Package org.ejml.dense.row.factory

Class LinearSolverFactory_CDRM

java.lang.Object
org.ejml.dense.row.factory.LinearSolverFactory_CDRM
@Generated("org.ejml.dense.row.factory.LinearSolverFactory_ZDRM") public class LinearSolverFactory_CDRM extends Object
Factory for creating linear solvers of complex matrices

  • Constructor Summary

    Constructors
    Constructor
    Description
    LinearSolverFactory_CDRM()
     

  • Method Summary

    Modifier and Type
    Method
    Description
    static org.ejml.interfaces.linsol.LinearSolverDense<org.ejml.data.CMatrixRMaj>
    chol(int matrixSize)
    Creates a linear solver which uses Cholesky decomposition internally
    static org.ejml.interfaces.linsol.LinearSolverDense<org.ejml.data.CMatrixRMaj>
    lu(int matrixSize)
    Creates a linear solver which uses LU decomposition internally
    static org.ejml.interfaces.linsol.LinearSolverDense<org.ejml.data.CMatrixRMaj>
    qr(int numRows, int numCols)
    Creates a linear solver which uses QR decomposition internally

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

  • Constructor Details

    • LinearSolverFactory_CDRM

      public LinearSolverFactory_CDRM()

  • Method Details

    • lu

      public static org.ejml.interfaces.linsol.LinearSolverDense<org.ejml.data.CMatrixRMaj> lu(int matrixSize)
      Creates a linear solver which uses LU decomposition internally
      Parameters:
      matrixSize - Approximate of rows and columns
      Returns:
      Linear solver

    • chol

      public static org.ejml.interfaces.linsol.LinearSolverDense<org.ejml.data.CMatrixRMaj> chol(int matrixSize)
      Creates a linear solver which uses Cholesky decomposition internally
      Parameters:
      matrixSize - Approximate of rows and columns
      Returns:
      Linear solver

    • qr

      public static org.ejml.interfaces.linsol.LinearSolverDense<org.ejml.data.CMatrixRMaj> qr(int numRows, int numCols)
      Creates a linear solver which uses QR decomposition internally
      Parameters:
      numRows - Approximate of rows
      numCols - Approximate of columns
      Returns:
      Linear solver