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

 * @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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 *
 * @param values The values to be filled into the new matrix.
 */
public DoubleMatrix1D make(double[] values) {
  if (this==sparse) return new SparseDoubleMatrix1D(values);
  else return new DenseDoubleMatrix1D(values);
}

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/**
 * 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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String[] formats =         {"%G", "%1.19G"};




// now the processing
int size = formats.length;
DoubleMatrix1D matrix = new DenseDoubleMatrix1D(values);


String[] strings = new String[size];
//String[] javaStrings = new String[size];


for (int i=0; i<size; i++) {
  String format = formats[i];
  strings[i] = new Formatter(format).toString(matrix);
  for (int j=0; j<matrix.size(); j++) {
    System.out.println(String.valueOf(matrix.get(j)));
  }
}


System.out.println("original:\n"+new Formatter().toString(matrix));

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 * Sorts by sinus of cell values.
 */
public static void zdemo3() {
  Sorting sort = quickSort;
  double[] values = {0.5, 1.5, 2.5, 3.5};
  DoubleMatrix1D matrix = new DenseDoubleMatrix1D(values);
  cern.colt.function.DoubleComparator comp = new cern.colt.function.DoubleComparator() {
    public int compare(double a, double b) {
      double as = Math.sin(a); double bs = Math.sin(b);
      return as < bs ? -1 : as == bs ? 0 : 1;
    }

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 * Demonstrates applying functions.
 */
protected static void zdemo4() {
  double[] values1 = {0, 1, 2, 3};
  double[] values2 = {0, 2, 4, 6};
  DoubleMatrix1D matrix1 = new DenseDoubleMatrix1D(values1);
  DoubleMatrix1D matrix2 = new DenseDoubleMatrix1D(values2);
  System.out.println("m1:"+matrix1);
  System.out.println("m2:"+matrix2);
  
  matrix1.assign(matrix2, cern.jet.math.Functions.pow);

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String[] formats =         {"%G", "%1.19G"};




// now the processing
int size = formats.length;
DoubleMatrix1D matrix = new DenseDoubleMatrix1D(values);


String[] strings = new String[size];
//String[] javaStrings = new String[size];


for (int i=0; i<size; i++) {
  String format = formats[i];
  strings[i] = new Formatter(format).toString(matrix);
  for (int j=0; j<matrix.size(); j++) {
    System.out.println(String.valueOf(matrix.get(j)));
  }
}


System.out.println("original:\n"+new Formatter().toString(matrix));

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 * Sorts by sinus of cell values.
 */
public static void zdemo3() {
  Sorting sort = quickSort;
  double[] values = {0.5, 1.5, 2.5, 3.5};
  DoubleMatrix1D matrix = new DenseDoubleMatrix1D(values);
  cern.colt.function.DoubleComparator comp = new cern.colt.function.DoubleComparator() {
    public int compare(double a, double b) {
      double as = Math.sin(a); double bs = Math.sin(b);
      return as < bs ? -1 : as == bs ? 0 : 1;
    }

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 * Demonstrates applying functions.
 */
protected static void zdemo4() {
  double[] values1 = {0, 1, 2, 3};
  double[] values2 = {0, 2, 4, 6};
  DoubleMatrix1D matrix1 = new DenseDoubleMatrix1D(values1);
  DoubleMatrix1D matrix2 = new DenseDoubleMatrix1D(values2);
  System.out.println("m1:"+matrix1);
  System.out.println("m2:"+matrix2);


  matrix1.assign(matrix2, cern.jet.math.Functions.pow);

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 *
 * @param values The values to be filled into the new matrix.
 */
public DoubleMatrix1D make(double[] values) {
  if (this==sparse) return new SparseDoubleMatrix1D(values);
  else return new DenseDoubleMatrix1D(values);
}

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