Example usage for org.apache.commons.math3.linear Array2DRowRealMatrix isSquare

Introduction

In this page you can find the example usage for org.apache.commons.math3.linear Array2DRowRealMatrix isSquare.

Prototype

public boolean isSquare() 

Source Link

Usage

From source file:com.ibm.bi.dml.runtime.matrix.data.LibCommonsMath.java

/**
 * Function to compute matrix inverse via matrix decomposition.
 * /*from   ww  w .  j a  v  a2 s  .c  om*/
 * @param in
 * @return
 * @throws DMLRuntimeException
 */
private static MatrixBlock computeMatrixInverse(Array2DRowRealMatrix in) throws DMLRuntimeException {

    if (!in.isSquare())
        throw new DMLRuntimeException("Input to inv() must be square matrix -- given: a " + in.getRowDimension()
                + "x" + in.getColumnDimension() + " matrix.");

    QRDecomposition qrdecompose = new QRDecomposition(in);
    DecompositionSolver solver = qrdecompose.getSolver();
    RealMatrix inverseMatrix = solver.getInverse();

    MatrixBlock inverse = DataConverter.convertToMatrixBlock(inverseMatrix.getData());

    return inverse;
}

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From source file:org.apache.sysml.runtime.matrix.data.LibCommonsMath.java

/**
 * Function to compute matrix inverse via matrix decomposition.
 * //from w  w w .j  a  va 2 s .  c  o  m
 * @param in commons-math3 Array2DRowRealMatrix
 * @return matrix block
 * @throws DMLRuntimeException if DMLRuntimeException occurs
 */
private static MatrixBlock computeMatrixInverse(Array2DRowRealMatrix in) throws DMLRuntimeException {
    if (!in.isSquare())
        throw new DMLRuntimeException("Input to inv() must be square matrix -- given: a " + in.getRowDimension()
                + "x" + in.getColumnDimension() + " matrix.");

    QRDecomposition qrdecompose = new QRDecomposition(in);
    DecompositionSolver solver = qrdecompose.getSolver();
    RealMatrix inverseMatrix = solver.getInverse();

    return DataConverter.convertToMatrixBlock(inverseMatrix.getData());
}

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From source file:org.apache.sysml.runtime.matrix.data.LibCommonsMath.java

/**
 * Function to compute Cholesky decomposition of the given input matrix. 
 * The input must be a real symmetric positive-definite matrix.
 * /*from  ww w  . ja  v a2  s.  c  om*/
 * @param in commons-math3 Array2DRowRealMatrix
 * @return matrix block
 * @throws DMLRuntimeException if DMLRuntimeException occurs
 */
private static MatrixBlock computeCholesky(Array2DRowRealMatrix in) throws DMLRuntimeException {
    if (!in.isSquare())
        throw new DMLRuntimeException("Input to cholesky() must be square matrix -- given: a "
                + in.getRowDimension() + "x" + in.getColumnDimension() + " matrix.");

    CholeskyDecomposition cholesky = new CholeskyDecomposition(in);
    RealMatrix rmL = cholesky.getL();

    return DataConverter.convertToMatrixBlock(rmL.getData());
}

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