Examples of edu.ucla.sspace.matrix.DiagonalMatrix

edu.ucla.sspace.matrix.DiagonalMatrix
A special-case {@code Matrix} implementation for diagonal matrices. Thisclass provides a memory efficient representation and additional bounds checking to ensure non-diagonal elements cannot be set. @author Keith Stevens

            
            int rows = sigma.rows();
            double[] sigmaInv = new double[rows];
            for (int i = 0; i < rows; ++i)
                sigmaInv[i] = 1d / sigma.get(i, i);
            DiagonalMatrix sigmaInvMatrix = new DiagonalMatrix(sigmaInv);


            UtimesSigmaInv =
                Matrices.multiply(U, sigmaInvMatrix);
            // Update the field with the new reference to the precomputed matrix
            UtimesSigmaInvRef = new WeakReference<Matrix>(UtimesSigmaInv);

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    public Matrix getSingularValues() {
        if (singularValues == null)
            throw new IllegalStateException(
                "The matrix has not been factorized yet");
        // NOTE: make this read-only?
        return new DiagonalMatrix(singularValues);
    }

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Related Classes of edu.ucla.sspace.matrix.DiagonalMatrix

edu.ucla.sspace.lsa.LatentSemanticAnalysis

edu.ucla.sspace.matrix.factorization.AbstractSvd

edu.ucla.sspace.vector.SparseDoubleVector

edu.ucla.sspace.vector.SparseHashDoubleVector

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