Package org.ejml.simple

Examples of org.ejml.simple.SimpleMatrix.numRows()

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        assertTrue( !U.hasUncountable() );
        assertTrue( !Vt.hasUncountable() );
        assertTrue( !W.hasUncountable() );

        if( svd.isCompact() ) {
            assertEquals(W.numCols(),W.numRows());
            assertEquals(U.numCols(),W.numRows());
            assertEquals(Vt.numRows(),W.numCols());
        } else {
            assertEquals(U.numCols(),W.numRows());
            assertEquals(W.numCols(),Vt.numRows());
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        assertTrue( !Vt.hasUncountable() );
        assertTrue( !W.hasUncountable() );

        if( svd.isCompact() ) {
            assertEquals(W.numCols(),W.numRows());
            assertEquals(U.numCols(),W.numRows());
            assertEquals(Vt.numRows(),W.numCols());
        } else {
            assertEquals(U.numCols(),W.numRows());
            assertEquals(W.numCols(),Vt.numRows());
            assertEquals(U.numCols(),U.numRows());
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        if( svd.isCompact() ) {
            assertEquals(W.numCols(),W.numRows());
            assertEquals(U.numCols(),W.numRows());
            assertEquals(Vt.numRows(),W.numCols());
        } else {
            assertEquals(U.numCols(),W.numRows());
            assertEquals(W.numCols(),Vt.numRows());
            assertEquals(U.numCols(),U.numRows());
            assertEquals(Vt.numCols(),Vt.numRows());
        }
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        BlockMatrix64F blockA = BlockMatrixOps.convert(origA.getMatrix(),N);
        BlockMatrix64F blockB = BlockMatrixOps.convert(origB.getMatrix(),N);

        D1Submatrix64F subA = new D1Submatrix64F(blockA,0, origA.numRows(), 0, origA.numCols());
        D1Submatrix64F subB = new D1Submatrix64F(blockB,0, origB.numRows(), 0, origB.numCols());

        SimpleMatrix expected = origA.plus(origB.transpose().mult(origB).scale(alpha));
        BlockInnerRankUpdate.rankNUpdate(N,alpha,subA,subB);

        assertTrue(GenericMatrixOps.isEquivalent(expected.getMatrix(),blockA,1e-8));
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        BlockMatrix64F blockA = BlockMatrixOps.convert(origA.getMatrix(),N);
        BlockMatrix64F blockB = BlockMatrixOps.convert(origB.getMatrix(),N);

        D1Submatrix64F subA = new D1Submatrix64F(blockA,0, origA.numRows(), 0, origA.numCols());
        D1Submatrix64F subB = new D1Submatrix64F(blockB,0, origB.numRows(), 0, origB.numCols());

        SimpleMatrix expected = origA.plus(origB.transpose().mult(origB).scale(-1));
        BlockInnerRankUpdate.symmRankNMinus_U(N,subA,subB);

        assertTrue(GenericMatrixOps.isEquivalentTriangle(true,expected.getMatrix(),blockA,1e-8));
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        BlockMatrix64F blockA = BlockMatrixOps.convert(origA.getMatrix(),N);
        BlockMatrix64F blockB = BlockMatrixOps.convert(origB.getMatrix(),N);

        D1Submatrix64F subA = new D1Submatrix64F(blockA,0, origA.numRows(), 0, origA.numCols());
        D1Submatrix64F subB = new D1Submatrix64F(blockB,0, origB.numRows(), 0, origB.numCols());

        SimpleMatrix expected = origA.plus(origB.mult(origB.transpose()).scale(-1));
        BlockInnerRankUpdate.symmRankNMinus_L(N,subA,subB);

//        expected.print();
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        BlockMatrix64F Ab = BlockMatrixOps.convert(A.getMatrix(),r);

        BlockHouseHolder.rank1UpdateMultR_Col(r,new D1Submatrix64F(Ab),1,gamma);

        for( int i = 1; i < expected.numRows(); i++ ) {
            assertEquals(expected.get(i,0),Ab.get(i,2),1e-8);
        }
    }

    @Test
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   * matrix will have all of its elements sum to 1.  If your matrix is
   * not already a vector, be sure this is what you actually want.
   */
  public static SimpleMatrix softmax(SimpleMatrix input) {
    SimpleMatrix output = new SimpleMatrix(input);
    for (int i = 0; i < output.numRows(); ++i) {
      for (int j = 0; j < output.numCols(); ++j) {
        output.set(i, j, Math.exp(output.get(i, j)));
      }
    }
    double sum = output.elementSum();
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  /**
   * Applies log to each of the entries in the matrix.  Returns a new matrix.
   */
  public static SimpleMatrix elementwiseApplyLog(SimpleMatrix input) {
    SimpleMatrix output = new SimpleMatrix(input);
    for (int i = 0; i < output.numRows(); ++i) {
      for (int j = 0; j < output.numCols(); ++j) {
        output.set(i, j, Math.log(output.get(i, j)));
      }
    }
    return output;
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  /**
   * Applies tanh to each of the entries in the matrix.  Returns a new matrix.
   */
  public static SimpleMatrix elementwiseApplyTanh(SimpleMatrix input) {
    SimpleMatrix output = new SimpleMatrix(input);
    for (int i = 0; i < output.numRows(); ++i) {
      for (int j = 0; j < output.numCols(); ++j) {
        output.set(i, j, Math.tanh(output.get(i, j)));
      }
    }
    return output;
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