Examples of edu.ucla.sspace.vector.DoubleVector

edu.ucla.sspace.vector.DoubleVector
An generalized interface for vectors. This interface allows implementations to implement the vector with any kind of underlying data type, but the input and output data types must be doubles.
Methods which modify the state of a {@code Vector} are optional.Implementations that are not modifiable should throw an {@code UnsupportedOperationException} if such methods are called. These methods aremarked as "optional" in the specification for the interface. @author Keith Stevens

    protected static int computeCut(Matrix matrix, 
                                    DoubleVector rho, 
                                    double rhoSum,
                                    DoubleVector matrixRowSums) {
        // Compute the conductance of the newly sorted matrix.
        DoubleVector x = new DenseVector(matrix.columns());
        DoubleVector y = matrixRowSums;
        VectorMath.subtract(y, x);


        // First compute x and y, which are summations of different cuts of the
        // matrix, starting with x being the first row and y being the summation
        // of all other rows.  While doing this, also compute different
        // summations of values in the rho vector using the same cut.
        VectorMath.add(x, matrix.getRowVector(0));
        double rhoX = rho.get(0);
        double rhoY = rhoSum - rho.get(0);


        // Compute the dot product between the first possible cut.
        double u = VectorMath.dotProduct(x, y); 


        // Find the current conductance for the cut, assume that this is the
        // best so far.
        double minConductance = u / Math.min(rhoX, rhoY);
        int cutIndex = 0;


        // Compute the other possible cuts, ignoring the last cut, which would
        // leave no data points in a partition.  The cut with the smallest
        // conductance is maintained.
        for (int i = 1; i < rho.length() - 2; ++i) {
            // Compute the new value of u, the denominator for computing the
            // conductance.
            DoubleVector vector = matrix.getRowVector(i);
            double xv = VectorMath.dotProduct(x, vector);
            double yv = VectorMath.dotProduct(y, vector);
            u = u - xv + yv + 1;


            // Shift over vectors from y to x.

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     * This method also assumes that {@code matrix} is row based and iterates
     * over each of the values in the row before iterating over another row.
     */
    protected static DoubleVector computeMatrixTransposeV(Matrix matrix,
                                                          DoubleVector v) {
        DoubleVector newV = new DenseVector(matrix.columns());
        if (matrix instanceof SparseMatrix) {
            SparseMatrix smatrix = (SparseMatrix) matrix;
            for (int r = 0; r < smatrix.rows(); ++r) {
                SparseDoubleVector row = smatrix.getRowVector(r);
                int[] nonZeros = row.getNonZeroIndices();
                for (int c : nonZeros)
                    newV.add(c, row.get(c) * v.get(r));
            }
        } else {
            for (int r = 0; r < matrix.rows(); ++r)
                for (int c = 0; c < matrix.columns(); ++c)
                    newV.add(c, matrix.get(r, c) * v.get(r));
        }
        return newV;
    }

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     * Compute the row sums of the values in {@code matrix} and returns the
     * values in a vector of length {@code matrix.columns()}.
     */
    protected static <T extends Matrix> DoubleVector computeMatrixRowSum(
            T matrix) {
        DoubleVector rowSums = new DenseVector(matrix.columns());
        for (int r = 0; r < matrix.rows(); ++r)
            VectorMath.add(rowSums, matrix.getRowVector(r));
        return rowSums;
    }

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    @Test
    public void testGetRowVector() {
        Matrix baseMatrix = new ArrayMatrix(baseValues);
        Matrix maskedMatrix = new CellMaskedMatrix(baseMatrix, rowMap, colMap);
        for (int r = 0; r < maskedMatrix.rows(); ++r) {
            DoubleVector rowVector = maskedMatrix.getRowVector(r);
            assertEquals(4, rowVector.length());
            for (int c = 0; c < 4; ++c)
                assertEquals(getBaseValue(baseMatrix, r, c),
                             rowVector.get(c), .000001);
        }
    }

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    @Test
    public void testGetColumnVector() {
        Matrix baseMatrix = new ArrayMatrix(baseValues);
        Matrix maskedMatrix = new CellMaskedMatrix(baseMatrix, rowMap, colMap);
        for (int c = 0; c < maskedMatrix.columns(); ++c) {
            DoubleVector colVector = maskedMatrix.getColumnVector(c);
            assertEquals(3, colVector.length());
            for (int r = 0; r < 3; ++r) 
                assertEquals(getBaseValue(baseMatrix, r, c),
                             colVector.get(r), .000002);
        }
    }

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    @Test
    public void testSetRowVector() {
        Matrix baseMatrix = new ArrayMatrix(baseValues);
        Matrix maskedMatrix = new CellMaskedMatrix(baseMatrix, rowMap, colMap);
        DoubleVector row = new DenseVector(new double[]{1, 2, 3, 4});
        maskedMatrix.setRow(0, row);
        for (int i = 0; i < 4; i++)
            assertEquals(getBaseValue(baseMatrix, 0, i), row.get(i), .000001);
    }

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    @Test
    public void testSetColumnVector() {
        Matrix baseMatrix = new ArrayMatrix(baseValues);
        Matrix maskedMatrix = new CellMaskedMatrix(baseMatrix, rowMap, colMap);
        DoubleVector col = new DenseVector(new double[] {1, 2, 3});
        maskedMatrix.setColumn(0, col);
        for (int i = 0; i < 3; i++)
            assertEquals(getBaseValue(baseMatrix, i, 0), col.get(i), .000001);
    }

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        for (int r = 0; r < base.rows(); ++r)
            for (int c = 0; c < base.columns(); ++c)
                assertEquals(base.get(r, c) * SCALE.get(r), scaled.get(r, c), .0001);


        for (int r = 0; r < base.rows(); ++r) {
            DoubleVector v = scaled.getRowVector(r);
            assertEquals(base.columns(), v.length());
            for (int c = 0; c < base.columns(); ++c)
                assertEquals(base.get(r, c) * SCALE.get(r), v.get(c), .0001);
        }
    }

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        for (int i = 0; i < 10; ++i) {
            for (int j = 0; j < 10; ++j)
                matrix.set(i, j, i*j);
        }
        
        DoubleVector row5 = matrix.getRowVector(5);
        for (int j = 0; j < 10; ++j) 
            assertEquals(5 * j, row5.get(j), 0.001d);
        assertEquals(10, row5.length());
        row5.set(5, -1d);
        assertEquals(-1, row5.get(5), 0.001d);
        assertEquals(-1, matrix.get(5,5), 0.001d);
    }

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        for (int r = 0; r < base.rows(); ++r)
            for (int c = 0; c < base.columns(); ++c)
                assertEquals(base.get(r, c) * SCALE.get(r), scaled.get(r, c), .0001);


        for (int r = 0; r < base.rows(); ++r) {
            DoubleVector v = scaled.getRowVector(r);
            assertEquals(base.columns(), v.length());
            for (int c = 0; c < base.columns(); ++c)
                assertEquals(base.get(r, c) * SCALE.get(r), v.get(c), .0001);
        }
    }

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