Uses of Class
ch.akuhn.matrix.Vector

Packages that use Vector

Package	Description
ch.akuhn.matrix
ch.akuhn.matrix.eigenvalues
org.openimaj.math.matrix
org.openimaj.ml.clustering.spectral

Uses of Vector in ch.akuhn.matrix

Subclasses of Vector in ch.akuhn.matrix

Modifier and Type	Class and Description
class	DenseVector A dense vector
class	SparseVector A sparse vector

Methods in ch.akuhn.matrix that return Vector

Modifier and Type	Method and Description
Vector	Matrix.column(int column) Get the given column as a vector
static Vector	Vector.copy(double[] values, int start, int length) Copy a range from an array into a vector.
static Vector	Vector.dense(int size) Create an empty dense vector
static Vector	Vector.from(double... values) Construct a Vector from an array of values
Vector	SymmetricMatrix.mult(Vector v)
Vector	SparseMatrix.mult(Vector dense)
Vector	Matrix.mult(Vector x) Returns y = Ax.
Vector	SparseMatrix.row(int row)
Vector	Matrix.row(int row) Get the given row as a vector
static Vector	Vector.sparse(int size) Create an empty sparse vector
Vector	DenseVector.times(double scalar)
abstract Vector	Vector.times(double scalar) Multiply by a constant, creating a new vector
Vector	SparseVector.times(double scalar)
Vector	DenseVector.timesEquals(double scalar)
abstract Vector	Vector.timesEquals(double scalar) Multiply by a constant in-place
Vector	SparseVector.timesEquals(double scalar)
Vector	SparseMatrix.transposeMultiply(Vector dense)
Vector	Matrix.transposeMultiply(Vector x) Returns y = (A^T)x.
Vector	Matrix.transposeNonTransposeMultiply(Vector x) Returns y = (A^T)Ax.
static Vector	Vector.wrap(double... values) Wrap an array in a vector

Methods in ch.akuhn.matrix that return types with arguments of type Vector

Modifier and Type	Method and Description
Iterable<Vector>	Matrix.columns() Get an Iterable over the columns
Iterable<Vector>	DenseMatrix.rows()
Iterable<Vector>	SparseMatrix.rows()
Iterable<Vector>	Matrix.rows() Get an Iterable over the rows

Methods in ch.akuhn.matrix with parameters of type Vector

Modifier and Type	Method and Description
void	SparseMatrix.addToRow(int row, Vector values) Add the given values to the given row
double	Vector.dot(Vector x) Returns the dot/scalar product.
double	SparseVector.dot(Vector x)
boolean	DenseVector.equals(Vector v, double epsilon)
abstract boolean	Vector.equals(Vector v, double epsilon) Test for equality
boolean	SparseVector.equals(Vector v, double epsilon)
static int	Matrix.indexOf(Vector vec) Get the index of the given vector
Vector	SymmetricMatrix.mult(Vector v)
Vector	SparseMatrix.mult(Vector dense)
Vector	Matrix.mult(Vector x) Returns y = Ax.
void	Vector.scaleAndAddTo(double a, Vector y) y = y + a*this.
void	SparseVector.scaleAndAddTo(double a, Vector y)
Vector	SparseMatrix.transposeMultiply(Vector dense)
Vector	Matrix.transposeMultiply(Vector x) Returns y = (A^T)x.
Vector	Matrix.transposeNonTransposeMultiply(Vector x) Returns y = (A^T)Ax.

Uses of Vector in ch.akuhn.matrix.eigenvalues

Fields in ch.akuhn.matrix.eigenvalues declared as Vector

Modifier and Type	Field and Description
Vector[]	Eigenvalues.vector The eigenvectors
Vector[]	SingularValues.vectorLeft Left singular vectors
Vector[]	SingularValues.vectorRight Right singular vectors

Methods in ch.akuhn.matrix.eigenvalues that return Vector

Modifier and Type	Method and Description
protected abstract Vector	FewEigenvalues.callback(Vector vector)

Methods in ch.akuhn.matrix.eigenvalues with parameters of type Vector

Modifier and Type	Method and Description
protected abstract Vector	FewEigenvalues.callback(Vector vector)

Uses of Vector in org.openimaj.math.matrix

Methods in org.openimaj.math.matrix with type parameters of type Vector

Modifier and Type	Method and Description
static <T extends Vector> T	MatlibMatrixUtils.minusInplace(T A, Vector D) Subtract a vector from another vector A = A - D
static <T extends Vector> T	MatlibMatrixUtils.plusInplace(T A, Vector D) Subtract a vector from another vector A = A + D

Methods in org.openimaj.math.matrix that return Vector

Modifier and Type	Method and Description
static Vector	MatlibMatrixUtils.lessThan(Vector v, double d)
static Vector	MatlibMatrixUtils.minus(Vector l, Vector v)
Vector	DiagonalMatrix.mult(Vector x)
Vector	DiagonalMatrix.transposeMultiply(Vector x)
Vector	DiagonalMatrix.transposeNonTransposeMultiply(Vector x)

Methods in org.openimaj.math.matrix with parameters of type Vector

Modifier and Type	Method and Description
static boolean	MatlibMatrixUtils.any(Vector v)
static <T extends Matrix> T	MatlibMatrixUtils.appendColumn(T m, Vector col)
static <T extends Matrix> T	MatlibMatrixUtils.appendRow(T m, Vector row)
static Vector	MatlibMatrixUtils.lessThan(Vector v, double d)
static Vector	MatlibMatrixUtils.minus(Vector l, Vector v)
static <T extends Vector> T	MatlibMatrixUtils.minusInplace(T A, Vector D) Subtract a vector from another vector A = A - D
Vector	DiagonalMatrix.mult(Vector x)
static double	MatlibMatrixUtils.norm2(Vector row) Compute the 2-norm (Euclidean norm) of the vector
static <T extends Vector> T	MatlibMatrixUtils.plusInplace(T A, Vector D) Subtract a vector from another vector A = A + D
static void	MatlibMatrixUtils.setSubMatrixCol(Matrix to, int row, int col, Vector v) Starting from a given row of a column, set the values of a matrix to the values of v
static void	MatlibMatrixUtils.setSubMatrixRow(Matrix to, int row, int col, Vector v) Starting from a given column of a row, set the values of a matrix to the values of v
static void	MatlibMatrixUtils.setSubVector(Vector to, int startindex, Vector from)
static Jama.Matrix	MatlibMatrixUtils.toColJama(Vector vector)
static Jama.Matrix	MatlibMatrixUtils.toRowJama(Vector vector)
Vector	DiagonalMatrix.transposeMultiply(Vector x)
Vector	DiagonalMatrix.transposeNonTransposeMultiply(Vector x)
protected Jama.Matrix	ThinSingularValueDecomposition.vectorArrayToMatrix(Vector[] vectors, boolean rows)

Uses of Vector in org.openimaj.ml.clustering.spectral

Methods in org.openimaj.ml.clustering.spectral that return types with arguments of type Vector

Modifier and Type	Method and Description
Iterator<DoubleObjectPair<Vector>>	GraphLaplacian.eigenIterator(Eigenvalues evd)
Iterator<DoubleObjectPair<Vector>>	GraphLaplacian.Normalised.eigenIterator(Eigenvalues evd)
Iterator<DoubleObjectPair<Vector>>	GraphLaplacian.Warped.eigenIterator(Eigenvalues evd)
DoubleObjectPair<Vector>	FBEigenIterator.next()

Method parameters in org.openimaj.ml.clustering.spectral with type arguments of type Vector

Modifier and Type	Method and Description
int	AbsoluteValueEigenChooser.nEigenVectors(Iterator<DoubleObjectPair<Vector>> vals, int totalEigenVectors)
int	ChangeDetectingEigenChooser.nEigenVectors(Iterator<DoubleObjectPair<Vector>> vals, int totalEigenVectors)
abstract int	EigenChooser.nEigenVectors(Iterator<DoubleObjectPair<Vector>> vals, int totalEigenVectors)
int	HardCodedEigenChooser.nEigenVectors(Iterator<DoubleObjectPair<Vector>> vals, int total)