Examples of cern.colt.matrix.impl.DenseDoubleMatrix1D

cern.colt.matrix.impl.DenseDoubleMatrix1D
Dense 1-d matrix (aka vector) holding double elements. First see the package summary and javadoc tree view to get the broad picture.
Implementation:
Internally holds one single contigous one-dimensional array. Note that this implementation is not synchronized.
Memory requirements:
memory [bytes] = 8*size(). Thus, a 1000000 matrix uses 8 MB.
Time complexity:
O(1) (i.e. constant time) for the basic operations get, getQuick, set, setQuick and size,
@author wolfgang.hoschek@cern.ch @version 1.0, 09/24/99

/**
 * Constructs a matrix with the given shape, each cell initialized with zero.
 */
public DoubleMatrix1D make(int size) {
  if (this==sparse) return new SparseDoubleMatrix1D(size);
  return new DenseDoubleMatrix1D(size);
}

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 * @throws IllegalArgumentException if <tt>A.columns() != y.size() || A.rows() > z.size())</tt>.
 */
public DoubleMatrix1D zMult(DoubleMatrix1D y, DoubleMatrix1D z, double alpha, double beta, boolean transposeA) {
  if (transposeA) return viewDice().zMult(y,z,alpha,beta,false);
  //boolean ignore = (z==null);
  if (z==null) z = new DenseDoubleMatrix1D(this.rows);
  if (columns != y.size() || rows > z.size())  
    throw new IllegalArgumentException("Incompatible args: "+toStringShort()+", "+y.toStringShort()+", "+z.toStringShort());


  for (int i = rows; --i >= 0; ) {
    double s = 0;

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     * or calculates it if not.
     *
     * @return DoubleMatrix1D
     */
    private DoubleMatrix1D getStationaryDistribution() {
        DoubleMatrix1D piVector = new DenseDoubleMatrix1D(getVertexCount());
        PageRank<V,E> pageRank = new PageRank<V,E>(getGraph(), 
                MapTransformer.getInstance(getEdgeWeights()), 0);
        pageRank.evaluate();
        
        for (V v : getGraph().getVertices())
            piVector.set(mIndexer.get(v), pageRank.getVertexScore(v));
        return piVector;
    }

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     * implementation that provides such an ordering ({@code SortedMap, LinkedHashMap}, etc.).
     */
    public static <V> DoubleMatrix1D mapTo1DMatrix(Map<V,Number> map)
    {
        int numVertices = map.size();
        DoubleMatrix1D vector = new DenseDoubleMatrix1D(numVertices);
        int i = 0;
        for (V v : map.keySet())
        {
            vector.set(i, map.get(v).doubleValue());
            i++;
        }
        return vector;
    }

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