Package org.ejml.dense.row.linsol.qr

Class LinearSolverQrHouse_CDRM

java.lang.Object
org.ejml.dense.row.linsol.LinearSolverAbstract_CDRM
org.ejml.dense.row.linsol.qr.LinearSolverQrHouse_CDRM
All Implemented Interfaces:
org.ejml.interfaces.linsol.LinearSolver<org.ejml.data.CMatrixRMaj,​org.ejml.data.CMatrixRMaj>, org.ejml.interfaces.linsol.LinearSolverDense<org.ejml.data.CMatrixRMaj>
@Generated("org.ejml.dense.row.linsol.qr.LinearSolverQrHouse_ZDRM")
public class LinearSolverQrHouse_CDRM
extends LinearSolverAbstract_CDRM

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^H b

  • Constructor Details

    • LinearSolverQrHouse_CDRM

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

  • Method Details

    • setMaxSize

      public void setMaxSize​(int maxRows)

    • setA

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

    • quality

      public double quality()

    • solve

      public void solve​(org.ejml.data.CMatrixRMaj B, org.ejml.data.CMatrixRMaj 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 writen to. Modified.

    • modifiesA

      public boolean modifiesA()

    • modifiesB

      public boolean modifiesB()

    • getDecomposition

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