Examples of org.apache.mahout.math.matrix.DoubleMatrix2D.assign()

Class org.apache.mahout.math.matrix.DoubleMatrix2D

Examples of org.apache.mahout.math.matrix.DoubleMatrix2D.assign()

org.apache.mahout.math.matrix.DoubleMatrix2D.assign()
Sets all cells to the state specified by values. values is required to have the form values[row][column] and have exactly the same number of rows and columns as the receiver.
The values are copied. So subsequent changes in values are not reflected in the matrix, and vice-versa. @param values the values to be filled into the cells. @return this (for convenience only). @throws IllegalArgumentException if values.length != rows() || for any 0 <= row < rows():values[row].length != columns().

    if (p == 0) {
      return DoubleFactory2D.dense.identity(A.rows());
    }
    DoubleMatrix2D T = A.like(); // temporary
    if (p == 1) {
      return T.assign(A);
    }  // safes one auxiliary matrix allocation
    if (p == 2) {
      blas.dgemm(false, false, 1, A, A, 0, T); // mult(A,A); // safes one auxiliary matrix allocation
      return T;
    }

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    @Test
    public void testMaxSparseness()
    {
        final DoubleMatrix2D sparse = new DenseDoubleMatrix2D(2, 2);
        sparse.assign(3);
        assertThat(MatrixUtils.computeSparseness(sparse)).isEqualTo(1);
    }


    @Test
    public void frobeniusNorm()

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        V = new DenseDoubleMatrix2D(n, k);
        seedingStrategy.seed(A, U, V);


        // Temporary matrices
        DoubleMatrix2D Aeps = A.copy();
        Aeps.assign(Functions.plus(eps));
        DoubleMatrix2D UV = new DenseDoubleMatrix2D(m, n);
        DoubleMatrix2D VT = new DenseDoubleMatrix2D(n, k);
        DoubleMatrix2D UT = new DenseDoubleMatrix2D(m, k);
        double [] work = new double [U.columns()];

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        V = new DenseDoubleMatrix2D(A.columns(), k);
        seedingStrategy.seed(A, U, V);


        // Temporary matrices
        DoubleMatrix2D Aeps = A.copy();
        Aeps.assign(Functions.plus(eps));
        DoubleMatrix2D UV = new DenseDoubleMatrix2D(A.rows(), A.columns());
        DoubleMatrix2D VT = new DenseDoubleMatrix2D(A.columns(), k);
        DoubleMatrix2D UT = new DenseDoubleMatrix2D(A.rows(), k);
        double [] work = new double [U.columns()];

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            // Update V
            U.zMult(U, T, 1, 0, true, false); // T <- U'U
            A.zMult(U, VT1, 1, 0, true, false); // VT1 <- A'U
            V.zMult(T, VT2, 1, 0, false, false); // VT2 <- VT
            VT1.assign(plusEps); // TODO: shift this to the dividing function?
            VT2.assign(plusEps);
            VT1.assign(VT2, Functions.DIV); // VT1 <- VT1 ./ VT2
            V.assign(VT1, Functions.MULT); // V <- V .* VT1


            // Update U
            V.zMult(V, T, 1, 0, true, false); // T <- V'V

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