Uses of Class
org.kramerlab.bmad.matrix.BooleanMatrix

Packages that use BooleanMatrix

Package	Description
org.kramerlab.bmad.algorithms	Contains many different implementations of essential parts of a boolean matrix decomposition algorithm, that is: candidate generators, basis selectors, and row combinators.
org.kramerlab.bmad.matrix	Contains implementations of elementary data structures, required to perform boolean matrix decompositions: matrices.

Uses of BooleanMatrix in org.kramerlab.bmad.algorithms

Methods in org.kramerlab.bmad.algorithms that return BooleanMatrix

Modifier and Type	Method and Description
BooleanMatrix	Combinator.combineMatrix(BooleanMatrix a, BooleanMatrix previousCombination, BooleanMatrix basis, double onesWeight) Calculates the combination matrix C, that describes, how each row of the original matrix A can be expressed as boolean combination of basis patterns from basis matrix B.
protected BooleanMatrix	CombinatorPipeline.combineRow(BooleanMatrix row, BooleanMatrix previousCombination, BooleanMatrix basis, double onesWeight)
protected BooleanMatrix	Iter.combineRow(BooleanMatrix row, BooleanMatrix previousCombination, BooleanMatrix basis, double onesWeight)
BooleanMatrix	GreedyCombinator.combineRow(BooleanMatrix row, BooleanMatrix _, BooleanMatrix basis, double onesWeight)
protected abstract BooleanMatrix	Combinator.combineRow(BooleanMatrix row, BooleanMatrix previousCombination, BooleanMatrix basis, double onesWeight) Describes a row of the original matrix as combination of basis rows from the basis matrix.
protected BooleanMatrix	IdentityCombinator.combineRow(BooleanMatrix row, BooleanMatrix previousCombination, BooleanMatrix basis, double onesWeight)
BooleanMatrix	CandidateGenerator.generateCandidates(BooleanMatrix a, int dimension) Generates candidates from the original matrix
BooleanMatrix	RestrictedIntersectionGenerator.generateCandidates(BooleanMatrix a, int dimension)
BooleanMatrix	IntersectionGenerator.generateCandidates(BooleanMatrix a, int dimension)
BooleanMatrix	IdentityGenerator.generateCandidates(BooleanMatrix a, int dimension)
BooleanMatrix	AssociationGenerator.generateCandidates(BooleanMatrix a, int dimension)
BooleanMatrix	Cover.toBooleanMatrix() transforms this cover to a boolean matrix

Methods in org.kramerlab.bmad.algorithms that return types with arguments of type BooleanMatrix

Modifier and Type	Method and Description
Tuple<BooleanMatrix,BooleanMatrix>	BooleanMatrixDecomposition.decompose(BooleanMatrix a, int dimension) Decomposes matrix into two factor matrices.
Tuple<BooleanMatrix,BooleanMatrix>	BooleanMatrixDecomposition.decompose(BooleanMatrix a, int dimension) Decomposes matrix into two factor matrices.
Tuple<BooleanMatrix,BooleanMatrix>	BasisSelector.selectBasis(BooleanMatrix candidates, BooleanMatrix a, int dimension, double onesWeight) Calculates a boolean basis matrix B (second factor), and (optionally) a coarse approximation of the combination matrix C (first factor).
Tuple<BooleanMatrix,BooleanMatrix>	BasisSelector.selectBasis(BooleanMatrix candidates, BooleanMatrix a, int dimension, double onesWeight) Calculates a boolean basis matrix B (second factor), and (optionally) a coarse approximation of the combination matrix C (first factor).
Tuple<BooleanMatrix,BooleanMatrix>	GreedySelector.selectBasis(BooleanMatrix candidates, BooleanMatrix a, int dimension, double onesWeight)
Tuple<BooleanMatrix,BooleanMatrix>	GreedySelector.selectBasis(BooleanMatrix candidates, BooleanMatrix a, int dimension, double onesWeight)
Tuple<BooleanMatrix,BooleanMatrix>	FastLoc.selectBasis(BooleanMatrix candidates, BooleanMatrix a, int dimension, double onesWeight)
Tuple<BooleanMatrix,BooleanMatrix>	FastLoc.selectBasis(BooleanMatrix candidates, BooleanMatrix a, int dimension, double onesWeight)

Methods in org.kramerlab.bmad.algorithms with parameters of type BooleanMatrix

Modifier and Type	Method and Description
BooleanMatrix	Combinator.combineMatrix(BooleanMatrix a, BooleanMatrix previousCombination, BooleanMatrix basis, double onesWeight) Calculates the combination matrix C, that describes, how each row of the original matrix A can be expressed as boolean combination of basis patterns from basis matrix B.
protected BooleanMatrix	CombinatorPipeline.combineRow(BooleanMatrix row, BooleanMatrix previousCombination, BooleanMatrix basis, double onesWeight)
protected BooleanMatrix	Iter.combineRow(BooleanMatrix row, BooleanMatrix previousCombination, BooleanMatrix basis, double onesWeight)
BooleanMatrix	GreedyCombinator.combineRow(BooleanMatrix row, BooleanMatrix _, BooleanMatrix basis, double onesWeight)
protected abstract BooleanMatrix	Combinator.combineRow(BooleanMatrix row, BooleanMatrix previousCombination, BooleanMatrix basis, double onesWeight) Describes a row of the original matrix as combination of basis rows from the basis matrix.
protected BooleanMatrix	IdentityCombinator.combineRow(BooleanMatrix row, BooleanMatrix previousCombination, BooleanMatrix basis, double onesWeight)
double	Cover.coverChangeDensityOnInclusion(BooleanMatrix coveredRow, BooleanMatrix basisRow) weighted cover change (indicating "direction" of the change), divided by the weighted number of changed entries (indicating "magnitude" of the change)
double	Cover.coverChangeOnExclusion(BooleanMatrix coveredRow, BooleanMatrix basisRow) analogous to coverChangeOnInclusion
double	Cover.coverChangeOnInclusion(BooleanMatrix coveredRow, BooleanMatrix basisRow) weighted sum of the results returned by coveredOnesAndZerosOnInclusion
Tuple<Integer,Integer>	Cover.coveredOnesAndZerosOnInclusion(BooleanMatrix coveredRow, BooleanMatrix basisRow) Predicts the number of covered ones and zeros, given the row that is being covered, and the basis row that could be included into this cover.
Tuple<BooleanMatrix,BooleanMatrix>	BooleanMatrixDecomposition.decompose(BooleanMatrix a, int dimension) Decomposes matrix into two factor matrices.
void	Cover.exclude(BooleanMatrix basisRow) Excludes a basis row from this cover
BooleanMatrix	CandidateGenerator.generateCandidates(BooleanMatrix a, int dimension) Generates candidates from the original matrix
BooleanMatrix	RestrictedIntersectionGenerator.generateCandidates(BooleanMatrix a, int dimension)
BooleanMatrix	IntersectionGenerator.generateCandidates(BooleanMatrix a, int dimension)
BooleanMatrix	IdentityGenerator.generateCandidates(BooleanMatrix a, int dimension)
BooleanMatrix	AssociationGenerator.generateCandidates(BooleanMatrix a, int dimension)
void	Cover.include(BooleanMatrix basisRow) Includes a basis row into this cover
Tuple<BooleanMatrix,BooleanMatrix>	BasisSelector.selectBasis(BooleanMatrix candidates, BooleanMatrix a, int dimension, double onesWeight) Calculates a boolean basis matrix B (second factor), and (optionally) a coarse approximation of the combination matrix C (first factor).
Tuple<BooleanMatrix,BooleanMatrix>	GreedySelector.selectBasis(BooleanMatrix candidates, BooleanMatrix a, int dimension, double onesWeight)
Tuple<BooleanMatrix,BooleanMatrix>	FastLoc.selectBasis(BooleanMatrix candidates, BooleanMatrix a, int dimension, double onesWeight)
Tuple<Integer,Integer>	Cover.uncoveredOnesAndZerosOnExclusion(BooleanMatrix coveredRow, BooleanMatrix basisRow) analogous to coveredOnesAndZerosOnInclusion
protected double	DensityGreedyCombinator.usefulness(Cover cover, BooleanMatrix row, BooleanMatrix basisRow)
protected abstract double	GreedyCombinator.usefulness(Cover cover, BooleanMatrix row, BooleanMatrix basisRow)
protected double	CoverGreedyCombinator.usefulness(Cover cover, BooleanMatrix row, BooleanMatrix basisRow)

Uses of BooleanMatrix in org.kramerlab.bmad.matrix

Methods in org.kramerlab.bmad.matrix that return BooleanMatrix

Modifier and Type	Method and Description
BooleanMatrix	BooleanMatrix.booleanProduct(BooleanMatrix other) Calculates the boolean product with the other matrix.
BooleanMatrix	BooleanMatrix.getRow(int r) Extracts single row as separate matrix.
BooleanMatrix	BooleanMatrix.getRows(List<Integer> indices)
BooleanMatrix	BooleanMatrix.mapBoolean(Function<Byte,Byte> function) Map-method, restricted to boolean matrices as output.

Methods in org.kramerlab.bmad.matrix with parameters of type BooleanMatrix

Modifier and Type	Method and Description
void	BooleanMatrix.baxoy(byte alpha, BooleanMatrix x) In-place operation on two row vectors, corresponding to SAXPY in linear algebra
BooleanMatrix	BooleanMatrix.booleanProduct(BooleanMatrix other) Calculates the boolean product with the other matrix.
double	BooleanMatrix.reconstructionError(BooleanMatrix reconstruction, double onesWeight) Calculates the reconstruction error between this matrix and the reconstruction.
Tuple<Double,Double>	BooleanMatrix.relativeOneZeroZeroOneReconstructionError(BooleanMatrix reconstruction, double onesWeight) Calculates the relative 1->0 and 0->1 reconstruction error, that is, the total error divided by total maximum possible error.
double	BooleanMatrix.relativeReconstructionError(BooleanMatrix reconstruction, double onesWeight) Calculates the relative error (error divided by the maximum possible error).
void	BooleanMatrix.setRow(int r, BooleanMatrix row) Analogous to get row: no values are copied

Constructors in org.kramerlab.bmad.matrix with parameters of type BooleanMatrix

Constructor and Description
BooleanMatrix(BooleanMatrix b) Creates a deep copy of another matrix