A B C D E G I J K L M N O P Q R S T U V

A

addColumn(int, double, double[]) - Method in class mpv2.AllMatrices

Add a column of the matrix multiplied by a factor to y, set y[n] = y[n] + s*A[n][k].

addColumn(int, double, double[]) - Method in class mpv2.BandMatrix

Add a column of the matrix multiplied by a factor to a given vector.

addColumn(int, double, double[]) - Method in class mpv2.DiagonalMatrix

Add a column of the matrix multiplied by a factor to x, x = x + A[][k] Legal range of the integer argument is 0 <= k < K.

addColumn(int, double, double[]) - Method in class mpv2.SimpleMatrix

Add a column of the matrix multiplied by a factor to x, x = x + A[][k] Legal range of the integer argument is 0 <= k < K.

addColumn(int, double, double[]) - Method in class mpv2.SparseMatrix

Add a column of the matrix multiplied by a factor to x, x = x + A[][k] Legal range of the integer argument is 0 <= k < K.

addColumn(int, double, double[]) - Method in class mpv2.SparseVectorMatrix

Add a column of the matrix multiplied by a factor to a given vector.

addToArray(double, double[]) - Method in class mpv2.SparseVector

Add this sparse vector multiplied by a factor to the given array.

AllMatrices - Class in mpv2

mpv2 = Matrix package version 2 The abstract class AllMatrices contains common stuff for several kinds of matrices.

AllMatrices() - Constructor for class mpv2.AllMatrices

arrayLeftDivide(JamaMatrix) - Method in class mpv2.JamaMatrix

Element-by-element left division, C = A.

arrayLeftDivideEquals(JamaMatrix) - Method in class mpv2.JamaMatrix

Element-by-element left division in place, A = A.

arrayRightDivide(JamaMatrix) - Method in class mpv2.JamaMatrix

Element-by-element right division, C = A.

arrayRightDivideEquals(JamaMatrix) - Method in class mpv2.JamaMatrix

Element-by-element right division in place, A = A.

arrayTimes(JamaMatrix) - Method in class mpv2.JamaMatrix

Element-by-element multiplication, C = A.

arrayTimesEquals(JamaMatrix) - Method in class mpv2.JamaMatrix

Element-by-element multiplication in place, A = A.

B

BandMatrix - Class in mpv2

This class is a band diagonal matrix implementation of the AllMatrices superclass.

BandMatrix(int, int) - Constructor for class mpv2.BandMatrix

Construct a N×K matrix with only zero values.

BandMatrix(int, int, double[]) - Constructor for class mpv2.BandMatrix

Construct a N×K matrix or dictionary with values from given one-dimensional array (which represents the matrix).

BandMatrix(double[][]) - Constructor for class mpv2.BandMatrix

Construct a matrix from a 2-D array.

BlockMatrix - Class in mpv2

This is a block matrix consisting of four submatrices, Matlab-notation: [ A, B; C, D].

BlockMatrix(AllMatrices, AllMatrices, AllMatrices, AllMatrices) - Constructor for class mpv2.BlockMatrix

Construct a Block matrix with four submatrices, [A, B; C, D].

BMP - Static variable in class mpv2.DictionaryLearning

C

checkNormalized() - Method in class mpv2.MatchingPursuit

Check if dictionary is normalized, and update the normalized indicator.

chol() - Method in class mpv2.AllMatrices

Cholesky Decomposition

chol() - Method in class mpv2.JamaMatrix

Cholesky Decomposition

CholeskyDecomposition - Class in mpv2

Cholesky Decomposition.

CholeskyDecomposition(JamaMatrix) - Constructor for class mpv2.CholeskyDecomposition

Cholesky algorithm for symmetric and positive definite matrix.

clearNormalized() - Method in class mpv2.MatchingPursuit

Clear dictionary normalized indicator, set it to false, without checking.

clone() - Method in class mpv2.DiagonalMatrix

Clone the Matrix object.

clone() - Method in class mpv2.JamaMatrix

Clone the JamaMatrix object.

clone() - Method in class mpv2.PermutationMatrix

Clone the Matrix object.

clone() - Method in class mpv2.SimpleMatrix

Clone the Matrix object.

clone() - Method in class mpv2.SparseVector

Clone the SparseVector object.

clone() - Method in class mpv2.SymmetricMatrix

Clone the Matrix object.

columnNorm0(int) - Method in class mpv2.AllMatrices

The pseudo-zero-norm for a given column

columnNorm1(int) - Method in class mpv2.AllMatrices

One columnNorm for a given column

columnNorm2(int) - Method in class mpv2.AllMatrices

Two columnNorm for a given column

columnNormInf(int) - Method in class mpv2.AllMatrices

Inf columnNorm for a given column

cond() - Method in class mpv2.AllMatrices

Matrix condition (2 norm)

cond() - Method in class mpv2.DiagonalMatrix

Matrix condition (2 norm)

cond() - Method in class mpv2.JamaMatrix

Matrix condition (2 norm)

cond() - Method in class mpv2.PermutationMatrix

Matrix condition (2 norm)

cond() - Method in class mpv2.SingularValueDecomposition

Two norm condition number

constructWithCopy(double[][]) - Static method in class mpv2.JamaMatrix

Construct a matrix from a copy of a 2-D array.

copy() - Method in class mpv2.DiagonalMatrix

Make a deep copy of a matrix

copy() - Method in class mpv2.JamaMatrix

Make a deep copy of a matrix

copy() - Method in class mpv2.PermutationMatrix

Make a deep copy of a matrix

copy() - Method in class mpv2.SimpleMatrix

Make a deep copy of a matrix

copy() - Method in class mpv2.SparseVector

Make a deep copy of a SparseVector.

copy() - Method in class mpv2.SymmetricMatrix

Make a deep copy of a matrix

D

det() - Method in class mpv2.AllMatrices

Matrix determinant

det() - Method in class mpv2.DiagonalMatrix

Matrix determinant

det() - Method in class mpv2.JamaMatrix

Matrix determinant

det() - Method in class mpv2.LUDecomposition

Determinant

det() - Method in class mpv2.LUPDecomposition

Determinant

det() - Method in class mpv2.PermutationMatrix

Matrix determinant

DiagonalMatrix - Class in mpv2

This is a diagonal matrix class made by implementing AllMatrices.

DiagonalMatrix(int) - Constructor for class mpv2.DiagonalMatrix

Construct an n-by-n diagonal matrix of zeros.

DiagonalMatrix(int, double) - Constructor for class mpv2.DiagonalMatrix

Construct an n-by-n diagonal matrix with constant value in each element

DiagonalMatrix(double[][]) - Constructor for class mpv2.DiagonalMatrix

Construct a diagonal matrix from a 2-D array, only values in the diagonal are copied.

DiagonalMatrix(double[]) - Constructor for class mpv2.DiagonalMatrix

Construct a diagonal matrix from a one-dimensional array

DiagonalMatrix(AllMatrices) - Constructor for class mpv2.DiagonalMatrix

Construct a diagonal matrix from another matrix (of any kind) by extracting the elements on the diagonal.

DictionaryLearning - Class in mpv2

DictionaryLearning(AllMatrices, boolean, int) - Constructor for class mpv2.DictionaryLearning

Instantiate an object of this class by giving initial dictionary.

DictionaryLearning(AllMatrices, boolean) - Constructor for class mpv2.DictionaryLearning

E

eig() - Method in class mpv2.AllMatrices

Eigenvalue Decomposition

eig() - Method in class mpv2.JamaMatrix

Eigenvalue Decomposition

EigenvalueDecomposition - Class in mpv2

Eigenvalues and eigenvectors of a real matrix.

EigenvalueDecomposition(JamaMatrix) - Constructor for class mpv2.EigenvalueDecomposition

Check for symmetry, then construct the eigenvalue decomposition Constructor returns a structure to access D and V.

eqConstant(double) - Method in class mpv2.AllMatrices

Set the matrix (this = A) to a constant s, A = s.

eqCopy(AllMatrices) - Method in class mpv2.AllMatrices

Set the matrix (this = A) to B, A = B.

eqCopy(AllMatrices, int, int, int, int) - Method in class mpv2.AllMatrices

Set the matrix (this = A) to a submatrix of B, A = B(i0:i1, j0:j1).

eqCopy(AllMatrices, int[], int[]) - Method in class mpv2.AllMatrices

Set the matrix (this = A) to a submatrix of B, A = B(r[], c[]).

eqCopy(AllMatrices, int, int, int[]) - Method in class mpv2.AllMatrices

Set the matrix (this = A) to a submatrix of B, A = B(i0:i1, c[]).

eqCopy(AllMatrices, int[], int, int) - Method in class mpv2.AllMatrices

Set the matrix (this = A) to a submatrix of B, A = B(r[], j0:j1).

eqDifference(AllMatrices, AllMatrices) - Method in class mpv2.AllMatrices

Set the matrix (this = A) to difference of B and C, A = B - C.

eqEProduct(AllMatrices, AllMatrices) - Method in class mpv2.AllMatrices

Set the matrix (this = A) to elementwise multiplication of B and C, A = B.

eqEQuotient(AllMatrices, AllMatrices) - Method in class mpv2.AllMatrices

Set the matrix (this = A) to elementwise division of B and C, A = B.

eqIdentity() - Method in class mpv2.AllMatrices

Set the matrix (this = A) to identity, A = I.

eqInnerProductMatrix(AllMatrices) - Method in class mpv2.SymmetricMatrix

Set inner-products of matrix B into this, i.e.

eqInverse(AllMatrices) - Method in class mpv2.AllMatrices

Set the matrix (this = A) to the inverse of B, A = inv(B) Matrix dimension must agree, if A is N-by-K then B is K-by-N If the (normal) inverse does not exist, then the Moore-Penrose pseudoivnverse should be returned

eqIProduct(AllMatrices, AllMatrices) - Method in class mpv2.AllMatrices

Set the matrix (this = X) to product of A inverse and B, X = inv(A) * B.

eqNegate(AllMatrices) - Method in class mpv2.AllMatrices

Set the matrix (this = A) to the negative of B, A = -B.

eqOnes() - Method in class mpv2.AllMatrices

Set the matrix (this = A) to ones, A = 1.

eqPermuteColumns(AllMatrices, PermutationMatrix) - Method in class mpv2.AllMatrices

Permute the columns of matrix B and put result in this, A = B * P.

eqPermuteColumns(AllMatrices, PermutationMatrix) - Method in class mpv2.SymmetricMatrix

Permute the columns of matrix B and put result in this, A = B * P.

eqPermuteRows(PermutationMatrix, AllMatrices) - Method in class mpv2.AllMatrices

Permute the rows of matrix B and put result in this, A = P * B.

eqPermuteRows(PermutationMatrix, AllMatrices) - Method in class mpv2.SymmetricMatrix

Permute the rows of matrix B and put result in this, A = P * B.

eqProduct(AllMatrices, double) - Method in class mpv2.AllMatrices

Set the matrix (this = A) to B*s, A = B*s.

eqProduct(AllMatrices, AllMatrices) - Method in class mpv2.AllMatrices

Set the matrix (this = A) to product of B and C, A = B * C.

eqProduct(AllMatrices, double) - Method in class mpv2.SymmetricMatrix

Set the matrix (this = A) to B*s, A = B*s.

eqRandom() - Method in class mpv2.AllMatrices

Set the matrix (this = A) to random elements, A = rand.

eqScaleColumns(AllMatrices, DiagonalMatrix) - Method in class mpv2.AllMatrices

Scale the columns of matrix B and put result in this, A = B * D.

eqScaleColumns(AllMatrices, DiagonalMatrix) - Method in class mpv2.SymmetricMatrix

Scale the columns of matrix B and put result in this, A = B * D.

eqScaleRows(DiagonalMatrix, AllMatrices) - Method in class mpv2.AllMatrices

Scale the rows of matrix B and put result in this, A = D * B.

eqScaleRows(DiagonalMatrix, AllMatrices) - Method in class mpv2.SymmetricMatrix

Scale the rows of matrix B and put result in this, A = D * B.

eqScaleRowsAndColumns(SymmetricMatrix, DiagonalMatrix) - Method in class mpv2.SymmetricMatrix

Scale the rows and columns of symmtric matrix B and put result in this, A = D * B * D.

eqScaleRowsAndColumns(DiagonalMatrix, SymmetricMatrix) - Method in class mpv2.SymmetricMatrix

Scale the rows and columns of symmtric matrix B and put result in this, A = D * B * D.

eqSum(AllMatrices, AllMatrices) - Method in class mpv2.AllMatrices

Set the matrix (this = A) to sum of B and C, A = B + C.

eqTProduct(AllMatrices, AllMatrices) - Method in class mpv2.AllMatrices

Set the matrix (this = A) to product of B transposed and C, A = B' * C.

eqTranspose(AllMatrices) - Method in class mpv2.AllMatrices

Set the matrix (this = A) to the transposed of B, A = B' Matrix dimension must agree.

eqZeros() - Method in class mpv2.AllMatrices

Set the matrix (this = A) to zeros, A = 0.

G

get(int, int) - Method in class mpv2.AllMatrices

Get a single element.

get(int, int) - Method in class mpv2.BandMatrix

Return an entry of the matrix.

get(int, int) - Method in class mpv2.BlockMatrix

Get a single element.

get(int) - Method in class mpv2.DiagonalMatrix

Get a single element, A(n,n).

get(int, int) - Method in class mpv2.DiagonalMatrix

Get a single element, A(n,k).

get(int, int) - Method in class mpv2.JamaMatrix

Get a single element.

get(int, int) - Method in class mpv2.PermutationMatrix

Get a single element, A(n,k).

get(int, int) - Method in class mpv2.RepeatBlockMatrix

Get a single element.

get(int, int) - Method in class mpv2.SimpleMatrix

Get a single element.

get(int, int) - Method in class mpv2.SparseMatrix

Get a single element.

get() - Method in class mpv2.SparseVector

Get the whole vector as an array

get(int) - Method in class mpv2.SparseVector

Get a vector element.

get(int, int) - Method in class mpv2.SparseVectorMatrix

Return an entry of the matrix.

get(int, int) - Method in class mpv2.SymmetricMatrix

Get a single element.

getAll() - Method in class mpv2.AllMatrices

Get all entries of the matrix, as a one-dimensional column-packed array.

getAll(double[]) - Method in class mpv2.AllMatrices

Get all entries of the matrix into argument vals in a column-packed way.

getAll(double[]) - Method in class mpv2.JamaMatrix

Get all entries of the matrix into argument vals in a column-packed way.

getArray() - Method in class mpv2.JamaMatrix

Access the internal two-dimensional array.

getArrayCopy() - Method in class mpv2.JamaMatrix

Copy the internal two-dimensional array.

getCapacity() - Method in class mpv2.SparseMatrix

Returns current size (capacity for non-zero values) in sparse matrix.

getColumn(int) - Method in class mpv2.AllMatrices

Get a column of the matrix.

getColumn(int, double[]) - Method in class mpv2.AllMatrices

Get a column of the matrix into argument y.

getColumn(int, double[]) - Method in class mpv2.BandMatrix

Copy a column of the matrix into argument d Legal range of the integer argument is 0 <= k < K.

getColumn(int, double[]) - Method in class mpv2.BlockMatrix

Copy a column of the matrix into argument y Legal range of the integer argument is 0 <= k < K.

getColumn(int, double[]) - Method in class mpv2.SimpleMatrix

Copy a column of the matrix into argument d Legal range of the integer argument is 0 <= k < K.

getColumn(int) - Method in class mpv2.SparseMatrix

Copy a column of the matrix Legal range of the integer argument is 0 <= k < K.

getColumn(int, double[]) - Method in class mpv2.SparseMatrix

Sets argument d to a column of the matrix, i.e. a dictionary element or atom.

getColumn(int) - Method in class mpv2.SparseVectorMatrix

Get a column in the matrix as an array

getColumn(int, double[]) - Method in class mpv2.SymmetricMatrix

Copy a column of the matrix into argument d Legal range of the integer argument is 0 <= k < K.

getColumnDimension() - Method in class mpv2.AllMatrices

Get column dimension.

getColumnDimension() - Method in class mpv2.JamaMatrix

Get column dimension.

getColumnPackedCopy() - Method in class mpv2.JamaMatrix

Make a one-dimensional column packed copy of the internal array.

getColumnPackedCopy() - Method in class mpv2.SparseMatrix

Make a one-dimensional column packed copy of the matrix.

getD() - Method in class mpv2.EigenvalueDecomposition

Return the block diagonal eigenvalue matrix

getDictionary() - Method in class mpv2.DictionaryLearning

getDoublePivot() - Method in class mpv2.LUDecomposition

Return pivot permutation vector as a one-dimensional double array

getH() - Method in class mpv2.QRDecomposition

Return the Householder vectors

getImagEigenvalues() - Method in class mpv2.EigenvalueDecomposition

Return the imaginary parts of the eigenvalues

getIndexW() - Method in class mpv2.DictionaryLearning

getIndices() - Method in class mpv2.SparseVector

Access the non-zero indices

getInnerProductMatrix() - Method in class mpv2.DictionaryLearning

getK() - Method in class mpv2.AllMatrices

Get number of columns in the matrix, i.e. length of each row vector.

getK() - Method in class mpv2.LUPDecomposition

Get number of columns in the original matrix A, i.e. length of each row vector.

getL() - Method in class mpv2.CholeskyDecomposition

Return triangular factor.

getL() - Method in class mpv2.LUDecomposition

Return lower triangular factor

getLambda() - Method in class mpv2.DictionaryLearning

Calculate and return lambda, the forgetting factor.

getLambda(double) - Method in class mpv2.DictionaryLearning

Calculate and return lambda, the forgetting factor.

getLArray() - Method in class mpv2.LUPDecomposition

Return lower triangular factor as a column-ordered array of length N*M.

getLength() - Method in class mpv2.SparseVector

Returns the lengt of the sparse vector

getLMatrix() - Method in class mpv2.LUPDecomposition

Return lower triangular factor as a BandMatrix object.

getM() - Method in class mpv2.LUPDecomposition

Get number of columns in L and rows in U.

getMatrix(int, int, int, int) - Method in class mpv2.JamaMatrix

Get a submatrix.

getMatrix(int[], int[]) - Method in class mpv2.JamaMatrix

Get a submatrix.

getMatrix(int, int, int[]) - Method in class mpv2.JamaMatrix

Get a submatrix.

getMatrix(int[], int, int) - Method in class mpv2.JamaMatrix

Get a submatrix.

getMPMet() - Method in class mpv2.DictionaryLearning

getN() - Method in class mpv2.AllMatrices

Get number of rows in the matrix, i.e. length of each column vector.

getN() - Method in class mpv2.LUPDecomposition

Get number of rows in the original matrix A, i.e. length of each column vector.

getN() - Method in class mpv2.SparseVector

Returns the lengt of the sparse vector

getNonZeroCount() - Method in class mpv2.SparseMatrix

Returns number of non-zeros elements in sparse matrix.

getNonZeroCount() - Method in class mpv2.SparseVector

Returns number of non-zeros elements in sparse matrix.

getNormalized() - Method in class mpv2.MatchingPursuit

Get dictionary normalized indicator without checking dictionary.

getNoTV() - Method in class mpv2.DictionaryLearning

getPivot() - Method in class mpv2.LUDecomposition

Return pivot permutation vector

getPivot() - Method in class mpv2.LUPDecomposition

Return pivot permutation vector, P(n,k)=1 when p[n]=k.

getPmatrix() - Method in class mpv2.LUPDecomposition

Return the permutation matrix, P as a PermutationMatrix object.

getPos() - Method in class mpv2.PermutationMatrix

Access the internal array pos, we have A(n,k)==1 <=> pos[n]==k.

getQ() - Method in class mpv2.QRDecomposition

Generate and return the (economy-sized) orthogonal factor

getR() - Method in class mpv2.QRDecomposition

Return the upper triangular factor

getRealEigenvalues() - Method in class mpv2.EigenvalueDecomposition

Return the real parts of the eigenvalues

getResidual() - Method in class mpv2.DictionaryLearning

getRow(int) - Method in class mpv2.AllMatrices

Get a row of the matrix.

getRow(int, double[]) - Method in class mpv2.AllMatrices

Get a row of the matrix into argument x.

getRow(int, double[]) - Method in class mpv2.BlockMatrix

Get a row of the matrix into argument x.

getRow(int, double[]) - Method in class mpv2.JamaMatrix

Get a row of the matrix into argument x.

getRow(int, double[]) - Method in class mpv2.SimpleMatrix

Copy a row of the matrix Legal range of the integer argument is 0 <= n < N.

getRow(int) - Method in class mpv2.SparseMatrix

Copy a row of the matrix Legal range of the integer argument is 0 <= n < N.

getRow(int, double[]) - Method in class mpv2.SparseMatrix

Copy a row of the matrix Legal range of the integer argument is 0 <= n < N.

getRow(int, double[]) - Method in class mpv2.SymmetricMatrix

Copy a row of the matrix into argument d

getRowDimension() - Method in class mpv2.AllMatrices

Get row dimension.

getRowDimension() - Method in class mpv2.JamaMatrix

Get row dimension.

getRowPackedCopy() - Method in class mpv2.JamaMatrix

Make a one-dimensional row packed copy of the internal array.

getRowPackedCopy() - Method in class mpv2.SparseMatrix

Make a one-dimensional row packed copy of the matrix.

getS() - Method in class mpv2.SingularValueDecomposition

Return the diagonal matrix of singular values

getSingularValues() - Method in class mpv2.SingularValueDecomposition

Return the one-dimensional array of singular values

getSnrTab() - Method in class mpv2.DictionaryLearning

getSparseColumn(int) - Method in class mpv2.SparseVectorMatrix

Get a copy of a column in the matrix as a SparseVector

getSubMatrix(int, int, int, int) - Method in class mpv2.AllMatrices

Get a one-dimensional column packed copy of a submatrix.

getSubMatrix(int[], int[]) - Method in class mpv2.AllMatrices

Get a one-dimensional column packed copy of a submatrix.

getSubMatrix(int, int, int[]) - Method in class mpv2.AllMatrices

Get a one-dimensional column packed copy of a submatrix.

getSubMatrix(int[], int, int) - Method in class mpv2.AllMatrices

Get a one-dimensional column packed copy of a submatrix.

getSubVector(int, int) - Method in class mpv2.SparseVector

Get a subvector as an array

getSumAllrrTab() - Method in class mpv2.DictionaryLearning

getSumAllwwTab() - Method in class mpv2.DictionaryLearning

getSumAllxxTab() - Method in class mpv2.DictionaryLearning

getSumrr() - Method in class mpv2.DictionaryLearning

getSumrrTab() - Method in class mpv2.DictionaryLearning

getSumww() - Method in class mpv2.DictionaryLearning

getSumwwTab() - Method in class mpv2.DictionaryLearning

getSumxx() - Method in class mpv2.DictionaryLearning

getSumxxTab() - Method in class mpv2.DictionaryLearning

getTheCMatrix() - Method in class mpv2.DictionaryLearning

getU() - Method in class mpv2.LUDecomposition

Return upper triangular factor

getU() - Method in class mpv2.SingularValueDecomposition

Return the left singular vectors

getUArray() - Method in class mpv2.LUPDecomposition

Return upper triangular factor as a column-ordered array of length M*K.

getUMatrix() - Method in class mpv2.LUPDecomposition

Return upper triangular factor as a BandMatrix object.

getV() - Method in class mpv2.EigenvalueDecomposition

Return the eigenvector matrix

getV() - Method in class mpv2.SingularValueDecomposition

Return the right singular vectors

getValue(int, int) - Method in class mpv2.AllMatrices

Get a single element, i.e. the value of an entry of the matrix.

getValues() - Method in class mpv2.SparseVector

Access the non-zero values

getValueW() - Method in class mpv2.DictionaryLearning

getWeights() - Method in class mpv2.DictionaryLearning

I

identity(int, int) - Static method in class mpv2.JamaMatrix

Generate identity matrix

identity(int) - Static method in class mpv2.PermutationMatrix

Generate identity matrix

identity(int) - Static method in class mpv2.SymmetricMatrix

Generate identity matrix

ilsdla(double[], int) - Method in class mpv2.DictionaryLearning

ILS-DLA, prosess several training vectors by Iterative Least Squares, ILS-DLA.

innerProduct(int, int) - Method in class mpv2.AllMatrices

Returns the inner product of two matrix column vectors.

innerProduct(int, int) - Method in class mpv2.BandMatrix

Returns the inner product of two matrix column vectors.

innerProduct(int, int) - Method in class mpv2.DiagonalMatrix

Returns the inner product of two matrix column vectors, which for a diagonal matrix is zero.

innerProduct(int, int) - Method in class mpv2.PermutationMatrix

Returns the inner product of two matrix column vectors, which for a diagonal matrix is zero.

innerProduct(int, int) - Method in class mpv2.SparseMatrix

Returns the inner product of two dictionary elements, i.e. matrix column vectors.

innerProduct() - Method in class mpv2.SparseVector

innerProduct of this sparse vector to itself

innerProduct(double[]) - Method in class mpv2.SparseVector

innerProduct of this and an array if lengths do not match, the shortest vector is extended with zeros

innerProduct(SparseVector) - Method in class mpv2.SparseVector

innerProduct of this and another sparse vector if lengths do not match, the shortest vector is extended with zeros

innerProduct(int, int) - Method in class mpv2.SparseVectorMatrix

Returns the inner product of two matrix column vectors.

innerProductMatrix(AllMatrices) - Static method in class mpv2.SymmetricMatrix

Generate inner-product matrix from input matrix B, i.e.

inverse() - Method in class mpv2.JamaMatrix

Matrix inverse or pseudoinverse

isFullRank() - Method in class mpv2.QRDecomposition

Is the matrix full rank?

isNonsingular() - Method in class mpv2.LUDecomposition

Is the matrix nonsingular?

isNonsingular() - Method in class mpv2.LUPDecomposition

Is the matrix nonsingular?

isSPD() - Method in class mpv2.CholeskyDecomposition

Is the matrix symmetric and positive definite?

J

JamaMatrix - Class in mpv2

Jama = Java Matrix class.

JamaMatrix(int, int) - Constructor for class mpv2.JamaMatrix

Construct an m-by-n matrix of zeros.

JamaMatrix(int, int, double) - Constructor for class mpv2.JamaMatrix

Construct an m-by-n constant matrix.

JamaMatrix(double[][]) - Constructor for class mpv2.JamaMatrix

Construct a matrix from a 2-D array.

JamaMatrix(double[][], int, int) - Constructor for class mpv2.JamaMatrix

Construct a matrix quickly without checking arguments.

JamaMatrix(double[], int) - Constructor for class mpv2.JamaMatrix

Construct a matrix from a one-dimensional packed array

JamaMatrix(AllMatrices) - Constructor for class mpv2.JamaMatrix

Construct a new matrix from another matrix (of any kind) if argument B is an object of class JamaMatrix this is the same as (deep) copy (or clone).

K

K - Variable in class mpv2.AllMatrices

Row and column dimensions.

L

lu() - Method in class mpv2.AllMatrices

LU Decomposition

lu() - Method in class mpv2.JamaMatrix

LU Decomposition

LUDecomposition - Class in mpv2

LU Decomposition.

LUDecomposition(JamaMatrix) - Constructor for class mpv2.LUDecomposition

LU Decomposition Constructor returns a structure to access L, U and piv.

lup() - Method in class mpv2.AllMatrices

LUP Decomposition

LUPDecomposition - Class in mpv2

LUP Decomposition, P*A = L*U A is N-by-K, P is N-by-N, M is Math.min(N,K), then L is N-by-M and U is M-by-K

LUPDecomposition(AllMatrices) - Constructor for class mpv2.LUPDecomposition

LUP Decomposition, P*A = L*U Constructor returns a structure to access L, U and P.

LUPDecomposition(int, int, double[]) - Constructor for class mpv2.LUPDecomposition

LUP Decomposition, P*A = L*U Constructor returns a structure to access L, U and P.

LUPDecomposition(double[]) - Constructor for class mpv2.LUPDecomposition

LUP Decomposition, P*A = L*U.

M

main(String[]) - Static method in class mpv2.QuickSort

MatchingPursuit - Class in mpv2

This class includes several closely related algorithmes for Matching Pursuit (MP).

MatchingPursuit(AllMatrices) - Constructor for class mpv2.MatchingPursuit

Instantiate an object of this class, and thus making the vector selection algorithms available to the calling program.

MatchingPursuit(AllMatrices, SymmetricMatrix) - Constructor for class mpv2.MatchingPursuit

Instantiate an object of this class, and thus making the vector selection algorithms available to the calling program.

minus(JamaMatrix) - Method in class mpv2.JamaMatrix

C = A - B

minusEquals(JamaMatrix) - Method in class mpv2.JamaMatrix

A = A - B

mpv2 - package mpv2

N

N - Variable in class mpv2.AllMatrices

Row and column dimensions.

norm0() - Method in class mpv2.SparseVector

The pseudo-zero-norm, do not count any zeros stored (which may happen)

norm1() - Method in class mpv2.AllMatrices

One norm

norm1() - Method in class mpv2.JamaMatrix

One norm

norm1() - Method in class mpv2.SparseVector

One norm

norm2() - Method in class mpv2.AllMatrices

Two norm

norm2() - Method in class mpv2.DiagonalMatrix

Two norm

norm2() - Method in class mpv2.JamaMatrix

Two norm

norm2() - Method in class mpv2.PermutationMatrix

Two norm

norm2() - Method in class mpv2.SingularValueDecomposition

Two norm

norm2() - Method in class mpv2.SparseVector

Two norm

normF() - Method in class mpv2.AllMatrices

Frobenius norm

normF() - Method in class mpv2.DiagonalMatrix

Frobenius norm

normF() - Method in class mpv2.JamaMatrix

Frobenius norm

normF() - Method in class mpv2.PermutationMatrix

Frobenius norm

normF() - Method in class mpv2.SparseMatrix

Frobenius norm

normInf() - Method in class mpv2.AllMatrices

Infinity norm

normInf() - Method in class mpv2.JamaMatrix

Infinity norm

normInf() - Method in class mpv2.SparseVector

Inf norm

O

OMP - Static variable in class mpv2.DictionaryLearning

ORMP - Static variable in class mpv2.DictionaryLearning

P

perfectShuffle(int, int) - Static method in class mpv2.PermutationMatrix

Generate perfect shuffle (stride) permutation matrix.

PermutationMatrix - Class in mpv2

This is a permutation matrix class made by implementing AllMatrices.

PermutationMatrix(int) - Constructor for class mpv2.PermutationMatrix

Construct an n-by-n permutation matrix with ones on the diagonal, i.e. identity matrix.

PermutationMatrix(int[]) - Constructor for class mpv2.PermutationMatrix

Construct an N-by-N permutation matrix from a vector p, A(n,k)==1 <=> p[n]==k.

PermutationMatrix(double[]) - Constructor for class mpv2.PermutationMatrix

Construct an n-by-n permutation matrix which will make the given array when the matrix is applied to the sorted sequence, ord = A*ascending(ord).

plus(JamaMatrix) - Method in class mpv2.JamaMatrix

C = A + B

pluseqOuterProduct(double, double, double[], double[]) - Method in class mpv2.AllMatrices

Add outer product of two vectors to this, A = s1*A + s2*(u*v').

pluseqOuterProduct(double, double, double[], double[]) - Method in class mpv2.SymmetricMatrix

Add outer product of two vectors to this, A = s1*A + s2*(u*v'+v*u').

pluseqOuterProduct(double, double, double[]) - Method in class mpv2.SymmetricMatrix

Add outer product of a vector to scaled this, A = s1*A + s2*(u*u').

plusEquals(JamaMatrix) - Method in class mpv2.JamaMatrix

A = A + B

print(int, int) - Method in class mpv2.AllMatrices

Print the matrix to stdout.

print(PrintWriter, int, int) - Method in class mpv2.AllMatrices

Print the matrix to the output stream.

print(NumberFormat, int) - Method in class mpv2.AllMatrices

Print the matrix to stdout.

print(PrintWriter, NumberFormat, int) - Method in class mpv2.AllMatrices

Print the matrix to the output stream.

print(int, int) - Method in class mpv2.JamaMatrix

Print the matrix to stdout.

print(PrintWriter, int, int) - Method in class mpv2.JamaMatrix

Print the matrix to the output stream.

print(NumberFormat, int) - Method in class mpv2.JamaMatrix

Print the matrix to stdout.

print(PrintWriter, NumberFormat, int) - Method in class mpv2.JamaMatrix

Print the matrix to the output stream.

print() - Method in class mpv2.SparseVector

Print the sparse vector to stdout.

print(int, int) - Method in class mpv2.SparseVector

Print the sparse vector to stdout.

print(PrintWriter, int, int) - Method in class mpv2.SparseVector

Print the sparse vector to stdout.

print(NumberFormat, int) - Method in class mpv2.SparseVector

Print the sparse vector to stdout.

print(PrintWriter, NumberFormat, int) - Method in class mpv2.SparseVector

Print the sparse vector to stdout.

PS - Static variable in class mpv2.DictionaryLearning

Q

qr() - Method in class mpv2.AllMatrices

QR Decomposition

qr() - Method in class mpv2.JamaMatrix

QR Decomposition

QRDecomposition - Class in mpv2

QR Decomposition.

QRDecomposition(JamaMatrix) - Constructor for class mpv2.QRDecomposition

QR Decomposition, computed by Householder reflections.

QuickSort - Class in mpv2

QuickSort() - Constructor for class mpv2.QuickSort

quicksort(double[]) - Static method in class mpv2.QuickSort

Quicksort code from Sedgewick 7.1, 7.2.

quicksort(double[], int, int) - Static method in class mpv2.QuickSort

quicksort(double[], double[]) - Static method in class mpv2.QuickSort

quicksort(double[], double[], int, int) - Static method in class mpv2.QuickSort

quicksort(int[], double[]) - Static method in class mpv2.QuickSort

quicksort(int[], double[], int, int) - Static method in class mpv2.QuickSort

quicksort(double[], int[]) - Static method in class mpv2.QuickSort

quicksort(double[], int[], int, int) - Static method in class mpv2.QuickSort

quicksort(int[]) - Static method in class mpv2.QuickSort

quicksort(int[], int, int) - Static method in class mpv2.QuickSort

quicksort(int[], int[]) - Static method in class mpv2.QuickSort

quicksort(int[], int[], int, int) - Static method in class mpv2.QuickSort

R

random(int, int) - Static method in class mpv2.JamaMatrix

Generate matrix with random elements

random(int) - Static method in class mpv2.PermutationMatrix

Generate randon permutation matrix

rank() - Method in class mpv2.AllMatrices

Matrix rank

rank() - Method in class mpv2.DiagonalMatrix

Matrix rank

rank() - Method in class mpv2.JamaMatrix

Matrix rank

rank() - Method in class mpv2.PermutationMatrix

Matrix rank

rank() - Method in class mpv2.SingularValueDecomposition

Effective numerical matrix rank

read(BufferedReader) - Static method in class mpv2.JamaMatrix

Read a matrix from a stream.

RepeatBlockMatrix - Class in mpv2

This is a block (e.g. band) diagonal matrix where the block is the same each time it is repeated.

RepeatBlockMatrix(AllMatrices, int, int, int) - Constructor for class mpv2.RepeatBlockMatrix

Construct a Block matrix with given matrix M.

reverse(int) - Static method in class mpv2.PermutationMatrix

Generate reverse matrix

rlsdla(double[], int) - Method in class mpv2.DictionaryLearning

RLS-DLA, prosess several training vectors by RLS-DLA.

rlsdla1(double[]) - Method in class mpv2.DictionaryLearning

RLS-DLA-1 Prosess a single training vector, one iteration of RLS-DLA.

S

set(int, int, double) - Method in class mpv2.AllMatrices

Set a single element.

set(int, int, double) - Method in class mpv2.BandMatrix

Set an entry (a value) in the matrix.

set(int, int, double) - Method in class mpv2.BlockMatrix

Set a single element.

set(int, double) - Method in class mpv2.DiagonalMatrix

Set a single element, A(n,n)=s.

set(int, int, double) - Method in class mpv2.DiagonalMatrix

Set a single element, A(n,k)=s, but only if (n==k).

set(int, int, double) - Method in class mpv2.JamaMatrix

Set a single element.

set(int, int, double) - Method in class mpv2.PermutationMatrix

Set a single element, A(n,k)=s, this is not allowed som method just return.

set(int, int, double) - Method in class mpv2.RepeatBlockMatrix

Set a single element.

set(int, int, double) - Method in class mpv2.SimpleMatrix

Set a single element.

set(int, int, double) - Method in class mpv2.SparseMatrix

Set an entry (a value) in the dictionary.

set(int, double) - Method in class mpv2.SparseVector

Set a vector element.

set(int, int, double) - Method in class mpv2.SparseVectorMatrix

Set an entry (a value) in the matrix.

set(int, int, double) - Method in class mpv2.SymmetricMatrix

Set one or two elements in the symmetric matrix A(n,k)=A(k,n)=s.

setAll(double[]) - Method in class mpv2.AllMatrices

Set all entries of the matrix to the supplied new values.

setAll(double[]) - Method in class mpv2.BandMatrix

Set all entries of to matrix to the supplied new values If argument is wrong length an IllegalArgumentException is thrown.

setAll(double[]) - Method in class mpv2.DiagonalMatrix

Set all entries of to matrix to the supplied new values If argument is wrong length an IllegalArgumentException is thrown.

setAll(double[]) - Method in class mpv2.JamaMatrix

Set all entries of the matrix to the supplied new values.

setAll(double[]) - Method in class mpv2.SimpleMatrix

Set all entries of to matrix to the supplied new values If argument is wrong length an IllegalArgumentException is thrown.

setAll(double[]) - Method in class mpv2.SparseMatrix

Set all entries of to matrix to the supplied new values If argument is wrong length an IllegalArgumentException is thrown.

setAll(double[]) - Method in class mpv2.SparseVectorMatrix

Set all entries of to matrix to the supplied new values If argument is wrong length an IllegalArgumentException is thrown.

setAll(double[]) - Method in class mpv2.SymmetricMatrix

Set all entries of the matrix to the supplied new values.

setBMP() - Method in class mpv2.DictionaryLearning

setBMP(int) - Method in class mpv2.DictionaryLearning

Set the Matching Pursuit Method to BMP and parameters to use.

setColumn(int, double[]) - Method in class mpv2.AllMatrices

Copy an array (y) into a column of the matrix.

setColumn(int, double[]) - Method in class mpv2.BandMatrix

Replace a column in the dictionary with the given column vector.

setColumn(int, double[]) - Method in class mpv2.SimpleMatrix

Copy an array (d) into a column of the matrix Legal range of the integer argument is 0 <= k < K.

setColumn(int, double[]) - Method in class mpv2.SparseVectorMatrix

Replace a column in the matrix with the given column vector.

setColumn(int, SparseVector) - Method in class mpv2.SparseVectorMatrix

Replace a column in the matrix with a copy of the given column.

setColumn(int, double[]) - Method in class mpv2.SymmetricMatrix

Copy an array (d) into a column, and a row, of the matrix

setLambda(char, double, double, double) - Method in class mpv2.DictionaryLearning

Set how to calculate the class variable lambda, the forgetting factor.

setLoggOff() - Method in class mpv2.DictionaryLearning

setLoggOn() - Method in class mpv2.DictionaryLearning

setMatrix(int, int, int, int, JamaMatrix) - Method in class mpv2.JamaMatrix

Set a submatrix.

setMatrix(int[], int[], JamaMatrix) - Method in class mpv2.JamaMatrix

Set a submatrix.

setMatrix(int[], int, int, JamaMatrix) - Method in class mpv2.JamaMatrix

Set a submatrix.

setMatrix(int, int, int[], JamaMatrix) - Method in class mpv2.JamaMatrix

Set a submatrix.

setNormalized() - Method in class mpv2.MatchingPursuit

Set dictionary normalized indicator to true without checking.

setOMP() - Method in class mpv2.DictionaryLearning

setOMP(int, double, double) - Method in class mpv2.DictionaryLearning

Set the Matching Pursuit Method to OMP and parameters to use.

setORMP() - Method in class mpv2.DictionaryLearning

setORMP(int, double, double) - Method in class mpv2.DictionaryLearning

Set the Matching Pursuit Method to ORMP and parameters to use.

setPS() - Method in class mpv2.DictionaryLearning

setPS(int, double, double, int) - Method in class mpv2.DictionaryLearning

Set the Matching Pursuit Method to Partial Search and parameters to use.

setRow(int, double[]) - Method in class mpv2.AllMatrices

Copy an array (x) into a row of the matrix.

setRow(int, double[]) - Method in class mpv2.JamaMatrix

Copy an array (x) into a row of the matrix.

setRow(int, double[]) - Method in class mpv2.SimpleMatrix

Set a row of the matrix Legal range of the integer argument is 0 <= n < N.

setRow(int, double[]) - Method in class mpv2.SymmetricMatrix

Set a row, and a column, of the matrix

setValue(int, int, double) - Method in class mpv2.AllMatrices

Set a single element, i.e. an entry (a value) in the matrix.

setVerbose(int) - Method in class mpv2.DictionaryLearning

Set verbose and veryVerbose

SimpleMatrix - Class in mpv2

This is a simple matrix class made by implementing AllMatrices as simple as possible.

SimpleMatrix(int, int) - Constructor for class mpv2.SimpleMatrix

Construct an m-by-n matrix of zeros.

SimpleMatrix(int, int, double) - Constructor for class mpv2.SimpleMatrix

Construct an m-by-n constant matrix.

SimpleMatrix(double[][]) - Constructor for class mpv2.SimpleMatrix

Construct a matrix from a 2-D array, all values are copied.

SimpleMatrix(double[], int) - Constructor for class mpv2.SimpleMatrix

Construct a matrix from a one-dimensional packed array

SimpleMatrix(AllMatrices) - Constructor for class mpv2.SimpleMatrix

Construct a new matrix from another matrix (of any kind) if argument B is an object of class SimpleMatrix this is the same as (deep) copy (or clone).

SingularValueDecomposition - Class in mpv2

Singular Value Decomposition.

SingularValueDecomposition(JamaMatrix) - Constructor for class mpv2.SingularValueDecomposition

Construct the singular value decomposition Constructor returns a structure to access U, S and V.

solve(JamaMatrix) - Method in class mpv2.CholeskyDecomposition

Solve A*X = B

solve(JamaMatrix) - Method in class mpv2.JamaMatrix

Solve A*X = B

solve(JamaMatrix) - Method in class mpv2.LUDecomposition

Solve A*X = B

solve(JamaMatrix) - Method in class mpv2.QRDecomposition

Least squares solution of A*X = B

solveArray(double[]) - Method in class mpv2.LUPDecomposition

Solve A*x = b

solveArray(AllMatrices) - Method in class mpv2.LUPDecomposition

Solve A*X = B, X is returned as an array.

solveMatrix(AllMatrices) - Method in class mpv2.LUPDecomposition

Solve A*X = B, X is returned as a SimpleMatrix object.

solveTranspose(JamaMatrix) - Method in class mpv2.JamaMatrix

Solve X*A = B, which is also A'*X' = B'

SparseMatrix - Class in mpv2

This class is a sparse matrix implementation.

SparseMatrix(int, int) - Constructor for class mpv2.SparseMatrix

Construct an m-by-n sparse matrix of zeros.

SparseMatrix(double[][]) - Constructor for class mpv2.SparseMatrix

Construct a matrix from a 2-D array.

SparseMatrix(double[], int) - Constructor for class mpv2.SparseMatrix

Construct a matrix from a one-dimensional packed array

SparseMatrix(AllMatrices) - Constructor for class mpv2.SparseMatrix

Construct a new matrix from another matrix (of any kind)

SparseVector - Class in mpv2

This class is a sparse vector implementation.

SparseVector(int) - Constructor for class mpv2.SparseVector

Construct a length n sparse vector of zeros.

SparseVector(double[]) - Constructor for class mpv2.SparseVector

Construct a sparse vector from an array.

SparseVector(int, int[], double[]) - Constructor for class mpv2.SparseVector

Construct a length n sparse vector with non-zero indices and values supplied.

SparseVectorMatrix - Class in mpv2

This class is a matrix implementation of the AllMatrices superclass, where each column is a SparseVector.

SparseVectorMatrix(int, int) - Constructor for class mpv2.SparseVectorMatrix

Construct a N×K matrix with only zero values.

SparseVectorMatrix(double[], int) - Constructor for class mpv2.SparseVectorMatrix

Construct a matrix from a one-dimensional packed array

SparseVectorMatrix(double[][]) - Constructor for class mpv2.SparseVectorMatrix

Construct a matrix from a 2-D array, all values are copied.

SparseVectorMatrix(AllMatrices) - Constructor for class mpv2.SparseVectorMatrix

Construct a new matrix from another matrix (of any kind)

sumAll() - Method in class mpv2.AllMatrices

Sum of all elements in matrix

sumAll() - Method in class mpv2.SimpleMatrix

Sum of all elements in matrix

svd() - Method in class mpv2.AllMatrices

Singular Value Decomposition

svd() - Method in class mpv2.JamaMatrix

Singular Value Decomposition

SymmetricMatrix - Class in mpv2

This is a symmetric matrix class made by implementing AllMatrices.

SymmetricMatrix(int) - Constructor for class mpv2.SymmetricMatrix

Construct an n-by-n matrix of zeros.

SymmetricMatrix(int, int) - Constructor for class mpv2.SymmetricMatrix

Construct an n-by-n matrix of zeros.

SymmetricMatrix(int, int, double) - Constructor for class mpv2.SymmetricMatrix

Construct an m-by-n constant matrix.

SymmetricMatrix(double[][]) - Constructor for class mpv2.SymmetricMatrix

Construct a matrix from a 2-D array, only lower-left-values are used.

SymmetricMatrix(AllMatrices) - Constructor for class mpv2.SymmetricMatrix

Construct a new matrix from another matrix (of any kind), only lower-left-values are used.

T

test(int) - Static method in class mpv2.QuickSort

times(double[]) - Method in class mpv2.AllMatrices

Multiplies the matrix by an array (vector), return y = A*x.

times(SparseVector) - Method in class mpv2.AllMatrices

Multiplies the matrix by a SparseVector x, return y = A*x.

times(double[], double[]) - Method in class mpv2.AllMatrices

Multiplies the matrix by an array (vector), set y = A*x.

times(SparseVector, double[]) - Method in class mpv2.AllMatrices

Multiplies the matrix by a SparseVector x, set y = A*x.

times(double[], double[]) - Method in class mpv2.BandMatrix

Multiplies the matrix by an array.

times(double[], double[]) - Method in class mpv2.DiagonalMatrix

Multiplies the matrix by an array, x = A*y.

times(double) - Method in class mpv2.JamaMatrix

Multiply a matrix by a scalar, C = s*A

times(JamaMatrix) - Method in class mpv2.JamaMatrix

Linear algebraic matrix multiplication, A * B

times(double[], double[]) - Method in class mpv2.PermutationMatrix

Multiplies the matrix by an array, x = A*y.

times(double[], double[]) - Method in class mpv2.SparseMatrix

Multiplies the dictionary D by array y.

times(AllMatrices) - Method in class mpv2.SparseMatrix

Multiplies the matrix by an another matrix, return C = A * B

times(double[], double[]) - Method in class mpv2.SparseVectorMatrix

Multiplies the matrix by an array.

timeseqScaleColumns(DiagonalMatrix) - Method in class mpv2.SimpleMatrix

Scale the columns of this, A *= D which is A = A * D.

timeseqScaleRows(DiagonalMatrix) - Method in class mpv2.SimpleMatrix

Scale the rows of this, A *= D which is A = D * A.

timesEquals(double) - Method in class mpv2.JamaMatrix

Multiply a matrix by a scalar in place, A = s*A

trace() - Method in class mpv2.AllMatrices

Matrix trace.

trace() - Method in class mpv2.JamaMatrix

Matrix trace.

transpose() - Method in class mpv2.JamaMatrix

JamaMatrix transpose.

transposeTimes(double[]) - Method in class mpv2.AllMatrices

Multiplies the transposed matrix by an array (vector), return x = A'*y.

transposeTimes(SparseVector) - Method in class mpv2.AllMatrices

Multiplies the transposed matrix by a SparseVector y, return x = A'*y.

transposeTimes(double[], double[]) - Method in class mpv2.AllMatrices

Multiplies the transposed matrix by an array (vector), set x = A'*y.

transposeTimes(SparseVector, double[]) - Method in class mpv2.AllMatrices

Multiplies the transposed matrix by a SparseVector y, set x = A'*y.

transposeTimes(double[], double[]) - Method in class mpv2.BandMatrix

Multiplies the transposed matrix by an array.

transposeTimes(double[], double[]) - Method in class mpv2.DiagonalMatrix

Multiplies the transposed matrix by an array, y = A'*x.

transposeTimes(double[], double[]) - Method in class mpv2.PermutationMatrix

Multiplies the transposed matrix by an array, y = A'*x.

transposeTimes(double[], double[]) - Method in class mpv2.SparseMatrix

Multiplies the transposed dictionary D' by array x.

transposeTimes(AllMatrices) - Method in class mpv2.SparseMatrix

Multiplies the transposed matrix by an another matrix, return B = A' * C

transposeTimes(double[], double[]) - Method in class mpv2.SparseVectorMatrix

Multiplies the transposed matrix by an array.

U

uminus() - Method in class mpv2.JamaMatrix

Unary minus

V

vsBMP(double[], int) - Method in class mpv2.MatchingPursuit

Use the Basic Matching Pursuit algoritm to find the sparse weight vector w such that ||x-D·w|| is minimized (but not minimal) subject to sparseness in w.

vsOMP(double[], int) - Method in class mpv2.MatchingPursuit

Uses the Orthogonal Matching Pursuit algoritm to find the sparse weight vector w such that ||x-D·w|| is minimized (but not minimal) subject to sparseness in w.

vsOMP(double[], double) - Method in class mpv2.MatchingPursuit

Uses the Orthogonal Matching Pursuit algoritm to find the sparse weight vector w such that ||x-D·w|| is minimized (but not minimal) subject to sparseness in w.

vsOMP(double[], int, double) - Method in class mpv2.MatchingPursuit

Uses the Orthogonal Matching Pursuit algoritm to find the sparse weight vector w such that ||x-D·w|| is minimized (but not minimal) subject to sparseness in w.

vsORMP(double[], int) - Method in class mpv2.MatchingPursuit

Uses the Order Recursive Matching Pursuit algoritm to find the sparse weight vector w such that ||x-D·w|| is minimized (but not minimal) subject to sparseness in w.

vsORMP(double[], double) - Method in class mpv2.MatchingPursuit

Uses the Order Recursive Matching Pursuit algoritm to find the sparse weight vector w such that ||x-D·w|| is minimized (but not minimal) subject to sparseness in w.

vsORMP(double[], int, double) - Method in class mpv2.MatchingPursuit

Uses the Order Recursive Matching Pursuit algoritm to find the sparse weight vector w such that ||x-D·w|| is minimized (but not minimal) subject to sparseness in w.

vsPS(double[], int, double, int) - Method in class mpv2.MatchingPursuit

Do Vector Selection by Partial Search.

vsSelectBest(double[]) - Method in class mpv2.MatchingPursuit

Finds the dictionary vector that best match the given signal.

A B C D E G I J K L M N O P Q R S T U V