Uses of Class
de.uni_leipzig.mcl.cluster.SparseVector

Packages that use SparseVector

de.uni_leipzig.mcl.cluster

Provides the classes which implement the Markov clustering algorithm.

Uses of SparseVector in de.uni_leipzig.mcl.cluster

Methods in de.uni_leipzig.mcl.cluster that return SparseVector

SparseVector	SparseVector.copy() copy the contents of the sparse vector
SparseVector	SparseMatrix.getColum(int i) get a column of the sparse matrix (expensive).
SparseVector	SparseMatrix.normalise(double rowsum) normalise rows to rowsum
SparseVector	SparseMatrix.set(int i, SparseVector x) set the sparse vector at index i.
SparseVector	SparseVector.setSignum(double a) Change signum
SparseVector	SparseMatrix.times(SparseVector v) immutable multiply this times the vector: A * x, i.e., rowwise.
SparseVector	SparseMatrix.vectorTimes(SparseVector v) immutable multiply the vector times this: x' * A, i.e., colwise.

Methods in de.uni_leipzig.mcl.cluster with parameters of type SparseVector

void	SparseVector.add(SparseVector v) mutable add
void	SparseVector.hadamardProduct(SparseVector v) mutable Hadamard product (elementwise multiplication)
SparseVector	SparseMatrix.set(int i, SparseVector x) set the sparse vector at index i.
double	SparseVector.times(SparseVector v) immutable scalar product
SparseVector	SparseMatrix.times(SparseVector v) immutable multiply this times the vector: A * x, i.e., rowwise.
SparseVector	SparseMatrix.vectorTimes(SparseVector v) immutable multiply the vector times this: x' * A, i.e., colwise.

Constructors in de.uni_leipzig.mcl.cluster with parameters of type SparseVector

SparseVector(SparseVector v)
copy constructor