A C D E F G H I K L M N O P R S T U V W

A

add(int, int, double) - Method in class ch.akuhn.matrix.DenseMatrix

add(int, int, double) - Method in class ch.akuhn.matrix.Matrix

Add to the value at the given row/column

add(int, int, double) - Method in class ch.akuhn.matrix.SparseMatrix

add(int, double) - Method in class ch.akuhn.matrix.SparseVector

add(int, double) - Method in class ch.akuhn.matrix.Vector

Add the given value to the value at the given index

addColumn() - Method in class ch.akuhn.matrix.SparseMatrix

Add a new column to the end, increasing the number of columns by 1

addRow() - Method in class ch.akuhn.matrix.SparseMatrix

Add a new row to the end, increasing the number of rows by 1

addRow(double[]) - Method in class ch.akuhn.matrix.SparseMatrix

addToRow(int, Vector) - Method in class ch.akuhn.matrix.SparseMatrix

Add the given values to the given row

AllEigenvalues - Class in ch.akuhn.matrix.eigenvalues

Finds all eigenvalues of a matrix.

AllEigenvalues(Matrix) - Constructor for class ch.akuhn.matrix.eigenvalues.AllEigenvalues

Construct with the given matrix

applyCentering() - Method in class ch.akuhn.matrix.Vector

mean-center the vector

applyMultiplication(double) - Method in class ch.akuhn.matrix.DenseMatrix

Inline multiplication by a constant

asArray() - Method in class ch.akuhn.matrix.Matrix

Get the matrix data as a 2D dense array

asColumnMajorArray() - Method in class ch.akuhn.matrix.Matrix

Get in col-major format

asDenseDoubleDouble() - Method in class ch.akuhn.matrix.SparseMatrix

Convert to a dense 2d double array

assertInvariant() - Method in class ch.akuhn.matrix.DenseMatrix

assertInvariant() - Method in class ch.akuhn.matrix.SymmetricMatrix

C

callback(Vector) - Method in class ch.akuhn.matrix.eigenvalues.FewEigenvalues

ch.akuhn.matrix - package ch.akuhn.matrix

ch.akuhn.matrix.eigenvalues - package ch.akuhn.matrix.eigenvalues

column(int) - Method in class ch.akuhn.matrix.Matrix

Get the given column as a vector

columnCount() - Method in class ch.akuhn.matrix.DenseMatrix

columnCount() - Method in class ch.akuhn.matrix.Matrix

Get the number of columns

columnCount() - Method in class ch.akuhn.matrix.SparseMatrix

columnCount() - Method in class ch.akuhn.matrix.SymmetricMatrix

columns() - Method in class ch.akuhn.matrix.Matrix

Get an Iterable over the columns

copy(double[], int, int) - Static method in class ch.akuhn.matrix.Vector

Copy a range from an array into a vector.

cosine(DenseVector) - Method in class ch.akuhn.matrix.DenseVector

Cosine of angle between this and another vector

count(double[][]) - Static method in class ch.akuhn.matrix.Util

Count

D

decompose() - Method in class ch.akuhn.matrix.eigenvalues.SingularValues

Perform the decomposition

dense(int, int) - Static method in class ch.akuhn.matrix.Matrix

Create a zeroed dense matrix

dense(int) - Static method in class ch.akuhn.matrix.Vector

Create an empty dense vector

DenseMatrix - Class in ch.akuhn.matrix

A Dense matrix.

DenseMatrix(double[][]) - Constructor for class ch.akuhn.matrix.DenseMatrix

Construct with the given values

DenseMatrix(int, int) - Constructor for class ch.akuhn.matrix.DenseMatrix

Construct with the given size

DenseVector - Class in ch.akuhn.matrix

A dense vector

DenseVector(double[]) - Constructor for class ch.akuhn.matrix.DenseVector

DenseVector(int) - Constructor for class ch.akuhn.matrix.DenseVector

density() - Method in class ch.akuhn.matrix.Matrix

Get the density

density() - Method in class ch.akuhn.matrix.Vector

dot(Vector) - Method in class ch.akuhn.matrix.SparseVector

dot(Vector) - Method in class ch.akuhn.matrix.Vector

Returns the dot/scalar product.

E

Eigenvalues - Class in ch.akuhn.matrix.eigenvalues

The eigen-decomposition of a matrix.

Eigenvalues(int) - Constructor for class ch.akuhn.matrix.eigenvalues.Eigenvalues

Construct with the given dimensions

elementCount() - Method in class ch.akuhn.matrix.Matrix

entries() - Method in class ch.akuhn.matrix.SparseVector

entries() - Method in class ch.akuhn.matrix.Vector

Iterates over all entries.

Entry(int, double) - Constructor for class ch.akuhn.matrix.Vector.Entry

Construct

equals(Vector, double) - Method in class ch.akuhn.matrix.DenseVector

equals(Object) - Method in class ch.akuhn.matrix.SparseMatrix

equals(Object) - Method in class ch.akuhn.matrix.SparseVector

equals(SparseVector) - Method in class ch.akuhn.matrix.SparseVector

Test for equality

equals(Vector, double) - Method in class ch.akuhn.matrix.SparseVector

equals(Vector, double) - Method in class ch.akuhn.matrix.Vector

Test for equality

F

FewEigenvalues - Class in ch.akuhn.matrix.eigenvalues

Finds a few eigenvalues of a matrix.

FewEigenvalues(int) - Constructor for class ch.akuhn.matrix.eigenvalues.FewEigenvalues

fill(double) - Method in class ch.akuhn.matrix.DenseMatrix

Fill with a constant

from(int, int, double...) - Static method in class ch.akuhn.matrix.Matrix

Build a matrix from the given values (row-major)

from(double...) - Static method in class ch.akuhn.matrix.Vector

Construct a Vector from an array of values

fromBothEnds(int) - Method in class ch.akuhn.matrix.eigenvalues.FewEigenvalues

Compute eigenvalues from both end of the spectrum.

fromJagged(double[][]) - Static method in class ch.akuhn.matrix.SymmetricMatrix

Create from jagged low triangular values

fromSquare(double[][]) - Static method in class ch.akuhn.matrix.SymmetricMatrix

Create from a square matrix

G

get(int, int) - Method in class ch.akuhn.matrix.DenseMatrix

get(int) - Method in class ch.akuhn.matrix.DenseVector

get(int, int) - Method in class ch.akuhn.matrix.Matrix

get(int, int) - Method in class ch.akuhn.matrix.SparseMatrix

get(int) - Method in class ch.akuhn.matrix.SparseVector

get(int, int) - Method in class ch.akuhn.matrix.SymmetricMatrix

get(int) - Method in class ch.akuhn.matrix.Vector

Get the value at the given index

getHistogram() - Method in class ch.akuhn.matrix.Matrix

getHistogram(double[][], int) - Static method in class ch.akuhn.matrix.Util

Get the histogram

getN() - Method in class ch.akuhn.matrix.eigenvalues.Eigenvalues

greatest(int) - Method in class ch.akuhn.matrix.eigenvalues.FewEigenvalues

Compute the largest eigenvalues in magnitude.

H

hashCode() - Method in class ch.akuhn.matrix.SparseMatrix

hashCode() - Method in class ch.akuhn.matrix.SparseVector

I

index - Variable in class ch.akuhn.matrix.Vector.Entry

The index

indexOf(Vector) - Static method in class ch.akuhn.matrix.Matrix

Get the index of the given vector

isSquare() - Method in class ch.akuhn.matrix.Matrix

isUsed(int) - Method in class ch.akuhn.matrix.SparseVector

Test if an index has a set value

K

keys() - Method in class ch.akuhn.matrix.SparseVector

L

largest(int) - Method in class ch.akuhn.matrix.eigenvalues.Eigenvalues

Configure to compute the largest nev values/vectors.

largest(int) - Method in class ch.akuhn.matrix.eigenvalues.FewEigenvalues

Compute the largest algebraic eigenvalues.

lowest(int) - Method in class ch.akuhn.matrix.eigenvalues.FewEigenvalues

Compute the smallest eigenvalues in magnitude.

M

main(String...) - Static method in class ch.akuhn.matrix.eigenvalues.SingularValues

Sample main

makeValues(int, int) - Method in class ch.akuhn.matrix.DenseMatrix

makeValues(int, int) - Method in class ch.akuhn.matrix.SymmetricMatrix

Matrix - Class in ch.akuhn.matrix

Two-dimensional table of floating point numbers.

Matrix() - Constructor for class ch.akuhn.matrix.Matrix

max() - Method in class ch.akuhn.matrix.Matrix

max(double[], double) - Static method in class ch.akuhn.matrix.Util

Max

max(double[][], double) - Static method in class ch.akuhn.matrix.Util

Max

mean() - Method in class ch.akuhn.matrix.Matrix

mean() - Method in class ch.akuhn.matrix.Vector

min() - Method in class ch.akuhn.matrix.Matrix

min(double[], double) - Static method in class ch.akuhn.matrix.Util

Min

min(double[][], double) - Static method in class ch.akuhn.matrix.Util

Min

mult(Vector) - Method in class ch.akuhn.matrix.Matrix

Returns y = Ax.

mult(Vector) - Method in class ch.akuhn.matrix.SparseMatrix

mult(Vector) - Method in class ch.akuhn.matrix.SymmetricMatrix

N

n - Variable in class ch.akuhn.matrix.eigenvalues.Eigenvalues

nev - Variable in class ch.akuhn.matrix.eigenvalues.Eigenvalues

newInstance(int, int) - Method in class ch.akuhn.matrix.DenseMatrix

newInstance() - Method in class ch.akuhn.matrix.Matrix

newInstance(int, int) - Method in class ch.akuhn.matrix.Matrix

newInstance(int, int) - Method in class ch.akuhn.matrix.SparseMatrix

norm() - Method in class ch.akuhn.matrix.DenseVector

norm() - Method in class ch.akuhn.matrix.Vector

Compute the L2 norm

O

of(Matrix) - Static method in class ch.akuhn.matrix.eigenvalues.Eigenvalues

Get an object that can compute the eigendecomposition of the given matrix.

of(Matrix) - Static method in class ch.akuhn.matrix.eigenvalues.FewEigenvalues

P

put(int, int, double) - Method in class ch.akuhn.matrix.DenseMatrix

put(int, double) - Method in class ch.akuhn.matrix.DenseVector

put(int, int, double) - Method in class ch.akuhn.matrix.Matrix

Set the value at the given row/column

put(int, int, double) - Method in class ch.akuhn.matrix.SparseMatrix

put(int, double) - Method in class ch.akuhn.matrix.SparseVector

put(int, int, double) - Method in class ch.akuhn.matrix.SymmetricMatrix

put(int, double) - Method in class ch.akuhn.matrix.Vector

Set the value at an index

R

random(int, int, double) - Static method in class ch.akuhn.matrix.SparseMatrix

Create a random matrix

readFrom(Scanner) - Static method in class ch.akuhn.matrix.SparseMatrix

Read matrix from Scanner

resizeTo(int) - Method in class ch.akuhn.matrix.SparseVector

Resize the vector

row(int) - Method in class ch.akuhn.matrix.Matrix

Get the given row as a vector

row(int) - Method in class ch.akuhn.matrix.SparseMatrix

rowCount() - Method in class ch.akuhn.matrix.DenseMatrix

rowCount() - Method in class ch.akuhn.matrix.Matrix

rowCount() - Method in class ch.akuhn.matrix.SparseMatrix

rowCount() - Method in class ch.akuhn.matrix.SymmetricMatrix

rows() - Method in class ch.akuhn.matrix.DenseMatrix

rows() - Method in class ch.akuhn.matrix.Matrix

Get an Iterable over the rows

rows() - Method in class ch.akuhn.matrix.SparseMatrix

rowwiseMean() - Method in class ch.akuhn.matrix.Matrix

rowwiseMean() - Method in class ch.akuhn.matrix.SymmetricMatrix

run() - Method in class ch.akuhn.matrix.eigenvalues.AllEigenvalues

run() - Method in class ch.akuhn.matrix.eigenvalues.Eigenvalues

Run the decomposition algorithm.

run() - Method in class ch.akuhn.matrix.eigenvalues.FewEigenvalues

Runs the eigenvalue decomposition, using an implicitly restarted Arnoldi process (IRAP).

S

scaleAndAddTo(double, Vector) - Method in class ch.akuhn.matrix.SparseVector

scaleAndAddTo(double, Vector) - Method in class ch.akuhn.matrix.Vector

y = y + a*this.

setRow(int, SparseVector) - Method in class ch.akuhn.matrix.SparseMatrix

Sets the row, no check is made on SparseVector.size() Use with care.

SingularValues - Class in ch.akuhn.matrix.eigenvalues

Compute the Singular Value Decomposition.

SingularValues(Matrix, int) - Constructor for class ch.akuhn.matrix.eigenvalues.SingularValues

Construct with the given matrix and required number of S.V.s

size() - Method in class ch.akuhn.matrix.DenseVector

size() - Method in class ch.akuhn.matrix.SparseVector

size() - Method in class ch.akuhn.matrix.Vector

smallest(int) - Method in class ch.akuhn.matrix.eigenvalues.FewEigenvalues

Compute the smallest algebraic eigenvalues.

sparse(int, int) - Static method in class ch.akuhn.matrix.Matrix

Create a sparse matrix

sparse(int) - Static method in class ch.akuhn.matrix.Vector

Create an empty sparse vector

SparseMatrix - Class in ch.akuhn.matrix

A sparse matrix

SparseMatrix(double[][]) - Constructor for class ch.akuhn.matrix.SparseMatrix

Construct with the given values

SparseMatrix(int, int) - Constructor for class ch.akuhn.matrix.SparseMatrix

Construct with the given size

SparseVector - Class in ch.akuhn.matrix

A sparse vector

SparseVector(double[]) - Constructor for class ch.akuhn.matrix.SparseVector

SparseVector(int) - Constructor for class ch.akuhn.matrix.SparseVector

SparseVector(int, int) - Constructor for class ch.akuhn.matrix.SparseVector

Construct with the given length and capacity

storeOn(double[], int) - Method in class ch.akuhn.matrix.Vector

I/O

storeSparseOn(Appendable) - Method in class ch.akuhn.matrix.Matrix

I/O

storeSparseOn(String) - Method in class ch.akuhn.matrix.Matrix

Write to file

sum(double[][]) - Static method in class ch.akuhn.matrix.Util

Sum

sum(double[]) - Static method in class ch.akuhn.matrix.Util

Sum

sum() - Method in class ch.akuhn.matrix.Vector

SymmetricMatrix - Class in ch.akuhn.matrix

Matrix where aij = aji for all elements.

SymmetricMatrix(int) - Constructor for class ch.akuhn.matrix.SymmetricMatrix

Construct with given size

SymmetricMatrix(double[][]) - Constructor for class ch.akuhn.matrix.SymmetricMatrix

Construct with given values, which must be jagged and represent the lower triangular values

T

times(double) - Method in class ch.akuhn.matrix.DenseVector

times(double) - Method in class ch.akuhn.matrix.SparseVector

times(double[][], double) - Static method in class ch.akuhn.matrix.Util

Multiply by constant

times(double) - Method in class ch.akuhn.matrix.Vector

Multiply by a constant, creating a new vector

timesEquals(double) - Method in class ch.akuhn.matrix.DenseVector

timesEquals(double) - Method in class ch.akuhn.matrix.SparseVector

timesEquals(double) - Method in class ch.akuhn.matrix.Vector

Multiply by a constant in-place

toString() - Method in class ch.akuhn.matrix.Matrix

toString() - Method in class ch.akuhn.matrix.Vector

transposeMultiply(Vector) - Method in class ch.akuhn.matrix.Matrix

Returns y = (A^T)x.

transposeMultiply(Vector) - Method in class ch.akuhn.matrix.SparseMatrix

transposeNonTransposeMultiply(Vector) - Method in class ch.akuhn.matrix.Matrix

Returns y = (A^T)Ax.

trim() - Method in class ch.akuhn.matrix.SparseMatrix

Trim each row

trim() - Method in class ch.akuhn.matrix.SparseVector

Trim the underlying dense arrays to compact space and save memory

U

unwrap() - Method in class ch.akuhn.matrix.DenseMatrix

unwrap() - Method in class ch.akuhn.matrix.DenseVector

unwrap() - Method in class ch.akuhn.matrix.Matrix

unwrap() - Method in class ch.akuhn.matrix.SymmetricMatrix

unwrap() - Method in class ch.akuhn.matrix.Vector

used() - Method in class ch.akuhn.matrix.DenseMatrix

used() - Method in class ch.akuhn.matrix.Matrix

used() - Method in class ch.akuhn.matrix.SparseMatrix

used() - Method in class ch.akuhn.matrix.SparseVector

used() - Method in class ch.akuhn.matrix.Vector

Returns number of non-zero-valued entries.

Util - Class in ch.akuhn.matrix

Utilities

Util() - Constructor for class ch.akuhn.matrix.Util

V

value - Variable in class ch.akuhn.matrix.eigenvalues.Eigenvalues

The eigenvalues

value - Variable in class ch.akuhn.matrix.eigenvalues.SingularValues

Singular values

value - Variable in class ch.akuhn.matrix.Vector.Entry

The value

values - Variable in class ch.akuhn.matrix.DenseMatrix

values() - Method in class ch.akuhn.matrix.SparseVector

vector - Variable in class ch.akuhn.matrix.eigenvalues.Eigenvalues

The eigenvectors

Vector - Class in ch.akuhn.matrix

An ordered list of floating point numbers.

Vector() - Constructor for class ch.akuhn.matrix.Vector

Vector.Entry - Class in ch.akuhn.matrix

An entry in a sparse vector

vectorLeft - Variable in class ch.akuhn.matrix.eigenvalues.SingularValues

Left singular vectors

vectorRight - Variable in class ch.akuhn.matrix.eigenvalues.SingularValues

Right singular vectors

W

wrap(double...) - Static method in class ch.akuhn.matrix.Vector

Wrap an array in a vector

A C D E F G H I K L M N O P R S T U V W