## Uses of Interface
org.apache.mahout.math.VectorIterable

Packages that use VectorIterable
org.apache.mahout.math: Core base classes; Operations on primitive arrays such as sorting, partitioning and permuting.
org.apache.mahout.math.decomposer
org.apache.mahout.math.decomposer.lanczos

Uses of VectorIterable in org.apache.mahout.math

Subinterfaces of VectorIterable in org.apache.mahout.math
`interface` `Matrix` The basic interface including numerous convenience functions

Classes in org.apache.mahout.math that implement VectorIterable
`class` `AbstractMatrix` A few universal implementations of convenience functions
`class` `DenseMatrix` Matrix of doubles implemented using a 2-d array
`class` `MatrixView` Implements subset view of a Matrix
`class` `SparseColumnMatrix` sparse matrix with general element values whose columns are accessible quickly.
`class` `SparseMatrix` Doubly sparse matrix.
`class` `SparseRowMatrix` sparse matrix with general element values whose rows are accessible quickly.
`class` `VectorList` Provides a very flexible matrix that is based on a simple list of vectors.

Methods in org.apache.mahout.math that return VectorIterable
`static VectorIterable` `OrthonormalityVerifier.pairwiseInnerProducts(java.lang.Iterable<MatrixSlice> basis)`

Uses of VectorIterable in org.apache.mahout.math.decomposer

Methods in org.apache.mahout.math.decomposer with parameters of type VectorIterable
`protected EigenStatus` `AsyncEigenVerifier.innerVerify(VectorIterable corpus, Vector vector)`
`EigenStatus` `SingularVectorVerifier.verify(VectorIterable eigenMatrix, Vector vector)`
`EigenStatus` `SimpleEigenVerifier.verify(VectorIterable corpus, Vector vector)`
`EigenStatus` `AsyncEigenVerifier.verify(VectorIterable corpus, Vector vector)`

Uses of VectorIterable in org.apache.mahout.math.decomposer.lanczos

Methods in org.apache.mahout.math.decomposer.lanczos with parameters of type VectorIterable
`protected Vector` `LanczosSolver.getInitialVector(VectorIterable corpus)`
`void` `LanczosSolver.solve(VectorIterable corpus, int desiredRank, Matrix eigenVectors, java.util.List<java.lang.Double> eigenValues)`
`void` `LanczosSolver.solve(VectorIterable corpus, int desiredRank, Matrix eigenVectors, java.util.List<java.lang.Double> eigenValues, boolean isSymmetric)`

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