See: Description
Interface  Description 

SpectralRanking.StoppingCriterion 
A a strategy that decides when a computation should be stopped.

Class  Description 

DominantEigenvectorParallelPowerMethod 
Computes the left dominant eigenvalue and eigenvector of a graph using a parallel implementation of the power method.

KatzParallelGaussSeidel 
Computes Katz's index using a parallel implementation of the Gauß–Seidel method; this is the implementation of choice to be used when computing Katz's index.

LeftSingularVectorParallelPowerMethod 
Computes the left singular vector of a graph using a parallel implementation of the power method.

PageRank 
An abstract class defining methods and attributes supporting PageRank computations.

PageRankFromCoefficients 
Computes PageRank using its power series.

PageRankGaussSeidel 
Computes PageRank of a graph using the Gauß–Seidel method.

PageRankParallelGaussSeidel 
Computes PageRank using a parallel (multicore) implementation of the Gauß–Seidel method.

PageRankParallelPowerSeries 
Computes PageRank using a parallel (multicore) implementation of the powerseries method, which runs
the power method starting from the preference vector, thus evaluating the truncated PageRank power series (see
PageRankPowerSeries ). 
PageRankPowerSeries 
Computes PageRank (and possibly its derivatives in the damping factor) using its power series.

PageRankPush 
Computes strongly preferential PageRank for a preference vector concentrated on a node using the push algorithm.

PageRankPush.EmptyQueueStoppingCritertion  
PageRankPush.IntHeapIndirectPriorityQueue  
PageRankPush.L1NormStoppingCritertion  
PowerSeries 
Computes a power series on a graph using a parallel implementation.

SpectralRanking 
A base abstract class defining methods and attributes supporting computations
of graph spectral rankings such as the dominant eigenvector,
PageRank or Katz's index.

SpectralRanking.IterationNumberStoppingCriterion 
A stopping criterion that stops whenever the number of iterations exceeds a given bound.

SpectralRanking.NormStoppingCriterion 
A stopping criterion that evaluates
SpectralRanking.normDelta() , and stops
if this value is smaller than a given threshold. 
Computation of spectral rankings and associated utilities.