Examples of cern.colt.matrix.DoubleMatrix2D.viewRow()

cern.colt.matrix.DoubleMatrix2D.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)

  DoubleMatrix2D X = B.copy();
  int nx = B.columns();
  
  // precompute and cache some views to avoid regenerating them time and again
  DoubleMatrix1D[] Xrows = new DoubleMatrix1D[n];
  for (int k = 0; k < n; k++) Xrows[k] = X.viewRow(k);
  
  // Solve L*Y = B;
  for (int k = 0; k < n; k++) {
    for (int i = k+1; i < n; i++) {
      // X[i,j] -= X[k,j]*L[i,k]


  for (int r = rowIndexes.length; --r >= 0; ) {
    int row = rowIndexes[r];
    if (row < 0 || row >= rows)
      throw new IndexOutOfBoundsException("Illegal Index");
    sub.viewRow(r).assign(A.viewRow(row));
  }
  return sub;
}
/**
 * Copies the rows of the indicated columns into a new sub matrix.

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