Uses of Class ch.akuhn.matrix.Vector (MatrixLib 1.3.5 API)

Packages that use Vector
Package	Description
ch.akuhn.matrix
ch.akuhn.matrix.eigenvalues

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
`abstract Vector`	Vector.`times(double scalar)` Multiply by a constant, creating a new vector
`Vector`	SparseVector.`times(double scalar)`
`Vector`	DenseVector.`times(double scalar)`
`abstract Vector`	Vector.`timesEquals(double scalar)` Multiply by a constant in-place
`Vector`	SparseVector.`timesEquals(double scalar)`
`Vector`	DenseVector.`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>`	SparseMatrix.`rows()`
`Iterable<Vector>`	Matrix.`rows()` Get an `Iterable` over the rows
`Iterable<Vector>`	DenseMatrix.`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)`
`abstract boolean`	Vector.`equals(Vector v, double epsilon)` Test for equality
`boolean`	SparseVector.`equals(Vector v, double epsilon)`
`boolean`	DenseVector.`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`.

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 Classch.akuhn.matrix.Vector