Interface MatrixDecomposition.Ordered<N extends Comparable<N>>

All Superinterfaces:
MatrixDecomposition<N>, Structure1D, Structure2D
All Known Subinterfaces:
Cholesky<N>, Eigenvalue<N>, Eigenvalue.Generalised<N>, Eigenvalue.Spectral<N>, LDL<N>, LDU<N>, LU<N>, MatrixDecomposition.RankRevealing<N>, MatrixDecomposition.Values<N>, QR<N>, SingularValue<N>
All Known Implementing Classes:
DenseCholesky, DenseCholesky.C128, DenseCholesky.H256, DenseCholesky.Q128, DenseCholesky.R064, DenseCholesky.R128, DenseEigenvalue, DenseLDL, DenseLDL.C128, DenseLDL.H256, DenseLDL.Q128, DenseLDL.R064, DenseLDL.R128, DenseLU, DenseLU.C128, DenseLU.H256, DenseLU.Q128, DenseLU.R064, DenseLU.R128, DenseQR, DenseQR.C128, DenseQR.H256, DenseQR.Q128, DenseQR.R064, DenseQR.R128, DenseSingularValue, DenseSingularValue.C128, DenseSingularValue.H256, DenseSingularValue.Q128, DenseSingularValue.R064, DenseSingularValue.R128, DynamicEvD, DynamicEvD.R064, GeneralEvD, GeneralEvD.R064, GeneralisedEvD, HermitianEvD, HermitianEvD.C128, HermitianEvD.H256, HermitianEvD.Q128, HermitianEvD.R064, HermitianEvD.R128, RawCholesky, RawEigenvalue, RawEigenvalue.Dynamic, RawEigenvalue.General, RawEigenvalue.Symmetric, RawLU, RawQR, RawSingularValue, SparseLU, SparseQDLDL
Enclosing interface:
MatrixDecomposition<N extends Comparable<N>>

public static interface MatrixDecomposition.Ordered<N extends Comparable<N>> extends MatrixDecomposition<N>
  • Method Details

    • isOrdered

      boolean isOrdered()
      This is a property of the algorithm/implementation, not the data. Typically relevant for SingularValue, Eigenvalue or any MatrixDecomposition.RankRevealing decomposition.
      Returns:
      true if the rows/columns of the returned matrix factors are guaranteed some specific order; false if there is no such guarantee.