Package org.ejml.dense.row.factory

Class DecompositionFactory_MT_FDRM

java.lang.Object
org.ejml.dense.row.factory.DecompositionFactory_MT_FDRM
@Generated("org.ejml.dense.row.factory.DecompositionFactory_MT_DDRM") public class DecompositionFactory_MT_FDRM extends Object

Contains concurrent implementations of different decompositions.

  • Constructor Details

    • DecompositionFactory_MT_FDRM

      public DecompositionFactory_MT_FDRM()

  • Method Details

    • chol

      public static CholeskyDecomposition_F32<FMatrixRMaj> chol(int matrixSize, boolean lower)

      Returns a CholeskyDecomposition_F32 that has been optimized for the specified matrix size.

      Parameters:
      matrixSize - Number of rows and columns that the returned decomposition is optimized for.
      lower - should a lower or upper triangular matrix be used. If not sure set to true.
      Returns:
      A new CholeskyDecomposition.

    • chol

      public static CholeskyDecomposition_F32<FMatrixRMaj> chol(boolean lower)
      Returns a CholeskyDecomposition_F32 that isn't specialized for any specific matrix size.
      Parameters:
      lower - should a lower or upper triangular matrix be used. If not sure set to true.
      Returns:
      A new CholeskyDecomposition.

    • svd

      public static SingularValueDecomposition_F32<FMatrixRMaj> svd(int numRows, int numCols, boolean needU, boolean needV, boolean compact)

      Returns a SingularValueDecomposition that has been optimized for the specified matrix size. For improved performance only the portion of the decomposition that the user requests will be computed.

      Parameters:
      numRows - Number of rows the returned decomposition is optimized for.
      numCols - Number of columns that the returned decomposition is optimized for.
      needU - Should it compute the U matrix. If not sure set to true.
      needV - Should it compute the V matrix. If not sure set to true.
      compact - Should it compute the SVD in compact form. If not sure set to false.
      Returns:
      SVD

    • svd

      public static SingularValueDecomposition_F32<FMatrixRMaj> svd(boolean needU, boolean needV, boolean compact)
      Returns a SingularValueDecomposition that is NOT optimized for any specified matrix size.
      Parameters:
      needU - Should it compute the U matrix. If not sure set to true.
      needV - Should it compute the V matrix. If not sure set to true.
      compact - Should it compute the SVD in compact form. If not sure set to false.
      Returns:
      SVD

    • qr

      public static QRDecomposition<FMatrixRMaj> qr(int numRows, int numCols)

      Returns a QRDecomposition that has been optimized for the specified matrix size.

      Parameters:
      numRows - Number of rows the returned decomposition is optimized for.
      numCols - Number of columns that the returned decomposition is optimized for.
      Returns:
      QRDecomposition

    • qr

      public static QRDecomposition<FMatrixRMaj> qr()

    • eig

      public static EigenDecomposition_F32<FMatrixRMaj> eig(int matrixSize, boolean needVectors)

      Returns an EigenDecomposition that has been optimized for the specified matrix size. If the input matrix is symmetric within tolerance then the symmetric algorithm will be used, otherwise a general purpose eigenvalue decomposition is used.

      Parameters:
      matrixSize - Number of rows and columns that the returned decomposition is optimized for.
      needVectors - Should eigenvectors be computed or not. If not sure set to true.
      Returns:
      A new EigenDecomposition

    • eig

      public static EigenDecomposition_F32<FMatrixRMaj> eig(boolean needVectors)

    • eig

      public static EigenDecomposition_F32<FMatrixRMaj> eig(int matrixSize, boolean computeVectors, boolean isSymmetric)

      Returns an EigenDecomposition which is specialized for symmetric matrices or the general problem.

      Parameters:
      matrixSize - Number of rows and columns that the returned decomposition is optimized for.
      computeVectors - Should it compute the eigenvectors or just eigenvalues.
      isSymmetric - If true then the returned algorithm is specialized only for symmetric matrices, if false then a general purpose algorithm is returned.
      Returns:
      EVD for any matrix.

    • eig

      public static EigenDecomposition_F32<FMatrixRMaj> eig(boolean computeVectors, boolean isSymmetric)

    • tridiagonal

      public static TridiagonalSimilarDecomposition_F32<FMatrixRMaj> tridiagonal(int matrixSize)
      Checks to see if the passed in tridiagonal decomposition is of the appropriate type for the matrix of the provided size. Returns the same instance or a new instance.
      Parameters:
      matrixSize - Number of rows and columns that the returned decomposition is optimized for.

    • decomposeSafe

      public static <T extends FMatrix> boolean decomposeSafe(DecompositionInterface<T> decomp, T M)
      A simple convenience function that decomposes the matrix but automatically checks the input to make sure it is not being modified.
      Type Parameters:
      T - Matrix type.
      Parameters:
      decomp - Decomposition which is being wrapped
      M - The matrix being decomposed.
      Returns:
      If the decomposition was successful or not.