptimizationRequestHandler.rPri(RealVector x) rPri := Ax - b
protected RealVector	LPPrimalDualMethod.rPri(RealVector x) rPri := Ax - b
void	OptimizationRequest.setB(RealVector vecB) Set the equalities constraints vector
void	LPOptimizationRequest.setC(RealVector vecC) Set the linear objective function
void	LPOptimizationRequest.setH(RealVector vecH) Set the linear inequalities constraints coefficients
void	LPOptimizationRequest.setLb(RealVector lbVector) Set the lower bounds
void	LPOptimizationRequest.setUb(RealVector uB) Set the upper bounds
void	LPOptimizationRequest.setYlb(RealVector ylbVector) Set the Lagrangian lower bounds for linear constraints (A rows)
void	LPOptimizationRequest.setYub(RealVector yubVector) Set the Lagrangian upper bounds for linear constraints (A rows)
void	LPOptimizationRequest.setZlb(RealVector zlbVector) Set the Lagrangian upper bounds for linear bounds
void	LPOptimizationRequest.setZub(RealVector zubVector) Set the Lagrangian upper bounds for upper bounds
void	LPStandardConverter.toStandardForm(RealVector originalC, RealMatrix originalG, RealVector originalH, RealMatrix originalA, RealVector originalB, RealVector originalLB, RealVector originalUB) Transforms the problem from a general form to the (quasi) standard LP form.

Uses of RealVector in fr.cnes.sirius.patrius.math.optim.joptimizer.solvers

Fields in fr.cnes.sirius.patrius.math.optim.joptimizer.solvers declared as RealVector

Modifier and Type	Field and Description
protected RealVector	AbstractKKTSolver.g Vector g
protected RealVector	AbstractKKTSolver.h Vector h

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

Modifier and Type	Method and Description
RealVector[]	BasicKKTSolver.solve() Returns the two vectors v and w.
abstract RealVector[]	AbstractKKTSolver.solve() Returns two vectors v and w solutions of the KKT system.
RealVector[]	UpperDiagonalHKKTSolver.solve() Returns the two vectors v and w.
RealVector[]	AugmentedKKTSolver.solve() Returns the two vectors v and w.
protected RealVector[]	AbstractKKTSolver.solveAugmentedKKT() Solve the augmented KTT system

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

Modifier and Type	Method and Description
protected boolean	AbstractKKTSolver.checkKKTSolutionAccuracy(RealVector v, RealVector w) Check the solution of the system KKT.x = b against the scaled residual beta < gamma, where gamma is a parameter chosen by the user and beta is the scaled residual, beta = ||KKT.x-b||_oo/( ||KKT||_oo .
protected boolean	UpperDiagonalHKKTSolver.checkKKTSolutionAccuracy(RealVector v, RealVector w) Check the solution of the system KKT.x = b against the scaled residual beta < gamma, where gamma is a parameter chosen by the user and beta is the scaled residual, beta = ||KKT.x-b||_oo/( ||KKT||_oo .
void	AbstractKKTSolver.setGVector(RealVector gVector) Set the g vector
void	AbstractKKTSolver.setHVector(RealVector hVector) Set the h vector

Uses of RealVector in fr.cnes.sirius.patrius.math.optim.joptimizer.util

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

Modifier and Type	Method and Description
static double	Utils.calculateScaledResidual(RealMatrix a, RealVector x, RealVector b) Calculate the scaled residual ||Ax-b||_oo/( ||A||_oo .

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.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()