Package org.ejml.dense.row.linsol.qr

Class LinearSolverQrHouseTran_FDRM

java.lang.Object
org.ejml.dense.row.linsol.LinearSolverAbstract_FDRM
org.ejml.dense.row.linsol.qr.LinearSolverQrHouseTran_FDRM
All Implemented Interfaces:
org.ejml.interfaces.linsol.LinearSolver<org.ejml.data.FMatrixRMaj,org.ejml.data.FMatrixRMaj>, org.ejml.interfaces.linsol.LinearSolverDense<org.ejml.data.FMatrixRMaj>
@Generated("org.ejml.dense.row.linsol.qr.LinearSolverQrHouseTran_DDRM") public class LinearSolverQrHouseTran_FDRM extends LinearSolverAbstract_FDRM

QR decomposition can be used to solve for systems. However, this is not as computationally efficient as LU decomposition and costs about 3n2 flops.

It solve for x by first multiplying b by the transpose of Q then solving for the result.
QRx=b
Rx=Q^T b

A column major decomposition is used in this solver.

  • Field Details

    • maxRows

      protected int maxRows

    • maxCols

      protected int maxCols

  • Constructor Details

    • LinearSolverQrHouseTran_FDRM

      public LinearSolverQrHouseTran_FDRM()
      Creates a linear solver that uses QR decomposition.

  • Method Details

    • setMaxSize

      public void setMaxSize(int maxRows, int maxCols)

    • setA

      public boolean setA(org.ejml.data.FMatrixRMaj A)
      Performs QR decomposition on A
      Parameters:
      A - not modified.

    • quality

      public double quality()

    • solve

      public void solve(org.ejml.data.FMatrixRMaj B, org.ejml.data.FMatrixRMaj X)
      Solves for X using the QR decomposition.
      Parameters:
      B - A matrix that is n by m. Not modified.
      X - An n by m matrix where the solution is written to. Modified.

    • modifiesA

      public boolean modifiesA()

    • modifiesB

      public boolean modifiesB()

    • getDecomposition

      public org.ejml.interfaces.decomposition.QRDecomposition<org.ejml.data.FMatrixRMaj> getDecomposition()