Examples of org.apache.commons.math.linear.RealVector.subtract()

Class org.apache.commons.math.linear.RealVector

Examples of org.apache.commons.math.linear.RealVector.subtract()

org.apache.commons.math.linear.RealVector.subtract()
Subtract {@code v} from this vector. @param v Vector to be subtracted. @return {@code this} - {@code v}. @throws org.apache.commons.math.exception.DimensionMismatchException if {@code v} is not the same size as this vector.

        EigenDecomposition ed = new EigenDecompositionImpl(matrix, MathUtils.SAFE_MIN);
        for (int i = 0; i < matrix.getRowDimension(); ++i) {
            double lambda = ed.getRealEigenvalue(i);
            RealVector v  = ed.getEigenvector(i);
            RealVector mV = matrix.operate(v);
            assertEquals(0, mV.subtract(v.mapMultiplyToSelf(lambda)).getNorm(), 1.0e-13);
        }
    }


    /** test A = VDVt */
    public void testAEqualVDVt() {

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        }


        // using ArrayRealVector
        for (int i = 0; i < b.getColumnDimension(); ++i) {
            final RealVector x = solver.solve(b.getColumnVector(i));
            final double error = x.subtract(xRef.getColumnVector(i)).getNorm();
            assertEquals(0, error, 3.0e-16 * xRef.getColumnVector(i).getNorm());
        }


        // using RealVector with an alternate implementation
        for (int i = 0; i < b.getColumnDimension(); ++i) {

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        // using RealVector with an alternate implementation
        for (int i = 0; i < b.getColumnDimension(); ++i) {
            ArrayRealVectorTest.RealVectorTestImpl v =
                new ArrayRealVectorTest.RealVectorTestImpl(b.getColumn(i));
            final RealVector x = solver.solve(v);
            final double error = x.subtract(xRef.getColumnVector(i)).getNorm();
            assertEquals(0, error, 3.0e-16 * xRef.getColumnVector(i).getNorm());
        }


    }

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        EigenDecomposition ed = new EigenDecompositionImpl(matrix, MathUtils.SAFE_MIN);
        for (int i = 0; i < matrix.getRowDimension(); ++i) {
            double lambda = ed.getRealEigenvalue(i);
            RealVector v  = ed.getEigenvector(i);
            RealVector mV = matrix.operate(v);
            assertEquals(0, mV.subtract(v.mapMultiplyToSelf(lambda)).getNorm(), 1.0e-13);
        }
    }


    /** test A = VDVt */
    public void testAEqualVDVt() {

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