LinearSolverFactory_CDRM (ejml-cdense 0.39 API)

java.lang.Object
- org.ejml.dense.row.factory.LinearSolverFactory_CDRM

public class LinearSolverFactory_CDRM
extends java.lang.Object

Factory for creating linear solvers of complex matrices

Constructor Summary

Constructors
Constructor Description

LinearSolverFactory_CDRM()

Method Summary

All Methods Static Methods Concrete Methods
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 Detail
  - LinearSolverFactory_CDRM
```
public LinearSolverFactory_CDRM()
```
- Method Detail
  - 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