/**
* Build a sparse matrix with the supplied row and column dimensions.
*
* @param rowDimension Number of rows of the matrix.
* @param columnDimension Number of columns of the matrix.
* @throws NotStrictlyPositiveException if row or column dimension is not
* positive.
* @throws NumberIsTooLargeException if the total number of entries of the
* matrix is larger than {@code Integer.MAX_VALUE}.
*/
public OpenMapRealMatrix(int rowDimension, int columnDimension) : base(rowDimension, columnDimension)
{
long lRow = rowDimension;
long lCol = columnDimension;
if (lRow * lCol >= Integer.MAX_VALUE)
{
throw new Exception("NumberIsTooLargeException");
}
rows = rowDimension;
columns = columnDimension;
entries = new OpenIntToDoubleHashMap(0.0);
}
/// <summary>
/// Build a sparse matrix with the supplied row and column dimensions.
/// </summary>
/// <param name="rowDimension">Number of rows of the matrix.</param>
/// <param name="columnDimension">Number of columns of the matrix.</param>
/// <exception cref="NotStrictlyPositiveException"> if row or column dimension is not
/// positive.</exception>
/// <exception cref="NumberIsTooLargeException"> if the total number of entries of the
/// matrix is larger than <c>Int32.MaxValue</c>.</exception>
public OpenMapRealMatrix(int rowDimension, int columnDimension)
: base(rowDimension, columnDimension)
{
long lRow = rowDimension;
long lCol = columnDimension;
if (lRow * lCol >= Int32.MaxValue)
{
throw new NumberIsTooLargeException <Int64, Int32>(lRow * lCol, Int32.MaxValue, false);
}
this.rows = rowDimension;
this.columns = columnDimension;
this.entries = new OpenIntToDoubleHashMap(0.0);
}
/// <summary>
/// Build a matrix by copying another one.
/// </summary>
/// <param name="matrix">matrix to copy.</param>
public OpenMapRealMatrix(OpenMapRealMatrix matrix)
{
this.rows = matrix.rows;
this.columns = matrix.columns;
this.entries = new OpenIntToDoubleHashMap(matrix.entries);
}
