Examples of cern.colt.matrix.ObjectMatrix2D.viewRow()

cern.colt.matrix.ObjectMatrix2D.viewRow()

Constructs and returns a new slice view representing the columns of the given row. The returned view is backed by this matrix, so changes in the returned view are reflected in this matrix, and vice-versa. To obtain a slice view on subranges, construct a sub-ranging view (viewPart(...)), then apply this method to the sub-range view.

Example:

2 x 3 matrix:
1, 2, 3
4, 5, 6

viewRow(0) ==>

Matrix1D of size 3:
1, 2, 3

@param row the row to fix. @return a new slice view. @throws IndexOutOfBoundsException if row < 0 || row>= rows(). @see #viewColumn(int)

 * Returns a string representation of the given matrix.
 * @param matrix the matrix to convert.
 */
public String toString(ObjectMatrix1D matrix) {
  ObjectMatrix2D easy = matrix.like2D(1,matrix.size());
  easy.viewRow(0).assign(matrix);
  return toString(easy);
}
/**
 * Returns a string representation of the given matrix.
 * @param matrix the matrix to convert.

 * Returns a string representation of the given matrix.
 * @param matrix the matrix to convert.
 */
public String toString(ObjectMatrix1D matrix) {
  ObjectMatrix2D easy = matrix.like2D(1,matrix.size());
  easy.viewRow(0).assign(matrix);
  return toString(easy);
}
/**
 * Returns a string representation of the given matrix.
 * @param matrix the matrix to convert.

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